CN108661632B - High-precision carbon-oxygen ratio logging method - Google Patents

High-precision carbon-oxygen ratio logging method Download PDF

Info

Publication number
CN108661632B
CN108661632B CN201810428514.5A CN201810428514A CN108661632B CN 108661632 B CN108661632 B CN 108661632B CN 201810428514 A CN201810428514 A CN 201810428514A CN 108661632 B CN108661632 B CN 108661632B
Authority
CN
China
Prior art keywords
logging
sandstone
oxygen ratio
energy spectrum
spectrum
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201810428514.5A
Other languages
Chinese (zh)
Other versions
CN108661632A (en
Inventor
何巍巍
孙亮
邓茜珊
郑华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201810428514.5A priority Critical patent/CN108661632B/en
Publication of CN108661632A publication Critical patent/CN108661632A/en
Application granted granted Critical
Publication of CN108661632B publication Critical patent/CN108661632B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B47/00—Survey of boreholes or wells
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

Abstract

The invention discloses a high-precision carbon-oxygen ratio well logging method, which comprises the following steps: step S1, simulating the gamma flow energy spectrum numerical value; step S2, determining a response function of the detector; step S3, processing numerical simulation data; s4, extracting logging parameters; step S5, establishing a C/O explanation model; and step S6, calculating the oil saturation based on the established C/O interpretation model. The high-precision carbon-oxygen ratio well logging method can obviously improve the well logging coincidence rate, and a large number of experiments prove that the method can effectively avoid the influence of stratum gray matter components on C/O interpretation and can improve the well logging coincidence rate to over 90 percent.

Description

High-precision carbon-oxygen ratio logging method
Technical Field
The invention belongs to the field of geological exploration, and particularly relates to a logging method for an oil well and a gas well, a carbon-oxygen ratio logging method and processing of logging data.
Background
Carbon-oxygen ratio (C/O) logging is used as an important oil field development monitoring means, can directly determine production zone parameters, residual oil saturation distribution, flooding degree and the like in a cased well, is an important support technology for oil field stable production, and is widely applied to various oil fields at present.
For example, chinese patent application 200710018164.7 discloses a "pulsed neutron bispectral saturation logging method", which includes the following steps: 1. collecting logging data; 2. performing depth-time two-dimensional filtering on the thermal neutron time spectrum and the capture gamma time spectrum, and performing depth-energy two-dimensional filtering on the capture gamma energy spectrum and the natural gamma energy spectrum; 3. carrying out normalization processing on the filtered data; 4. carrying out multi-scale decomposition on the data after the normalization processing; 5. reconstructing and fusing the decomposed data; 6. displaying the logging image and the logging curve, and 7, performing geological interpretation; the method has the advantages that the thermal neutron time spectrum and the capture gamma time spectrum can be simultaneously acquired under the same environment when the well is lowered once, so that the advantages of the two neutron life logging methods are complementary, and the adaptive range to the environment is expanded.
Chinese patent 201310555768.0 discloses a method for calculating rock mineral composition of stratum by element content, which uses stratum element content curve obtained by element logging and conventional logging curve as input information, and combines regional geological parameters to calculate the volume content of rock mineral composition of complex lithologic stratum.
However, the oil saturation interpretation models or methods of the above patents and various large logging companies tend to have low compliance rates, typically only up to 60%, which, while meeting some basic requirements, is far from the desired goal of well logging.
Disclosure of Invention
Aiming at the problem of low logging coincidence rate in the prior art, the invention provides a logging method with high logging coincidence rate.
Through a large amount of experimental researches, the applicant finds that one main reason that the coincidence rate of the logging method in the prior art is low is to neglect the influence of the limestone in the rock formation, and even though some documents or logging companies think that the influence of the limestone is removed, the removal mode is not correct.
In well logging, because well conditions of various regions are different, different interpretation models need to be established for each region, but even if the models are set for the regions, an appropriate model cannot be found to really reflect the oil saturation condition of the region.
Therefore, the invention provides a new logging method, and the logging method adopts an oil saturation interpretation model for correcting grey matter influence, the model can effectively correct the components of the grey rock in the stratum, interpretation data obtained by the interpretation model is not influenced by the components of the grey matter of the stratum, and the accuracy of oil saturation interpretation is further obviously improved.
The applicant notices that the existing well logging interpretation models are all obtained under sandstone conditions, and when the stratum contains gray matter, the interpretation of the oil saturation degree can be influenced. The main effects are manifested in two aspects: firstly, the reservoir contains gray matter, which causes the C/O logging curve of the reservoir to be higher, and explains that the oil saturation of the reservoir is higher; and secondly, the interlayer contains gray matter, so that the C/O logging curve of the interlayer is higher, and if the C/O logging baseline is judged according to the interlayer, the explained reservoir oil saturation is often lower. Aiming at the problem, the applicant establishes a new interpretation model, and can eliminate the influence of the two aspects to the maximum extent, thereby obviously improving the interpretation precision of the oil saturation and increasing the interpretation precision to more than 90%.
During logging, a pulsed neutron detector is typically used to emit neutrons into the target formation and detect the received radiation. The logging method of the invention is a method for processing data measured by a detector and obtaining corresponding formation data, in particular oil saturation data.
Specifically, the invention provides a high-precision carbon-oxygen ratio logging method which is characterized in that
The method comprises the following steps:
step S1, simulating the gamma flow energy spectrum numerical value;
step S2, determining a response function of the detector;
step S3, processing numerical simulation data;
s4, extracting logging parameters;
step S5, establishing a C/O explanation model;
and step S6, calculating the oil saturation based on the established C/O interpretation model.
Preferably, the step S1 includes: and constructing a Monte Carlo numerical simulation model according to the parameters of the adopted logging instrument, the size of the target well bore and the stratum composition, and obtaining the non-elastic net spectrum gamma flow energy spectrum and the capture spectrum gamma flow energy spectrum of saturated oil or saturated water with different porosities and different lithologies.
Preferably, the step S2 includes: the detector response function is numerically simulated by the following formula:
Figure BDA0001652795820000031
in the formula, E1 … Ei … E256 represents a response function at each energy point E1 … Ei … E256, and R1 … Ri … R256 is a track address.
Preferably, the step S3 includes: and determining energy spectrum data under different lithology and porosity conditions.
Preferably, the step S4 includes: c, O and Ca data of the target mine are extracted based on the determined energy spectrum data.
Preferably, the detector is a pulsed neutron tool.
In another aspect, the present invention provides a method of correcting carbon to oxygen ratio data for well logging.
The invention adopts a Monte Carlo numerical simulation method, and the simulation calculation is carried out by two steps: firstly, simulating a gamma flow energy spectrum reaching the outside of the BGO detector and a response function of a detector irradiating the outside of the detector by using single-energy gamma rays with different energies, and then convolving the energy spectrum and the response function to simulate an energy spectrum measured by the detector. The simulated energy spectrum types comprise a non-clean spectrum and a capture spectrum, and C/O, Y is respectively extracted from the energy spectrumCaLogging parameters, namely obtaining the logging parameters which change along with the porosity, and forming a carbon-oxygen ratio explanation model for correcting gray matter influence, wherein the method specifically comprises the following steps:
(1) gamma flow energy spectrum numerical simulation
A Monte Carlo numerical simulation model (which can be realized by a person skilled in the art) is established according to the actual structure, the actual borehole size and the stratum composition of the pulsed neutron logging instrument, and a non-elastic net spectrum gamma flow energy spectrum and a capture spectrum gamma flow energy spectrum under different porosities and under different conditions of saturated water sandstone, saturated oil sandstone, saturated water limestone, saturated oil limestone and the like are obtained through calculation.
(2) Detector response function
The detector response function model is a numerical simulation model established according to the actual size, materials and structure of the detector. Obtaining the detector response function by numerical simulation (equation 1)
Figure BDA0001652795820000041
In the formula, E1 … Ei … E256 represents a response function at each energy point E1 … Ei … E256, and R1 … Ri … R256 is a track address.
(3) Numerical analog data processing
And (3) convolving the acquired gamma flow energy spectrums of the non-ejection net spectrum and the acquired capture spectrum with the response function of the detector respectively under different lithologies and porosities of the stratum to acquire the energy spectrums under the different lithologies and porosities of the stratum, and then carrying out broadening and normalization processing (optionally, other processing) on the energy spectrums under different conditions to acquire the non-ejection net spectrum and the capture spectrum which are basically consistent with the actually measured spectrum shape and the characteristic peak width.
(4) Extracting logging parameters
C, O yields are extracted from the obtained non-elastic net spectra under different lithologic porosity conditions, and C/O logging parameters are obtained; extracting Ca yield from the obtained capture spectrum under the condition of different lithologic porosities, namely YCaAnd (6) logging parameters.
(5) Establishing a corrected gray matter C/O interpretation model
Firstly, obtaining a C/O (carbon/oxygen) changing relation along with porosity under the conditions of saturated oil sandstone and saturated water sandstone, and obtaining a C/O explanation model under the condition of pure sandstone; dividing the C/O difference between the limestone and the sandstone by the Y value between the limestone and the sandstone under the condition of different porosities phiCaDifference values are obtained to obtain a proportionality coefficient; by YCaTrue log value and saturated water sandstone YCaIs multiplied by the scaling factor to calculate Δ C/OCaA model is interpreted for correcting the grey matter C/O, i.e. the amount of C/O variation produced by the grey matter.
(6) Calculating oil saturation
To convert C/OWell log valueAnd Δ C/OCaAnd (4) obtaining C/O under the condition of sandstone by difference, and further obtaining an interpretation model of oil saturation.
(7) And measuring the target rock stratum of the target well by using a pulse neutron logging instrument to obtain the energy spectrum data of the target rock stratum, and interpreting and calculating the actually measured energy spectrum data by using the obtained oil saturation interpretation model to obtain the oil saturation data of the corresponding stratum.
The high-precision carbon-oxygen ratio well logging method can obviously improve the well logging coincidence rate, and a large number of experiments prove that the method can effectively avoid the influence of stratum gray matter components on C/O interpretation and can improve the well logging coincidence rate to over 90 percent.
Drawings
FIG. 1 is a non-ballistic net spectral gamma flow energy spectrum;
FIG. 2 is a capture spectrum gamma flow energy spectrum;
FIG. 3 is a diagram of a detector response matrix;
FIG. 4 is a comparison graph of simulated non-ballistic net spectra and actual measurements;
FIG. 5 is a comparison of capture spectra and actual measurements;
FIG. 6 is a chart of C/O as a function of porosity;
FIG. 7 is YCaThe plate varied with porosity.
Detailed Description
The invention is described in detail below with reference to the drawings and the embodiments thereof, but the scope of the invention is not limited thereto.
The specific logging method of the invention is as follows:
(1) gamma flow energy spectrum numerical simulation
Firstly, establishing a Monte Carlo numerical simulation model according to the actual structure, the actual borehole size and the stratum components of the pulsed neutron logging instrument, and obtaining a non-elastic net spectrum gamma flow energy spectrum and a capture spectrum gamma flow energy spectrum under different conditions of saturated water sandstone, saturated oil sandstone, saturated water limestone and saturated oil limestone under the porosity of 0-40% through calculation. Taking the porosity of 30% and the saturated water sand formation conditions as an example, the gamma flow energy spectrum of the non-elastic net spectrum and the capture spectrum are respectively shown in fig. 1 and fig. 2.
(2) Detector response function
The detector response function model mentioned here is a numerical simulation model established according to the actual size, material and structure of the detector. The detector response function (formula 1) is obtained by numerical simulation according to the following formula, as shown in FIG. 3
Figure BDA0001652795820000061
In the formula, E1 … Ei … E256 represents a response function at each energy point E1 … Ei … E256, and R1 … Ri … R256 is a track address.
(3) Numerical analog data processing
Convolving the non-elastic net spectrum and the capture spectrum gamma flow energy spectrum with the response function of a detector respectively under the conditions of the limestone and the sandstone stratum and 0-40% of porosity to obtain the energy spectrum under the conditions of different lithologies and porosities, and then widening and normalizing the energy spectrum under different conditions (or further adopting other modes for processing) to obtain the non-elastic net spectrum and the capture spectrum which are basically consistent with the actually measured spectrum shape and the characteristic peak width. Taking porosity of 30% and saturated water sand formation as an example, the processed numerical simulation non-elastic net spectrum, the capture spectrum and the actual measurement are compared as examples, and are respectively shown in fig. 4 and fig. 5.
(4) Extracting logging parameters
Under the conditions of the limestone and sandstone formations and 0-40% of porosity, extracting C, O yield from a non-elastic net spectrum according to C, O element energy windows of 4.15-4.81 MeV and 5.09-6.76 MeV respectively to obtain C/O logging parameters; extracting Ca yield, namely Y, from the capture spectrum according to the Ca element energy window of 5.32-6.80 MeV under the condition of different lithological porositiesCaAnd (6) logging parameters. C/O, YCaThe plates are shown in fig. 6 and 7, respectively, as a function of porosity.
(5) Establishing a C/O interpretation model
Obtaining the relation of C/O changing along with the porosity under the condition of saturated oil sandstone and saturated water sandstone, establishing a C/O explanation model under the condition of pure sandstone, as shown in a formula 2,
Figure BDA0001652795820000071
in the formula (I), the compound is shown in the specification,nc、norespectively represent the number of atoms in formation C, O;
under the condition of different porosities phi, dividing the C/O difference value of the saturated water limestone and the saturated water sandstone by the Y value of the limestone and the sandstoneCaThe difference, resulting in a scaling factor, see equation 3,
Figure BDA0001652795820000072
by YCa log valueWith saturated water sandstone YCaIs multiplied by the scaling factor to calculate Δ C/OCaTo correct for the C/O interpretation model of gray matter, i.e., the amount of C/O variation produced by gray matter, see equation 4,
ΔC/OCa＝5.55(Yca log value-YCa)＝5.55(YCa log value- (0.1058-0.0466 phi)) (equation 4)
(6) Calculating oil saturation
To convert C/OWell log valueAnd Δ C/OCaIs as C/OSandstoneAnd further obtaining an interpretation model of oil saturation. Formula 5 is an oil saturation interpretation model, wherein So is the oil saturation; phi is porosity; Δ C/O is shown in equation 6
Figure BDA0001652795820000073
ΔC/O＝C/OSandstone-0.09595(1- Φ) +0.4114 (equation 6)
The patents which can be found at present do not have a method for correcting the influence of the gray matter and accurately establishing an oil saturation interpretation model after correcting the influence of the gray matter.
In the past, the effective rate of the measures is about 60% when the well logging is carried out in the Daqing oil field, the Changqing oil field, the Jidong oil field and other areas, 50-well logging interpretation is carried out by adopting the interpretation model, the measures are carried out on the oil well according to the interpretation result, the coincidence rate reaches more than 90%, and the oil and gas increasing effect is obviously improved after the measures are carried out.
While the principles of the invention have been described in detail in connection with the preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing embodiments are merely illustrative of exemplary implementations of the invention and are not limiting of the scope of the invention. The details of the embodiments are not to be interpreted as limiting the scope of the invention, and any obvious changes, such as equivalent alterations, simple substitutions and the like, based on the technical solution of the invention, can be interpreted without departing from the spirit and scope of the invention.

Claims (6)

1. A high-precision carbon-oxygen ratio logging method is characterized by comprising the following steps:
step S1, simulating the gamma flow energy spectrum numerical value;
step S2, determining a response function of the detector;
step S3, processing numerical simulation data;
s4, extracting logging parameters;
step S5, establishing a C/O explanation model;
step S6, calculating the oil saturation based on the established C/O interpretation model,
wherein the step S5 includes:
obtaining the relation of C/O (carbon/oxygen) changing along with the porosity under the condition of saturated oil sandstone and saturated water sandstone, and obtaining a C/O explanation model under the condition of pure sandstone; under the condition of different porosities phi, dividing the difference value of C/O of saturated water limestone and C/O of saturated water sandstone by limestone YCaWith sandstone YCaDifference to obtain a proportionality coefficient, wherein YCaCa yield extracted for the capture spectrum; by YCaTrue log value and saturated water sandstone YCaIs multiplied by the scaling factor to calculate Δ C/OCa，ΔC/OCaThe calculation formula (2) is a C/O interpretation model for correcting gray matter, and the C/O logging value and delta C/O are measuredCaMaking difference to obtain C/O under the condition of sandstone, further obtaining an interpretation model of oil saturation,
and the step S6 includes the steps of measuring the target rock stratum of the target well by using a pulse neutron logging instrument to obtain the energy spectrum data of the target rock stratum, and interpreting and calculating the measured energy spectrum data by using the obtained oil saturation interpretation model to obtain the oil saturation data of the corresponding stratum.
2. A high accuracy carbon to oxygen ratio well logging method as defined in claim 1,
the step S1 includes: and constructing a Monte Carlo numerical simulation model according to the parameters of the adopted logging instrument, the size of the target well bore and the stratum composition, and obtaining the non-elastic net spectrum gamma flow energy spectrum and the capture spectrum gamma flow energy spectrum of saturated oil or saturated water with different porosities and different lithologies.
3. A high accuracy carbon to oxygen ratio well logging method as claimed in claim 1, wherein said step S2 comprises: the detector response function is numerically simulated by the following formula:
Figure FDA0003345722060000021
in the formula, E1 … Ei … E256 represents a response function at each energy point E1 … Ei … E256, and R1 … Ri … R256 is a track address.
4. A high accuracy carbon to oxygen ratio well logging method as claimed in claim 1, wherein said step S3 comprises: and determining energy spectrum data under different lithology and porosity conditions.
5. A high accuracy carbon to oxygen ratio well logging method according to claim 4, wherein said step S4 comprises: c, O and Ca data of the target mine are extracted based on the determined energy spectrum data.
6. A high accuracy carbon to oxygen ratio well logging method as defined in claim 1, wherein said detector is a pulsed neutron tool.
CN201810428514.5A 2018-05-07 2018-05-07 High-precision carbon-oxygen ratio logging method Active CN108661632B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810428514.5A CN108661632B (en) 2018-05-07 2018-05-07 High-precision carbon-oxygen ratio logging method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810428514.5A CN108661632B (en) 2018-05-07 2018-05-07 High-precision carbon-oxygen ratio logging method

Publications (2)

Publication Number Publication Date
CN108661632A CN108661632A (en) 2018-10-16
CN108661632B true CN108661632B (en) 2022-02-11

Family

ID=63778708

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810428514.5A Active CN108661632B (en) 2018-05-07 2018-05-07 High-precision carbon-oxygen ratio logging method

Country Status (1)

Country Link
CN (1) CN108661632B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109630091B (en) * 2018-11-02 2021-12-03 中国石油天然气股份有限公司 Method for optimizing numerical simulation energy spectrum in carbon-oxygen ratio logging
CN112031742B (en) * 2020-09-03 2023-07-04 中海油田服务股份有限公司 Carbon-oxygen ratio energy spectrum logging saturation interpretation method based on database
CN112302622B (en) * 2020-10-29 2022-06-17 大庆油田有限责任公司 Method for comprehensively explaining residual oil saturation by pulse neutron full-spectrum logging

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5055676A (en) * 1990-05-09 1991-10-08 Schlumberger Technology Corporation Method for determining oil and water saturation in earth formation surrounding a borehole
GB0001645D0 (en) * 1999-02-19 2000-03-15 Schlumberger Holdings Downhole tool data correction method and apparatus
CN105370273A (en) * 2015-12-10 2016-03-02 中国海洋石油总公司 Method for correcting carbon-oxygen ratio logging environment influencing factors

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010118147A1 (en) * 2009-04-07 2010-10-14 Halliburton Energy Services, Inc. Downhole carbon logging apparatus, systems, and methods

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5055676A (en) * 1990-05-09 1991-10-08 Schlumberger Technology Corporation Method for determining oil and water saturation in earth formation surrounding a borehole
GB0001645D0 (en) * 1999-02-19 2000-03-15 Schlumberger Holdings Downhole tool data correction method and apparatus
CN105370273A (en) * 2015-12-10 2016-03-02 中国海洋石油总公司 Method for correcting carbon-oxygen ratio logging environment influencing factors

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
C/O能谱测井非弹谱的解析方法软件及应用;庞巨丰等;《原子核物理评论》;20050331;第22卷(第1期);67-71 *
Study on the interpretation method of formation-elements logging;Weiwei He等;《IFMCA 2016》;20170331;第113卷;758-761 *
李玉玲等.碳氧比测井在中低孔隙度下的应用.《测井技术》.1996,第20卷(第6期),454-460. *
碳氧比测井在中低孔隙度下的应用;李玉玲等;《测井技术》;19961220;第20卷(第6期);454-460 *

Also Published As

Publication number Publication date
CN108661632A (en) 2018-10-16

Similar Documents

Publication Publication Date Title
CN103792338B (en) A kind of determination method and apparatus of content of organic carbon of hydrocarbon source rock
US6389367B1 (en) Method and apparatus for calibrating readings of a downhole tool
CN108661632B (en) High-precision carbon-oxygen ratio logging method
CN109521487B (en) Method for identifying gas layer by using element gamma energy spectrum logging
CN110192125B (en) Formation water salinity as measured from a wellbore
CN107907910B (en) Different lithologic reservoir transverse wave well logging determination method
CN103696765B (en) Double LaBr based on controllable neutron source3detector elements spectrometer tool and logging method
CN101906963A (en) Method for determining saturation by using C/O and formation macro capture cross-section intersecting technique
CN103678778B (en) Method for radioactive geophysical and geochemical exploration information integration
Zett et al. Application of new generation multi detector pulsed neutron technology in petrophysical surveillance
CN105275459A (en) A method for determining the mobile water volume content of shale formations
Mizuno et al. Anisotropic velocity model inversion for imaging the microseismic cloud
CN103744121A (en) Method for logging well by saturation of carbon hydrogen ratio to stratum fluid
Guidry et al. Devonian shale formation evaluation model based on logs, new core analysis methods, and production tests
CN115629428A (en) Method for performing joint inversion on reservoir parameters through resistivity and nuclear logging under slurry invasion
CN106958443B (en) Method and system for correcting carbon-oxygen ratio logging drilling fluid invasion influence factors
Ge et al. Porosity evaluation of igneous rocks based on deep learning
Liu et al. Formation evaluation and rock physics analysis for shale gas reservoir-a case study from China South
Ajayi et al. Petrophysical interpretation of LWD, neutron-induced gamma-ray spectroscopy measurements: an inversion-based approach
Al-Salim et al. Using a new spectroscopy tool to quantify elemental concentrations and TOC in an unconventional shale gas reservoir: case studies from Saudi Arabia
Yuan et al. Can the evaluation accuracy of elemental concentration be further enhanced in geochemical logging?—A break attempt to obtain purer inelastic gamma spectrum
Pafeng* et al. Joint rock physics inversion of elastic and electric attributes for rock and fluid properties–a real data example
Wang et al. Pre-Job Planning Based on Nuclear Modeling Leads to Successful Downhole Mineralogy Determination in Extremely Challenging Logging Conditions
Perez et al. Pulsed Neutron Through-Casing Technology for determination of mineralogy and total organic carbon–First case study in the Neuquén Basin, Argentina
Zhao et al. The Application of the Multi-Mineral Model in a Block of Southern China

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant