Hubbry Logo
Well loggingWell loggingMain
Open search
Well logging
Community hub
Well logging
logo
7 pages, 0 posts
0 subscribers
Be the first to start a discussion here.
Be the first to start a discussion here.
Well logging
Well logging
from Wikipedia

Well logging, also known as borehole logging is the practice of making a detailed record (a well log) of the geologic formations penetrated by a borehole. The log may be based either on visual inspection of samples brought to the surface (geological logs) or on physical measurements made by instruments lowered into the hole (geophysical logs). Some types of geophysical well logs can be done during any phase of a well's history: drilling, completing, producing, or abandoning. Well logging is performed in boreholes drilled for the oil and gas, groundwater, mineral and geothermal exploration, as well as part of environmental, scientific and geotechnical studies.

Wireline logging

[edit]
Wireline log consisting of caliper, density and resistivity logs
Wireline log consisting of a complete set of logs

Different industries, as mining, oil and gas uses wireline logging to obtain a continuous record of a formation's rock properties, also, groundwater consultants.[1] Wireline logging can be defined as being "The acquisition and analysis of geophysical data performed as a function of well bore depth, together with the provision of related services." Note that "wireline logging" and "mud logging" are not the same, yet are closely linked through the integration of the data sets. The measurements are made referenced to "TAH" - True Along Hole depth: these and the associated analysis can then be used to infer further properties, such as hydrocarbon saturation and formation pressure, and to make further drilling and production decisions.

Wireline logging is performed by lowering a 'logging tool' - or a string of one or more instruments - on the end of a wireline into an oil well (or borehole) and recording petrophysical properties using a variety of sensors. Logging tools developed over the years measure the natural gamma ray, electrical, acoustic, stimulated radioactive responses, electromagnetic, nuclear magnetic resonance, pressure and other properties of the rocks and their contained fluids. For this article, they are broadly broken down by the main property that they respond to.

The data itself is recorded either at surface (real-time mode), or in the hole (memory mode) to an electronic data format and then either a printed record or electronic presentation called a "well log" is provided to the client, along with an electronic copy of the raw data. Well logging operations can either be performed during the drilling process (see Logging While Drilling), to provide real-time information about the formations being penetrated by the borehole, or once the well has reached Total Depth and the whole depth of the borehole can be logged.

Real-time data is recorded directly against measured cable depth. Memory data is recorded against time, and then depth data is simultaneously measured against time. The two data sets are then merged using the common time base to create an instrument response versus depth log. Memory recorded depth can also be corrected in exactly the same way as real-time corrections are made, so there should be no difference in the attainable TAH accuracy.

The measured cable depth can be derived from a number of different measurements, but is usually either recorded based on a calibrated wheel counter, or (more accurately) using magnetic marks which provide calibrated increments of cable length. The measurements made must then be corrected for elastic stretch and temperature.[2]

There are many types of wireline logs and they can be categorized either by their function or by the technology that they use. "Open hole logs" are run before the oil or gas well is lined with pipe or cased. "Cased hole logs" are run after the well is lined with casing or production pipe.[3]

Wireline logs can be divided into broad categories based on the physical properties measured.

History

[edit]

Conrad and Marcel Schlumberger, who founded Schlumberger Limited in 1926, are considered the inventors of electric well logging. Conrad developed the Schlumberger array, which was a technique for prospecting for metal ore deposits, and the brothers adapted that surface technique to subsurface applications. On September 5, 1927, a crew working for Schlumberger lowered an electric sonde or tool down a well in Pechelbronn, Alsace, France creating the first well log. In modern terms, the first log was a resistivity log that could be described as 3.5-meter upside-down lateral log.[4]

In 1931, Henri George Doll and G. Dechatre, working for Schlumberger, discovered that the galvanometer wiggled even when no current was being passed through the logging cables down in the well. This led to the discovery of the spontaneous potential (SP) which was as important as the ability to measure resistivity. The SP effect was produced naturally by the borehole mud at the boundaries of permeable beds. By simultaneously recording SP and resistivity, loggers could distinguish between permeable oil-bearing beds and impermeable nonproducing beds.[5]

In 1940, Schlumberger invented the spontaneous potential dipmeter; this instrument allowed the calculation of the dip and direction of the dip of a layer. The basic dipmeter was later enhanced by the resistivity dipmeter (1947) and the continuous resistivity dipmeter (1952).

Oil-based mud (OBM) was first used in Rangely Field, Colorado, in 1948. Normal electric logs require a conductive or water-based mud, but OBMs are nonconductive. The solution to this problem was the induction log, developed in the late 1940s.

The introduction of the transistor and integrated circuits in the 1960s made electric logs vastly more reliable. Computerization allowed much faster log processing, and dramatically expanded log data-gathering capacity. The 1970s brought more logs and computers. These included combo type logs where resistivity logs and porosity logs were recorded in one pass in the borehole.

The two types of porosity logs (acoustic logs and nuclear logs) date originally from the 1940s. Sonic logs grew out of technology developed during World War II. Nuclear logging has supplemented acoustic logging, but acoustic or sonic logs are still run on some combination logging tools.

Nuclear logging was initially developed to measure the natural gamma radiation emitted by underground formations. However, the industry quickly moved to logs that actively bombard rocks with nuclear particles. The gamma ray log, measuring the natural radioactivity, was introduced by Well Surveys Inc. in 1939, and the WSI neutron log came in 1941. The gamma ray log is particularly useful as shale beds which often provide a relatively low permeability cap over hydrocarbon reservoirs usually display a higher level of gamma radiation. These logs were important because they can be used in cased wells (wells with production casing). WSI quickly became part of Lane-Wells. During World War II, the US Government gave a near wartime monopoly on open-hole logging to Schlumberger, and a monopoly on cased-hole logging to Lane-Wells.[6] Nuclear logs continued to evolve after the war.

After the discovery of nuclear magnetic resonance by Bloch and Purcell in 1946, the nuclear magnetic resonance log using the Earth's field was developed in the early 1950s by Chevron and Schlumberger.[7] Nicolaas Bloembergen filed the Schlumberger patent in 1966.[8] The NMR log was a scientific success but an engineering failure. More recent engineering developments by NUMAR (a subsidiary of Halliburton) in the 1990s has resulted in continuous NMR logging technology which is now applied in the oil and gas, water and metal exploration industry.[9][citation needed]

Many modern oil and gas wells are drilled directionally. At first, loggers had to run their tools somehow attached to the drill pipe if the well was not vertical. Modern techniques now permit continuous information at the surface. This is known as logging while drilling (LWD) or measurement-while-drilling (MWD). MWD logs use mud pulse technology to transmit data from the tools on the bottom of the drillstring to the processors at the surface.

Electrical logs

[edit]

Resistivity log

[edit]

Resistivity logging measures the subsurface electrical resistivity, which can impede the flow of electric current. This helps to differentiate between formations filled with salty waters (good conductors of electricity) and those filled with hydrocarbons (poor conductors of electricity). Resistivity and porosity measurements are used to calculate water saturation. Resistivity is expressed in ohms·meter (Ω⋅m), and is frequently charted on a logarithm scale versus depth because of the large range of resistivity. The distance from the borehole penetrated by the current varies with the tool, from a few centimeters to one meter.

Borehole imaging

[edit]

The term "borehole imaging" refers to those logging and data-processing methods that are used to produce centimeter-scale images of the borehole wall and the rocks that make it up. The context is, therefore, that of open hole, but some of the tools are closely related to their cased-hole equivalents. Borehole imaging has been one of the most rapidly advancing technologies in wireline well logging. The applications range from detailed reservoir description through reservoir performance to enhanced hydrocarbon recovery. Specific applications are fracture identification,[10] analysis of small-scale sedimentological features, evaluation of net pay in thinly bedded formations, and the identification of breakouts (irregularities in the borehole wall that are aligned with the minimum horizontal stress and appear where stresses around the wellbore exceed the compressive strength of the rock).[11] The subject area can be classified into four parts:

  1. Optical imaging
  2. Acoustic imaging
  3. Electrical imaging
  4. Methods that draw on both acoustic and electrical imaging techniques using the same logging tool

Porosity logs

[edit]

Porosity logs measure the fraction or percentage of pore volume in a volume of rock. Most porosity logs use either acoustic or nuclear technology. Acoustic logs measure characteristics of sound waves propagated through the well-bore environment. Nuclear logs utilize nuclear reactions that take place in the downhole logging instrument or in the formation. Nuclear logs include density logs and neutron logs, as well as gamma ray logs which are used for correlation. [12] The basic principle behind the use of nuclear technology is that a neutron source placed near the formation whose porosity is being measured will result in neutrons being scattered by the hydrogen atoms, largely those present in the formation fluid. Since there is little difference in the neutrons scattered by hydrocarbons or water, the porosity measured gives a figure close to the true physical porosity whereas the figure obtained from electrical resistivity measurements is that due to the conductive formation fluid. The difference between neutron porosity and electrical porosity measurements therefore indicates the presence of hydrocarbons in the formation fluid.

Density

[edit]

The density log measures the bulk density of a formation by bombarding it with a radioactive source and measuring the resulting gamma ray count after the effects of Compton Scattering and Photoelectric absorption. This bulk density can then be used to determine porosity.

Neutron porosity

[edit]

The neutron porosity log works by bombarding a formation with high energy epithermal neutrons that lose energy through elastic scattering to near thermal levels before being absorbed by the nuclei of the formation atoms. Depending on the particular type of neutron logging tool, either the gamma ray of capture, scattered thermal neutrons or scattered, higher energy epithermal neutrons are detected.[13] The neutron porosity log is predominantly sensitive to the quantity of hydrogen atoms in a particular formation, which generally corresponds to rock porosity.

Boron is known to cause anomalously low neutron tool count rates due to it having a high capture cross section for thermal neutron absorption.[14] An increase in hydrogen concentration in clay minerals has a similar effect on the count rate.

Sonic

[edit]

A sonic log provides a formation interval transit time, which is typically a function of lithology and rock texture but particularly porosity. The logging tool consists of at least one piezoelectric transmitter and two or more receivers. The time it takes for the sound wave to travel the fixed distance between two receivers is recorded as an interval transit time.

Lithology logs

[edit]

Gamma ray

[edit]

A log of the natural radioactivity of the formation along the borehole, measured in API units, particularly useful for distinguishing between sands and shales in a siliclastic environment.[15] This is because sandstones are usually nonradioactive quartz, whereas shales are naturally radioactive due to potassium isotopes in clays, and adsorbed uranium and thorium.

In some rocks, and in particular in carbonate rocks, the contribution from uranium can be large and erratic, and can cause the carbonate to be mistaken for a shale. In this case, the carbonate gamma ray is a better indicator of shale content. The carbonate gamma ray log is a gamma ray log from which the uranium contribution has been subtracted.

Self/spontaneous potential

[edit]

The Spontaneous Potential (SP) log measures the natural or spontaneous potential difference between the borehole and the surface, without any applied current. It was one of the first wireline logs to be developed, found when a single potential electrode was lowered into a well and a potential was measured relative to a fixed reference electrode at the surface.[16]

The most useful component of this potential difference is the electrochemical potential because it can cause a significant deflection in the SP response opposite permeable beds. The magnitude of this deflection depends mainly on the salinity contrast between the drilling mud and the formation water, and the clay content of the permeable bed. Therefore, the SP log is commonly used to detect permeable beds and to estimate clay content and formation water salinity. The SP log can be used to distinguish between impermeable shale and permeable shale and porous sands.

Miscellaneous logs

[edit]

Caliper

[edit]

A tool that measures the diameter of the borehole mechanically, using either 2 or 4 arms,[15] or through high-frequency acoustic signals.[17] Because most logs are dependent on borehole regularity to record accurately, the caliper log can indicate where logs are potentially compromised due to the borehole being either over-gauged (due to washout) or under-gauged (like mudcake buildup).

Nuclear magnetic resonance

[edit]

Nuclear magnetic resonance (NMR) logging uses the NMR response of a formation to directly determine its porosity and permeability, providing a continuous record along the length of the borehole.[18][19] The chief application of the NMR tool is to determine moveable fluid volume (BVM) of a rock. This is the pore space excluding clay bound water (CBW) and irreducible water (BVI). Neither of these are moveable in the NMR sense, so these volumes are not easily observed on older logs. On modern tools, both CBW and BVI can often be seen in the signal response after transforming the relaxation curve to the porosity domain. Note that some of the moveable fluids (BVM) in the NMR sense are not actually moveable in the oilfield sense of the word. Residual oil and gas, heavy oil, and bitumen may appear moveable to the NMR precession measurement, but these will not necessarily flow into a well bore.[20]

Spectral acoustic logging

[edit]

Spectral acoustic logging is an acoustic measurement technique used in oil and gas wells for well integrity analysis, identification of production and injection intervals and hydrodynamic characterisation of the reservoir. Spectral acoustic logging records acoustic energy generated by fluid or gas flow through the reservoir or leaks in downhole well components.

Acoustic logging tools have been used in the petroleum industry for several decades. As far back as 1955, an acoustic detector was proposed for use in well integrity analysis to identify casing holes.[21] Over many years, downhole acoustic logging tools proved effective in inflow and injectivity profiling of operating wells,[22][23] leak detection,[24][25] location of cross-flows behind casing,[26] and even in determining reservoir fluid compositions.[27] Robinson (1974) described how noise logging can be used to determine effective reservoir thickness.[28]

Corrosion well logging

[edit]

Throughout the life of the wells, integrity controles of the steel and cemented column (casing and tubing) are performed using calipers and thickness gauges. These advanced technical methods use non destructive technologies as ultrasonic, electromagnetic and magnetic transducers.[29]

Logging while drilling

[edit]

In the 1970s, a new approach to wireline logging was introduced in the form of logging while drilling (LWD). This technique provides similar well information to conventional wireline logging but instead of sensors being lowered into the well at the end of wireline cable, the sensors are integrated into the drill string and the measurements are made in real-time, whilst the well is being drilled. This allows drilling engineers and geologists to quickly obtain information such as porosity, resistivity, hole direction and weight-on-bit and they can use this information to make immediate decisions about the future of the well and the direction of drilling.[30]

In LWD, measured data is transmitted to the surface in real time via pressure pulses in the well's mud fluid column. This mud telemetry method provides a bandwidth of less than 10 bits per second, although, as drilling through rock is a fairly slow process, data compression techniques mean that this is an ample bandwidth for real-time delivery of information. A higher sample rate of data is recorded into memory and retrieved when the drillstring is withdrawn at bit changes. High-definition downhole and subsurface information is available through networked or wired drillpipe that deliver memory quality data in real time.[31]

Memory log

[edit]

This method of data acquisition involves recording the sensor data into a down hole memory, rather than transmitting "Real Time" to surface. There are some advantages and disadvantages to this memory option.

  • The tools can be conveyed into wells where the trajectory is deviated or extended beyond the reach of conventional Electric Wireline cables. This can involve a combination of weight to strength ratio of the electric cable over this extended reach. In such cases the memory tools can be conveyed on Pipe or Coil Tubing.
  • The type of sensors are limited in comparison to those used on Electric Line, and tend to be focussed on the cased hole, production stage of the well. Although there are now developed some memory "Open Hole" compact formation evaluation tool combinations. These tools can be deployed and carried downhole concealed internally in drill pipe to protect them from damage while running in the hole, and then "Pumped" out the end at depth to initiate logging. Other basic open hole formation evaluation memory tools are available for use in "Commodity" markets on slickline to reduce costs and operating time.
  • In cased hole operation there is normally a "Slick Line" intervention unit. This uses a solid mechanical wire (0.072 - 0.125 inches in OD), to manipulate or otherwise carry out operations in the well bore completion system. Memory operations are often carried out on this Slickline conveyance in preference to mobilizing a full service Electric Wireline unit.
  • Since the results are not known until returned to surface, any realtime well dynamic changes cannot be monitored real time. This limits the ability to modify or change the well down hole production conditions accurately during the memory logging by changing the surface production rates. Something that is often done in Electric Line operations.
  • Failure during recording is not known until the memory tools are retrieved. This loss of data can be a major issue on large offshore (expensive) locations. On land locations (e.g. South Texas, US) where there is what is called a "Commodity" Oil service sector, where logging often is without the rig infrastructure. this is less problematic, and logs are often run again without issue.

Coring

[edit]
An example of a granite core

Coring is the process of obtaining an actual sample of a rock formation from the borehole. There are two main types of coring: 'full coring', in which a sample of rock is obtained using a specialised drill-bit as the borehole is first penetrating the formation and 'sidewall coring', in which multiple samples are obtained from the side of the borehole after it has penetrated through a formation. The main advantage of sidewall coring over full coring are that it is cheaper (drilling doesn't have to be stopped) and multiple samples can be easily acquired, with the main disadvantages being that there can be uncertainty in the depth at which the sample was acquired and the tool can fail to acquire the sample.[32][33]

Mudlogging

[edit]

Mud logs are well logs prepared by describing rock or soil cuttings brought to the surface by mud circulating in the borehole. In the oil industry they are usually prepared by a mud logging company contracted by the operating company. One parameter a typical mud log displays is the formation gas (gas units or ppm). "The gas recorder usually is scaled in terms of arbitrary gas units, which are defined differently by the various gas-detector manufactures. In practice, significance is placed only on relative changes in the gas concentrations detected."[34] The current oil industry standard mud log normally includes real-time drilling parameters such as rate of penetration (ROP), lithology, gas hydrocarbons, flow line temperature (temperature of the drilling fluid) and chlorides but may also include mud weight, estimated pore pressure and corrected d-exponent (corrected drilling exponent) for a pressure pack log. Other information that is normally notated on a mud log include directional data (deviation surveys), weight on bit, rotary speed, pump pressure, pump rate, viscosity, drill bit info, casing shoe depths, formation tops, mud pump info, to name just a few.

Information use

[edit]

In the oil industry, the well and mud logs are usually transferred in 'real time' to the operating company, which uses these logs to make operational decisions about the well, to correlate formation depths with surrounding wells, and to make interpretations about the quantity and quality of hydrocarbons present. Specialists involved in well log interpretation are called log analysts.

See also

[edit]

References

[edit]
[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Well logging is the practice of making a detailed record of the geologic formations penetrated by a , using downhole tools to measure physical, chemical, and mechanical properties of rock strata as a function of depth. These measurements, recorded as graphical logs, provide essential data on , , permeability, fluid content, and other characteristics without requiring direct sampling of the entire formation. The technique encompasses both geological logging, based on visual inspection of cuttings or cores, and geophysical logging, which employs instruments to quantify properties like resistivity, , and acoustic velocity. Developed in the , well logging originated in 1927 when brothers Conrad and Marcel introduced the first resistivity tool, tested in a well at Pechelbronn, , to detect hydrocarbon-bearing zones through electrical measurements of formation conductivity. Early methods relied on wireline tools lowered into the after drilling, but emerged in the 1980s, integrating sensors into the to acquire during penetration, which improves geosteering in complex wells and reduces operational risks. Common geophysical logs include gamma-ray for identification, neutron and for porosity estimation, and sonic for mechanical properties, often requiring corrections for conditions, , and fluids to ensure accuracy. In , well logging is fundamental for reservoir evaluation, enabling the identification of productive intervals, quantification of hydrocarbon saturation, and optimization of recovery strategies, potentially doubling oil recovery rates from 20-30% to 40-60% in mature fields by re-logging existing wells. Beyond oil and gas, it supports exploration by mapping fractures and temperature profiles, as well as and environmental assessments through borehole . Advances in nuclear and non-nuclear tools, such as neutron porosity logs using americium-beryllium sources or alternatives like deuterium-tritium accelerators, continue to enhance precision while addressing safety and compatibility challenges.

Overview

Definition and Principles

Well logging is the practice of measuring and recording the physical properties of subsurface geological formations penetrated by a using specialized downhole tools, producing continuous records known as well logs that plot these measurements against depth. This technique is primarily employed in oil and gas exploration to evaluate characteristics, but it also finds applications in for assessment and in groundwater studies to determine properties. The core principles of well logging rely on sensors within logging tools that detect variations in formation properties as the tool traverses the , enabling the inference of , fluid content, and without direct sampling. Key properties measured include electrical resistivity, which indicates fluid type and saturation; and response for estimation; acoustic , reflecting rock mechanical properties; and natural gamma , used to identify and lithologic changes. These measurements are obtained by deploying tool strings either via a wireline cable for post- logging or integrated into the for real-time acquisition during , ensuring data capture across vertical depths typically ranging from hundreds to thousands of meters. The basic workflow begins with tool deployment into the open or cased borehole, followed by activation of sensors to emit or detect signals—such as electromagnetic fields, gamma rays, neutrons, or acoustic waves—that interact with the surrounding formations. Data transmission occurs via electrical conductors in the wireline for immediate surface recording or through digital telemetry and mud-pulse systems in drilling-integrated setups, allowing for both real-time monitoring and post-retrieval analysis of stored logs. Measurements are standardized in units that facilitate interpretation, such as resistivity in ohm-meters (Ω·m), porosity in porosity units (p.u., where 1 p.u. equals 0.01 fraction) or as a decimal fraction (0 to 1), and gamma radiation in American Petroleum Institute (API) units, providing quantitative insights into formation scale and variability.

Historical Development

The development of well logging began in the with the pioneering work of and his brother Marcel, who founded the Société de Prospection Électrique in 1926 to apply electrical methods for subsurface exploration. Their efforts culminated in the first electrical resistivity well log, recorded on September 5, 1927, in the Merkwiller-Pechelbronn oil field in , , by Conrad's son-in-law Henri Doll and a team including Roger Jost and Charles Scheibli. This breakthrough used a sonde lowered into the on a cable to measure formation resistivity, marking the birth of electrical logging as a tool for identifying hydrocarbon-bearing layers without relying solely on core samples. In the 1930s and 1940s, well logging expanded rapidly with the introduction of and natural logs, driven by the need to evaluate formations through casing. The log, which detects natural radioactivity to distinguish lithologies, was first developed in the late 1930s and published in 1940, enabling logging in cased wells. porosity logging followed in the early 1940s, using neutron sources to assess formation porosity by measuring content. The 1950s saw the advent of , with early prototypes in the late 1940s evolving into reliable acoustic tools by the mid-1950s for porosity and mechanical property evaluation. Key figures like the and Doll continued to innovate, while post-World War II advancements in spurred further refinements in radioactive logging methods, including enhanced neutron tools by the early 1950s. By the 1970s, transformed well logging from analog traces to computerized , beginning in earnest around 1965 but becoming widespread by the decade's end for improved accuracy and interpretation. Prototypes for (LWD) emerged in the 1970s as extensions of measurement-while-drilling (MWD) systems, allowing acquisition during drilling operations. The technology spread globally beyond oil and gas, with adoption in non-petroleum sectors like by the 1980s, where logging techniques adapted from helped characterize hot rock reservoirs amid rising demands. Recent advancements up to 2025 have integrated for automated log interpretation, enhancing prediction of missing data and subsurface models from legacy logs. Fiber-optic sensing has enabled high-resolution, distributed measurements of and strain in real time, particularly for monitoring well integrity. These innovations extend to environmental applications, such as logging for sites, where fiber-optic systems detect CO2 leakage in injection wells.

Logging Techniques

Wireline Logging

Wireline logging deploys specialized tools, known as sondes, into the using an armored called wireline, which transmits power and data between the subsurface tools and surface equipment. The begins with assembling the tools on the rig floor, where they are connected to the wireline and lowered into open or cased boreholes via a system mounted on the surface. As the tool string is lowered, it measures formation properties, and data is recorded in real time by surface acquisition units that and display the signals sent up the cable. This method allows for controlled descent and ascent, enabling detailed evaluation after completion. Tool configurations in wireline logging vary from single-sonde deployments for targeted measurements to combinable sonde strings, where multiple tools—such as those for , resistivity, or —are interconnected to acquire comprehensive datasets in a single run. Depth correlation is maintained by monitoring cable tension during deployment or, in cased holes, using a casing collar locator (CCL) that detects joints in the casing for precise positioning. These configurations ensure accurate logging depths relative to the , minimizing errors in data interpretation. A primary advantage of wireline logging is the superior achieved through stationary measurements, where tools can be halted at specific depths for extended recording periods, providing higher resolution than continuous motion methods. This approach also facilitates repeated runs if needed, enhancing reliability in stable . However, limitations include vulnerability to borehole instability, such as collapses or swelling formations, which can trap tools and complicate retrieval, potentially leading to operational delays or stuck tool incidents. Modern enhancements have addressed challenges in complex well geometries, with electrically powered tractors enabling conveyance through highly deviated or horizontal sections where alone is insufficient. Real-time telemetry advancements use encoded digital signals over the wireline to transmit data instantaneously, allowing surface engineers to adjust operations dynamically without full tool retrieval. These improvements have extended wireline applicability to more challenging environments while maintaining data integrity. Safety and operational procedures for wireline logging emphasize rigorous rig-up protocols to manage high-pressure risks, including the installation of pressure control equipment like lubricators and wireline blowout preventer (BOP) rams above the wellhead. Field pressure tests—typically at low pressure (250-350 psi) and high pressure (20% above maximum anticipated surface pressure)—are conducted upon rig-up and after any reconnections, with charting required to verify integrity and prevent blowouts. Health, safety, and environment (HSE) considerations in high-pressure environments mandate multiple barriers, such as at least one set of wireline rams and a cutting device, along with adherence to standards like those from the Bureau of Safety and Environmental Enforcement (BSEE), ensuring personnel protection and well control during deployment. Wireline logging, traditionally performed post-drilling, has transitioned to complement logging while drilling (LWD) methods for acquiring data during active drilling phases.

Logging While Drilling

Logging While Drilling (LWD) is a technique for acquiring petrophysical data from subsurface formations in real time during the drilling process, integrating sensors directly into the bottom-hole assembly (BHA) of the drill string. Unlike traditional methods, LWD allows for continuous formation evaluation without interrupting drilling operations, enabling immediate adjustments to well trajectory or parameters based on incoming data. This integration distinguishes LWD from Measurement While Drilling (MWD), where MWD focuses on directional and mechanical parameters like inclination and torque, while LWD emphasizes geological logging data such as resistivity and porosity. Key components of LWD systems include sensors embedded in the drill collars or specialized subs within the BHA, powered by either batteries for reliability in varied conditions or mud-driven turbines that generate from the circulating flow. Data is stored in downhole memory modules, typically erasable programmable () chips, which record high-resolution logs for later retrieval upon tripping out of the hole, providing detailed offline analysis that complements real-time transmissions. to the surface occurs via mud pulse systems, which encode data in pressure variations within the at rates of 1-10 bits per second, or electromagnetic methods that propagate low-frequency signals through the formation, achieving slightly higher rates but limited by depth and conductivity. Advanced systems employ wired , incorporating cables and inductive couplers along the string for transmission exceeding 1 megabit per second, though this requires specialized infrastructure. The primary advantages of LWD include enabling real-time decision-making to optimize drilling paths, detect formation changes early, and reduce overall rig time by minimizing trips for separate logging runs, potentially saving days in complex wells. However, challenges arise from the harsh downhole environment, including mechanical vibrations from that can interfere with accuracy and cause tool failures, as well as constraints on tool diameter and length due to integration within the limited BHA space. These issues necessitate robust designs with shock-absorbing features and vibration-resistant electronics to maintain . LWD evolved from early prototypes in the , with the first quantitative resistivity sensor introduced by in 1983, initially relying on basic mud telemetry for limited data channels. By the late , deployed the first commercial LWD tool in 1989, expanding to multiple measurements despite telemetry bottlenecks. The saw improvements in sensor and power efficiency, while the introduced electromagnetic alternatives to mud for better performance in high-angle wells. Into the , high-data-rate systems using wired have become viable for extended-reach , supporting dozens of simultaneous channels and integrating with advanced for proactive operations. Memory logging remains essential, as post-run data dumps offer higher resolution than real-time streams, often used to validate LWD results against wireline logs in a single sentence of complementary application.

Electrical and Resistivity Logs

Resistivity Logging

Resistivity logging is a fundamental well logging technique used to measure the electrical resistivity of subsurface formations, providing insights into rock lithology, porosity, and fluid saturation. Electrical resistivity, denoted as ρ and measured in ohm-meters (Ω·m), represents the opposition to the flow of electric current through a material and is the reciprocal of electrical conductivity. In geological formations, resistivity is primarily controlled by the ionic content of pore fluids, as rock matrices themselves are generally poor conductors unless mineralized. Water-saturated rocks exhibit low resistivity due to the conductive nature of electrolyte solutions, while the presence of non-conductive hydrocarbons increases resistivity significantly. This contrast enables the identification of potential hydrocarbon reservoirs. The quantitative relationship between formation resistivity and petrophysical properties is encapsulated in Archie's equation, a seminal empirical model developed by G.E. Archie in for clean formations saturated with water or hydrocarbons. The equation is expressed as ρ_t = a · φ^{-m} · S_w^{-n} · R_w, where ρ_t is the true formation resistivity, φ is , S_w is water saturation, R_w is the formation water resistivity (determined separately from logs, samples, or other methods), and a, m, n are empirical constants (typically a ≈ 1, m ≈ 2, n ≈ 2 for sandstones). This formulation links resistivity to the geometric distribution of pores (via φ and m), the fraction of conductive water (via S_w and n), and the water's inherent resistivity (R_w). The model assumes no clay conduction and applies best to water-wet formations with Archie-type electrolytes; modifications exist for shaly or complex formations. Measurements in resistivity logging are based on , where an electrical current is injected into the formation via on the logging tool, and the resulting is recorded by potential electrodes to compute resistivity using ρ = (V / I) · K, with K as a geometric factor dependent on electrode spacing and configuration. Early unfocused tools, such as normal and lateral devices, allow current to spread broadly, making them susceptible to fluid influences. In contrast, focused tools employ auxiliary currents or electrodes to concentrate the investigating current into a narrower beam to the , improving depth of investigation and reducing effects for more accurate formation readings. These measurements yield apparent resistivities that require environmental corrections. Interpretation of resistivity logs relies on the principle that high formation resistivity (Rt > 10–20 Ω·m, depending on ) often indicates presence, as or gas displaces conductive formation water, reducing S_w and elevating ρ per Archie's . Drilling complicates this by creating a near-borehole flushed zone (Rxo), where filtrate replaces native fluids, typically yielding lower resistivity if the filtrate is saline; deeper virgin zones preserve original fluid saturations for true Rt assessment. Multiple resistivity curves from varying investigation depths help delineate profiles and estimate movable hydrocarbons by comparing Rxo and Rt. Corrections are essential to account for environmental factors affecting measurements. Borehole rugosity—irregular wall surfaces from drilling—can distort current paths, particularly in unfocused tools, leading to underestimated resistivities; focused configurations and caliper-corrected charts mitigate this by normalizing for hole size and shape. Temperature variations significantly impact fluid conductivity, with resistivity increasing exponentially at lower temperatures; a common correction uses empirical exponential relations to standardize values to formation conditions. Applications of resistivity logging include primary hydrocarbon detection, where elevated Rt in porous intervals signals pay zones, and assessment of water salinity via derived R_w from Archie's inversion, aiding in formation evaluation and reservoir modeling. When integrated briefly with porosity data, it enables full saturation calculations, though electrical methods excel in fluid typing over volume estimation.

Induction and Laterolog Methods

Induction logging employs principles, utilizing a transmitter coil energized by to induce secondary currents in the surrounding formation, which are then detected by a receiver coil to measure conductivity without physical contact with the wall. This non-contact method is particularly suitable for boreholes filled with nonconductive fluids, such as oil-based muds or air, where electrode-based tools would fail due to poor electrical coupling. The depth of investigation is controlled by the spacing and arrangement of the coils, allowing for variable radial penetration into the formation, typically ranging from shallow to deep depending on the tool configuration. Laterolog methods, in contrast, rely on galvanic excitation through electrodes that inject a into the formation, with focusing electrodes used to concentrate the current flow and minimize borehole and shoulder bed effects. Introduced in the early , this approach provides accurate resistivity measurements in conductive borehole environments, such as those with saline water-based muds, where induction tools may suffer from reduced signal strength. The dual-laterolog variant combines a deep-reading mode (LLD) for unin invaded formation assessment and a shallow-reading mode (LLS) for detecting profiles, with automatic focusing systems enhancing resolution in thin beds and correcting for shoulder effects. Comparisons between the two methods highlight their complementary applications: induction logging excels in low-resistivity formations and fresh mud conditions but is sensitive to magnetic materials that can distort electromagnetic fields, while laterolog offers superior vertical resolution in thin beds and is less affected by irregularities like spiraling or eccentering. In high-salinity water-based muds, multi-laterolog tools maintain reliability for high-resistivity zones, whereas induction tools require environmental corrections to mitigate and eccentering effects. Advanced tool examples include the array induction tool, which uses multiple coil arrays to generate multi-depth conductivity profiles for inversion to true resistivity, improving thin-bed resolution and profiling without contact. Similarly, array laterolog configurations employ multiple s to produce a suite of apparent resistivity curves at varying depths of investigation, enhancing borehole condition adaptability and shoulder bed corrections in saline environments. Limitations for both include the need for eccentering corrections in deviated wells, with induction tools particularly vulnerable to magnetic interference and laterologs to low-conductivity muds that hinder current focusing.

Porosity and Density Logs

Density Logging

Density logging is a nuclear technique used in well logging to measure the of subsurface formations by exploiting the of gamma rays. The method employs a cesium-137 (Cs-137) radioactive source that emits gamma rays with an energy of 0.662 MeV, which interact primarily with in the formation through , where gamma rays are scattered and lose energy proportional to the encountered. Detectors in the tool count the backscattered gamma rays in the Compton energy range (typically above 200 keV), with higher count rates indicating lower and thus lower , while lower count rates correspond to higher ; the is then calibrated to assuming an electron density-to- ratio of approximately 1 for most minerals. Modern density logging tools feature a dual-detector for environmental compensation, consisting of a short-spaced detector (typically 8-10 inches from the source) sensitive to near- effects and a long-spaced detector (15-20 inches away) that probes deeper into the formation. This configuration enables the computation of a compensated by subtracting the effects of borehole irregularities from the long-spaced measurement, improving accuracy in rugose holes. The ρb\rho_b is related to ϕ\phi by the equation: ρb=(1ϕ)ρg+ϕρf\rho_b = (1 - \phi) \rho_g + \phi \rho_f where ρg\rho_g is the grain (matrix) density and ρf\rho_f is the fluid density, allowing porosity to be derived as ϕ=ρgρbρgρf\phi = \frac{\rho_g - \rho_b}{\rho_g - \rho_f} when ρg\rho_g and ρf\rho_f are known or assumed (e.g., ρg=2.65\rho_g = 2.65 g/cm³ for quartz sandstone and ρf=1.0\rho_f = 1.0 g/cm³ for water). Corrections are essential for accurate measurements, particularly for mud cake effects, where a thick, low- mud cake on the wall can bias the short-spaced detector; dual-detector tools apply a spine-and-ribs correction chart to adjust for this, restoring the log to true formation . size corrections are also applied for enlarged holes greater than 10 inches, as larger diameters reduce efficiency and require empirical adjustments. Additionally, the photoelectric factor (PEF), measured by low-energy gamma absorption (below 0.5 MeV), provides information, with values around 3-4 for sandstones, 5-6 for limestones, and higher for shales or , aiding in matrix selection for calculations. In applications, density logging is primarily used to compute in clean, non-shaly formations where is uniform, providing a direct measure of formation compactness. It also facilitates gas detection, as gas-filled pores result in anomalously low bulk densities compared to - or oil-saturated equivalents, often manifesting as a density-neutron crossover on composite logs.

Neutron Porosity Logging

Neutron porosity logging is a nuclear technique used to estimate formation by measuring the index, which serves as a proxy for pore content in subsurface rocks. The method relies on the interaction of neutrons with atoms, which are abundant in and hydrocarbons filling the pores. High-energy neutrons emitted from the tool slow down primarily through elastic collisions with nuclei due to their similar , leading to ization; the resulting or epithermal is detected and correlated to . This approach provides a direct estimate of total , including contributions from free and bound fluids, but requires corrections for and environmental factors to yield accurate results. The core physics involves a , typically a chemical isotopic source such as americium-beryllium (Am-Be), which emits fast s with energies around 4-5 MeV. Recent alternatives include electronic generators, such as deuterium-tritium accelerators, which avoid isotopic materials while maintaining precision (as of 2025). These s penetrate the formation and undergo , losing through repeated collisions; atoms are the most effective moderators because their length is short compared to other elements like or oxygen in the rock matrix. Detectors, usually (He-3) scintillators or proportional counters, are positioned at fixed distances from the source to count thermal s (around 0.025 eV) or epithermal s (0.1-100 eV), with the count rate inversely related to the slowing-down length influenced by concentration. Porosity is estimated by calibrating the detected count rate to known standards, often using a linear scaling model expressed as ϕN=NmaxNcountNmaxNmin\phi_N = \frac{N_{\max} - N_{\text{count}}}{N_{\max} - N_{\min}}, where ϕN\phi_N is the neutron-derived , NcountN_{\text{count}} is the observed count rate, NmaxN_{\max} is the count in a zero- matrix, and NminN_{\min} is the count in a water-filled standard. This scaling is lithology-dependent, with separate calibrations for , , and dolomite to account for matrix content and slowing-down properties; for example, dolomite yields lower apparent porosities than for the same true due to its higher matrix and lower index. Environmental effects significantly influence measurements. Clay-bound water in shales overestimates porosity because bound hydrogen increases the apparent hydrogen index, often reading 20-40 porosity units higher than true values. Gas zones cause underestimation due to low hydrogen density in gaseous hydrocarbons, resulting in lower neutron counts and apparent porosities as low as 10-20 units below actual values. Additionally, the thermal neutron capture cross-section (Σ\Sigma) of shale minerals, particularly elements like boron or gadolinium, absorbs thermal neutrons, reducing detector counts and further inflating apparent porosity readings. Tool designs mitigate some environmental sensitivities. The compensated neutron log (CNL) employs two detectors—a near and a far one—to form a ratio that compensates for , invasion, and source strength variations, improving depth of investigation to about 8-10 inches. Sidewall neutron porosity (SNP) tools feature a pad-mounted source and detector pressed against the wall for better formation signal and reduced cake effects, while centralized or pad-less designs are used in logging-while-drilling applications for real-time data. Corrections are essential for accuracy, particularly for borehole salinity, where high chloride content in mud increases neutron absorption by chlorine, decreasing count rates and overestimating porosity by up to 5-10 units; charts or empirical models adjust for mud salinity and formation water salinity. Temperature corrections account for reduced neutron output and altered diffusion lengths at high downhole temperatures (up to 175°C), typically applying a factor to normalize counts to standard conditions. These adjustments, often combined with density logs for lithology-independent porosity, enhance reliability in complex environments.

Acoustic and Sonic Logs

Sonic Logging

Sonic logging, also known as acoustic logging, is a wireline or logging-while-drilling technique that measures the travel times of through subsurface formations to determine compressional (P-wave) and shear (S-wave) velocities. These velocities provide insights into rock properties such as , , and mechanical strength, with slowness (Δt, the reciprocal of velocity) serving as the primary logged parameter. The method relies on generating acoustic pulses that propagate through the fluid, wall, and formation, allowing differentiation of wave arrivals to isolate formation-specific signals. The core principle involves recording P-wave and S-wave velocities, where P-waves represent compressional motion and S-waves represent shear motion orthogonal to propagation. A foundational equation for estimation is the Wyllie time-average model, which assumes a linear relationship between slowness and : Δt=ϕΔtf+(1ϕ)Δtma\Delta t = \phi \Delta t_f + (1 - \phi) \Delta t_{ma} where Δt\Delta t is the formation slowness, ϕ\phi is , Δtf\Delta t_f is fluid slowness, and Δtma\Delta t_{ma} is matrix slowness. This empirical relation, developed for consolidated formations like limestones, enables calculation by rearranging for ϕ\phi, though it requires empirical adjustments for unconsolidated rocks or variable . Wave excitation typically uses a monopole source to generate both P- and S-waves in competent formations, while a source is employed for reliable S-wave detection in soft or slow formations where shear waves attenuate rapidly. Applications of sonic logging extend to porosity derivation via velocity-porosity transforms beyond Wyllie, such as those calibrated for specific lithologies. It also informs rock mechanical properties, including uniaxial compressive strength (UCS), often correlated empirically with increasing P-wave velocity. In seismic integration, sonic-derived velocities support amplitude variation with offset (AVO) analysis by providing well-tie data for velocity models and anisotropy assessment, enhancing reservoir characterization. Modern sonic tools feature array configurations with multiple transmitters and receivers (typically 4–8 receivers spaced 0.15–0.5 m apart) to capture full waveforms, enabling advanced processing like semblance-based slowness-time coherence for velocity picking and spectral analysis for attenuation measurement. Recent advancements as of 2025 include machine learning models for predicting compressional sonic logs from other well data, improving accuracy in heterogeneous reservoirs and aiding real-time decision-making. Attenuation quantifies energy loss due to formation absorption or scattering, aiding in fracture detection or fluid identification. Corrections are essential for dispersion, where wave speed varies with frequency due to borehole effects, and for isolating borehole modes (e.g., Stoneley waves) that can contaminate formation signals; these are addressed via low-frequency filtering or multipole inversion.

Spectral Acoustic Logging

Spectral acoustic logging extends traditional by analyzing the frequency-dependent behavior of to provide insights into formation properties beyond basic velocities. This technique focuses on dispersive waves, such as Stoneley waves and pseudo-Rayleigh waves, which propagate along the borehole-formation interface and exhibit slowness variations with frequency due to interactions with porous media. Stoneley waves, generated by monopole sources, are particularly sensitive to formation permeability because they induce flow in the surrounding rock, leading to attenuation and dispersion governed by Biot's theory of poroelasticity. Pseudo-Rayleigh waves, often observed in multipole excitations, contribute additional dispersion information, especially in fast formations where they mimic Rayleigh surface waves but are modified by the borehole . Slowness-frequency plots, derived from waveform processing, visualize these effects, showing how wave slowness increases at lower frequencies in permeable zones as pressure gradients drive seepage. Under Biot theory, the dynamic permeability k(ω)k(\omega) accounts for frequency-dependent fluid flow, where the dispersion slope α\alpha (change in slowness per logarithmic frequency interval) relates to permeability through k=f(α,η,ω)k = f(\alpha, \eta, \omega), with η\eta as fluid and ω\omega as ; at low frequencies, higher permeability amplifies dispersion as viscous forces dominate seepage. This relationship stems from the theory's prediction that Stoneley wave attenuation and slowness increase with permeability, enabling quantitative estimates when combined with radius and data. Tools for spectral acoustic logging typically employ or multipole sources to excite shear and interface waves, with receiver arrays capturing full waveforms for processing; for instance, the Shear Sonic Imager uses excitation (1-8 kHz) to generate dispersive modes, allowing separation of coherent (propagating) and incoherent (scattered) energy via techniques like phase-matching or model-based inversion. Applications of spectral acoustic logging include fracture detection, where increased Stoneley attenuation indicates open fractures enhancing permeability, and assessment of near-wellbore damage from drilling fluids, revealed by radial variations in dispersion curves. Fluid typing is achieved through Stoneley wave attenuation analysis, as gas or viscous oils alter wave damping differently from water, aiding in identifying fluid invasion or mobility behind casing. In fractured carbonates, for example, dispersion slopes have been used to map permeability contrasts, supporting reservoir simulation and completion design. Despite its utility, spectral acoustic logging has limitations, including poor resolution for low-permeability formations below 1 md, where dispersion effects are minimal and overshadowed by elastic wave contributions. effects, such as eccentricity, mudcake buildup, or tool decentralization, can distort waveforms, requiring corrections based on caliper logs or modeling to avoid erroneous permeability overestimation. Integration with is essential for validation, as laboratory-measured permeabilities on plugs calibrate log-derived estimates, improving accuracy in heterogeneous reservoirs by confirming dispersion-based predictions against direct flow tests.

Lithology and Gamma Ray Logs

Gamma Ray Logging

Gamma ray logging measures the natural gamma radiation emitted by formations in a borehole, primarily from the of isotopes such as (K-40), (U-238), and (Th-232). These isotopes occur in varying concentrations within rock minerals, with shales and clays typically exhibiting higher radioactivity due to the presence of potassium-bearing minerals like micas and feldspars, as well as thorium and associated with heavy minerals. The logging tool detects gamma rays, which have sufficient energy to penetrate borehole fluids and casing, allowing measurements in both open and cased holes. This passive method provides a continuous record of radioactivity levels as a function of depth, serving as a key indicator of without requiring an active radiation source. The primary tool for is a scintillation detector, most often using a (NaI) crystal doped with to convert energy into visible light flashes, which are then amplified and counted electronically. Tools are available in slim-hole designs (typically 1-1/8 to 2-3/4 inches in diameter) for small-diameter or deviated wells, and pad-type configurations for larger wells where the detector is pressed against the borehole wall to minimize mud cake effects and improve resolution. to () units is standardized using a test pit at the , where the high-activity zone is defined as 200 units, equivalent to the difference in count rates between radioactive and low-activity sections, ensuring comparability across service providers. Spectral variants resolve the total count into contributions from (in percent), U (in parts per million, ppm), and Th (in ppm), enabling more detailed mineralogical analysis. In interpretation, total gamma ray readings are low (typically 20-50 API) in clean sands and carbonates due to minimal radioactive content, while shales show high values (often >100 API) from elevated K, Th, and U concentrations, allowing differentiation of permeable reservoir rocks from impermeable shales. Spectral analysis refines this by identifying specific mineralogies; for example, high (K >3%) indicates or , elevated (Th >10 ppm) suggests heavy mineral enrichment in shales, and (U >5 ppm) may signal organic-rich zones or disequilibrium in the decay series. However, anomalies like radioactive sands (e.g., glauconitic or micaceous) require integration with other logs for accurate . Corrections are applied for environmental effects, including by steel casing (which reduces counts by 20-50% depending on thickness, necessitating multiplicative factors) and borehole compaction, which alters formation density and thus apparent radioactivity. Applications of include stratigraphic zonation to define layers, well-to-well correlation using characteristic deflection patterns for depth matching across fields, and net pay estimation by identifying clean sand intervals below a baseline (e.g., V_shale = (GR_log - GR_min)/(GR_max - GR_min)). These uses facilitate quick-look formation evaluation, depth control during , and integration with for paleoenvironmental reconstruction, with data enhancing mineralogical zonation in complex sequences.

Spontaneous Potential Logging

Spontaneous potential (SP) logging measures naturally occurring electrical potentials that arise at the interface between borehole fluids and surrounding formations, primarily due to electrochemical processes. These potentials develop when there is a contrast in concentrations between the drilling mud and the formation , creating a , and when act as semi-permeable that selectively allow the passage of negatively charged while restricting positively charged ones, generating a . The baseline represents the potential in impermeable where the membrane effect dominates and equalizes the potential across the boundary, while deflections occur in permeable formations where the liquid junction potential can manifest. The magnitude of the SP deflection is expressed by the formula SP = -K log(R_mf / R_w), where SP is the potential in millivolts, K is a temperature-dependent constant approximately equal to 60 + 0.133T (with T in °F), R_mf is the resistivity of the mud filtrate, and R_w is the resistivity of the formation at formation . In interpretation, the SP log shows a baseline in and deflections toward the positive or negative side in permeable beds, such as sands, depending on the contrast: a positive deflection occurs when the borehole fluid is more saline than the formation (R_mf < R_w), while a negative deflection results from fresher mud filtrate (R_mf > R_w). The of the deflection provides a qualitative measure of the difference and indicates the presence of permeable layers against the baseline, with larger amplitudes corresponding to greater contrasts. Thin beds or shaly sands may show reduced or suppressed deflections due to incomplete potential development. For correlation with other logs, the SP baseline can be aligned with excursions in shales, aiding in consistent identification across wells. SP logging serves as a rapid tool for lithology identification, distinguishing permeable reservoir rocks like clean sands from shales, and acts as an indicator of relative permeability by highlighting beds where fluids can flow freely. It enables calculation of formation water resistivity (R_w) from the static SP amplitude using the aforementioned formula rearranged as R_w = R_mf * 10^(-SP / K), which is essential for subsequent petrophysical evaluations such as water saturation estimates. In practice, it supports quick screening during drilling operations to guide decisions on coring or testing permeable zones. The SP tool consists of a simple mounted on a sonde that contacts the fluid, connected to a at the surface or in the mud, requiring conductive drilling mud (typically saline) for effective measurement; the log is recorded in millivolts as the tool is lowered through open s. Limitations include ineffectiveness in cased wells due to electrical isolation, minimal response in low-salinity formations or where and formation fluids have similar chemistries (low contrast), and susceptibility to noise from stray currents or thin beds less than about 2 feet thick, reducing resolution in complex lithologies.

Specialized and Imaging Logs

Nuclear Magnetic Resonance Logging

(NMR) logging measures the relaxation properties of hydrogen nuclei in formation to evaluate , permeability, and characteristics without direct dependence. The technique relies on T1, the longitudinal relaxation time for recovery, and T2, the transverse relaxation time for signal decay, which are influenced by bulk properties, surface interactions, and . T1 typically recovers to 63% of equilibrium in time T1 and 95% in 3T1, while T2 decays due to components including bulk relaxation, surface effects from grain interactions, and in magnetic gradients. These times provide insights into pore sizes and mobility, as shorter T2 values indicate bound fluids near grain surfaces and longer T2 values suggest free fluids in larger pores. NMR logging tools employ permanent magnets to create a static magnetic field (typically around 176 gauss) that aligns hydrogen protons, followed by radiofrequency (RF) pulses to tip and refocus the magnetization. The Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence generates a train of spin echoes by applying a 90-degree excitation pulse and subsequent 180-degree refocusing pulses, minimizing field inhomogeneities and capturing the T2 decay envelope. Tools are often designed as pad or sidewall devices for sidewall contact, operating at multiple frequencies (e.g., nine frequencies in the MRIL-Prime tool) to probe cylindrical volumes 14-16 inches in diameter around the borehole. Porosity is calculated from the initial amplitude (M0) of the echo train, normalized to a water-filled calibration: ϕ=M0Mw\phi = \frac{M_0}{M_w}, where MwM_w is the signal from fully saturated water; total porosity uses echo spacing (TE) of 0.6 ms, while effective porosity uses 1.2 ms to exclude very fast-relaxing components. This direct hydrogen-based measurement is calibrated against porosity from density or neutron logs for accuracy in complex formations. Permeability estimation leverages the Timur-Coates model, a widely adopted empirical relation derived from : k=(ϕC)2(FFIBVI)2k = \left( \frac{\phi}{C} \right)^2 \left( \frac{\text{FFI}}{\text{BVI}} \right)^2, where kk is permeability in millidarcies, CC is a formation-specific constant (often 10 for sandstones), ϕ\phi is effective , FFI is the free fluid index (fraction of movable fluid, calculated as FFI=ϕBVI\text{FFI} = \phi - \text{BVI} with BVI as bound volume irreducible), and the model emphasizes pore connectivity through the FFI/BVI ratio. FFI is determined by integrating T2 amplitudes above a (e.g., 33 ms for sandstones), separating free fluids in large pores from bound fluids below the . Applications include differentiating bound versus free fluids for producible volume assessment, as bound fluids (clay- or capillary-bound) relax faster due to surface interactions, while free fluids exhibit longer T2. is inferred from diffusion coefficients (D) using dual echo spacing or gradient methods, where heavier oils show lower D and shorter T2; unlike empirical tools, NMR is insensitive to clay effects, measuring only hydrogen-bearing fluids without matrix correction. Challenges in NMR logging include low signal-to-noise ratio (SNR) in compact or slimhole tools, which limits resolution in low-porosity formations, and extended polarization times (TW ≈ 3T1, often 3-12 seconds) to achieve full recovery, constraining logging speeds to 700-1440 ft/hr. Recent advances incorporate multidimensional NMR, such as 2D -T2 (D-T2) maps and 3D T1-T2-D volumes, to resolve multi- compositions by exploiting contrasts in relaxation and (e.g., gas has high D and long T1/T2, oils have intermediate values). These enable precise fluid typing in oil-based environments, quantifying saturations and viscosities continuously, as demonstrated in low-resistivity pay zones and carbonates. Seminal work includes -editing sequences for enhanced separation of , , and gas.

Borehole Imaging

Borehole imaging in well logging involves the use of specialized tools to generate high-resolution, oriented images of the borehole wall, enabling the visualization of geological features such as fractures, bedding planes, and sedimentary structures that are not resolvable by conventional logs. These images provide critical data for understanding formation dip, structural deformation, and reservoir heterogeneity, advancing from early dipmeter tools to modern micro-imaging systems. The technology has evolved rapidly, with applications spanning reservoir characterization and geomechanical analysis in oil and gas exploration. Electrical imaging tools, such as the Formation MicroScanner (FMS) or Formation MicroImager (FMI), employ pads equipped with multiple small electrodes to measure micro-resistivity contrasts between the wall and formation fluids. These tools typically feature four or six articulated pads that press against the wall, providing azimuthal coverage through button-like electrodes that detect variations in electrical conductivity. In logging-while-drilling (LWD) variants, resistivity integrates laterolog principles with high-resolution sensors for real-time data in deviated wells. Acoustic borehole imaging, often implemented via borehole televiewer tools, utilizes ultrasonic transducers to emit pulses and capture reflected echoes from the borehole wall, generating images based on amplitude or travel-time measurements. These mandrel-based systems, operating at frequencies like 250-500 kHz, provide quantitative on wall reflectivity, which correlates with rock properties such as density and . The rotating scans azimuthally, offering 100% coverage even in challenging mud environments, with low sensitivity to tool eccentering. The core principle of both electrical and acoustic relies on azimuthal scanning to map the circumference, where resistivity contrasts or echo amplitudes are converted into or color images highlighting geological features. Electrical images emphasize conductive/resistive boundaries, while acoustic images reflect and . Tools achieve near-360° coverage through multi-pad or rotating designs, with data magnetically oriented for accurate in-situ representation. Key applications include calculating bed dip and strike azimuth from image patterns, determining fracture orientation, , and for reservoir connectivity assessment, and analyzing sedimentological features like cross-bedding and lithofacies to infer depositional environments. In fractured , acoustic images particularly aid in evaluating and to predict fluid flow units, while electrical images support stress orientation via borehole breakouts. These capabilities enhance stratigraphic and geomechanical modeling without requiring core samples. Typical resolution for electrical reaches approximately 0.2 inches vertically and 0.1-0.5 inches azimuthally, depending on spacing and formation contrast, with acoustic tools offering higher vertical resolution of approximately 1-2 mm (0.04-0.08 inches) and full circumferential coverage. LWD resistivity imagers may achieve 0.5-1 inch resolution in high-angle wells, sufficient for thin-bed detection. This high fidelity allows delineation of features as small as millimeters, far surpassing standard logging tools. Image involves unwrapping the cylindrical into a 2D static or dynamic display, where static images preserve raw and dynamic ones apply normalization for contrast enhancement across depth intervals. Features like sinusoidal bed patterns are analyzed using automated dip-picking algorithms to generate or star plots, which plot dip angle against for structural interpretation. For acoustic , includes time-frequency and eccentering corrections to ensure accurate geometry and reflectivity mapping.

Corrosion and Caliper Logging

Caliper logging measures the diameter and shape of a using tools equipped with extendable mechanical arms that contact the borehole . These arms, typically tensioned, provide continuous recordings of borehole size along its depth, identifying variations such as enlargements or constrictions. Ultrasonic caliper tools complement mechanical ones by emitting acoustic pulses to measure distances to the borehole , offering higher resolution in fluid-filled environments. Multi-arm configurations, with 3 or 4 arms oriented perpendicularly, detect eccentricity and ovality by recording diameters in multiple directions simultaneously. Such logs reveal borehole irregularities, including washouts—enlarged sections caused by erosion or formation instability—and breakouts, which are spalling features resulting from stress concentrations around the . In open boreholes, these measurements help assess hole stability and formation properties, while in cased sections, they evaluate tubing or casing dimensions. Corrosion logging assesses casing and tubing integrity by detecting metal loss from chemical or mechanical degradation in oil and gas wells. Magnetic flux leakage (MFL) techniques induce a magnetic field in the casing; anomalies in the leaked flux indicate corrosion defects like pitting or general thinning. Ultrasonic methods measure wall thickness by sending high-frequency sound waves through the casing and analyzing echo times from internal and external surfaces. Electromagnetic (EM) induction tools, including pulsed eddy current variants, detect pitting by evaluating changes in induced currents, which vary with metal thickness and can penetrate multiple casing strings to identify both internal and external corrosion. Basic tool strings often incorporate dual-caliper devices with two opposing mechanical arms for routine , integrated into wireline or logging-while-drilling assemblies. Advanced corrosion evaluation employs EM tools capable of multi-barrier inspection, such as those using coils to internal pitting and external metal loss across concentric casings up to 26 inches in outer . These logs support critical applications in well management. Caliper data corrects for tool decentralization or eccentricity in other logging measurements, ensuring accurate environmental corrections for resistivity or tools. In production wells, and caliper logs quantify casing wear from or production operations, with metal loss calculated as the deviation from nominal inner . Borehole shape from multi-arm enables stress analysis, as breakout orientations indicate principal stress directions, aiding geomechanical modeling. For imaging applications, caliper provides essential geometry input to calibrate surface visualizations. Data from these tools yield continuous depth profiles of borehole diameter or casing thickness, typically at resolutions of 100 samples per foot. Ovality is computed from perpendicular arm measurements as (maximum diameter - minimum diameter) / average diameter, highlighting deformations from stress or . Such profiles facilitate volume calculations for cementing and identify integrity risks for preventive maintenance.

Auxiliary Data Acquisition

Mud Logging

Mud logging is a surface-based technique in well drilling that involves the real-time examination of drilling mud and associated materials returned to the surface to provide geological insights, detect hydrocarbons, and monitor drilling safety. The process begins with the circulation of drilling mud, which is pumped down the , through the bit, and back up the annulus, carrying rock cuttings and formation fluids to the surface. At the shale shaker, cuttings are separated from the mud for analysis, while mud samples are collected for gas extraction and evaluation. This enables the creation of a detailed well log recording , potential zones, and operational parameters. Key measurements in mud logging include gas detection, where total gas levels are quantified using flame ionization detectors (FID) capable of sensing concentrations as low as 5 ppm, and (GC) identifies individual components such as (C1) through (C5). Cuttings are described microscopically for , including composition, grain size, color, and , with shows assessed via under light—categorized by intensity (dull to bright) and color (yellow to white)—and visual indicators like staining or odor. Additional parameters tracked include rate of penetration (ROP), measured via drawworks sensors to infer formation hardness, and pit volume levels, which signal influxes or kicks when increases indicate formation fluid entry into the wellbore. Applications of mud logging extend to geosteering, where real-time and gas data guide to optimize contact, and hazard detection, such as identifying (H2S) via specialized sensors or thermal conductivity detectors due to its toxicity and corrosiveness, and abnormal pressures through ROP anomalies or gas spikes suggesting overpressured zones. further reveals formation gas composition, aiding in fluid typing and connectivity assessment. Equipment typically includes degassers to liberate entrained gases from mud, mass spectrometers for precise isotopic and molecular analysis, and integrated systems for 24/7 monitoring by on-site geologists. These tools operate continuously, often in a dedicated unit, to ensure timely alerts. Despite its value, mud logging has limitations, including lag time—the delay for cuttings and mud to reach the surface—which can range from minutes in shallow sections to several hours in deep wells exceeding 10,000 feet, potentially delaying real-time decisions. Data is often qualitative, relying on visual and sensory interpretations of cuttings and shows, rather than fully quantitative like downhole logs, though advanced techniques like automated spectrometry are improving precision. Mud logging data integrates briefly with logging-while-drilling (LWD) tools for confirmation of subsurface findings.

Coring Methods

Coring serves as a direct sampling technique in well logging, enabling the extraction of intact rock samples from subsurface formations for detailed laboratory analysis. Unlike indirect logging methods, coring provides physical specimens that allow precise measurement of rock properties under controlled conditions, essential for validating log-derived interpretations. This process involves specialized drilling tools to retrieve cylindrical core samples, typically ranging from 1.75 to 5.25 inches in diameter and up to 30 feet in length per run. Conventional coring, the most common type, employs a hollow drill bit attached to a core barrel assembly lowered via the to capture continuous sections of the formation. For formations, diamond-impregnated bits are used to maintain during penetration, achieving core diameters of 4.45 to 13.34 cm in increments up to 9 m. Sidewall coring, performed after via wireline tools, extracts smaller plugs from the borehole wall; percussion sidewall coring propels bullet-shaped barrels (1.75 to 2.54 cm , 2.86 to 4.45 cm long) using explosives, while rotary sidewall coring utilizes diamond-tipped bits for larger samples up to 6.4 cm long and 3.8 cm . These methods complement each other, with conventional coring preferred for comprehensive sampling and sidewall for targeted zones. The coring process begins with to the target depth, followed by retrieval of the core barrel, which may require a full trip of the for conventional methods or wireline for sidewall operations. Orientation is achieved using scribe lines or knives on the core barrel to mark the in-situ position, often supplemented by non-magnetic collars and gyroscopic tools for accurate geological alignment. Preservation is critical to minimize alteration; cores are immediately sealed in plastic wrapping, stabilized with wax or , or preserved under or to prevent fluid loss and oxidation, with pressure-retained systems maintaining up to 10,000 psi for in-situ conditions. Applications of coring focus on petrophysical laboratory testing, where samples undergo measurements of via methods like or liquid saturation, permeability through steady-state axial flow or pulse-decay techniques, and via . Fluid content analysis, including oil, water, and gas saturations, employs extraction or sponge-lined coring to capture representative volumes without significant . These data provide ground-truth for properties, such as effective and directional permeability variations. Challenges in coring include core disturbance from mechanical or mud filtrate invasion, which can alter and permeability by up to 50% in sensitive formations. Recovery is particularly low in unconsolidated sands, where full-closure catchers and rubber-sleeve barrels are employed to achieve rates above 90%, though jamming remains a . Slim-hole coring, used in exploratory wells with hole sizes of 4.125 to 4.75 inches, limits sample volume and requires for efficiency, complicating retrieval in deviated boreholes. Integration of with well logs involves depth shifting to align samples with or resistivity measurements, calibrating log responses for improved accuracy in formation evaluation; for instance, core-derived refines neutron-density log interpretations by accounting for lithological variations.

Applications and Data Interpretation

Formation Evaluation

Formation evaluation involves the integration of well log measurements to derive fundamental petrophysical properties of subsurface formations, including , , and fluid saturation. This process is essential for identifying potential hydrocarbon-bearing zones and assessing their viability during the initial stages of reservoir assessment. By combining data from multiple logging tools, such as , , , and resistivity logs, petrophysicists can quantify formation characteristics that inform and completion decisions. The workflow emphasizes systematic analysis to minimize interpretive errors, relying on established empirical relationships and graphical techniques to interpret complex geological environments. A key step in the workflow is identification through cross-plot analysis, where (ρ_b) is plotted against neutron porosity (φ_N). This crossplot distinguishes between common rock types like , , and dolomite based on their matrix densities and index responses, with data points clustering along lithology-specific trends for - or oil-saturated formations. volume (V_sh) is then calculated to quantify clay content, which affects other properties; the linear method uses the log via the formula Vsh=GRGRminGRmaxGRminV_{sh} = \frac{GR - GR_{min}}{GR_{max} - GR_{min}}, where GR is the recorded value, GR_min is the clean sand baseline, and GR_max is the pure response. This approach provides a first-order estimate of shaliness, essential for correcting subsequent calculations in shaly sands. Total (φ) is derived by averaging density-derived and neutron-derived porosities for formations of moderate lithologic complexity, yielding a lithology-independent estimate: ϕ=ϕD+ϕN2\phi = \frac{\phi_D + \phi_N}{2}, where φ_D is from the log and φ_N from the log, adjusted for environmental effects like . saturation (S_w) follows using Archie's for clean, water-wet sands: Sw=aRwϕmRtS_w = \sqrt{\frac{a \cdot R_w}{\phi^m \cdot R_t}}
Add your contribution
Related Hubs
User Avatar
No comments yet.