CN108661632A - A kind of high-precision carbon/oxygen log method - Google Patents
A kind of high-precision carbon/oxygen log method Download PDFInfo
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- CN108661632A CN108661632A CN201810428514.5A CN201810428514A CN108661632A CN 108661632 A CN108661632 A CN 108661632A CN 201810428514 A CN201810428514 A CN 201810428514A CN 108661632 A CN108661632 A CN 108661632A
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 229910052760 oxygen Inorganic materials 0.000 title claims abstract description 23
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 20
- 239000001301 oxygen Substances 0.000 title claims abstract description 17
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 14
- MYMOFIZGZYHOMD-UHFFFAOYSA-N Dioxygen Chemical compound O=O MYMOFIZGZYHOMD-UHFFFAOYSA-N 0.000 title claims abstract 9
- 238000001228 spectrum Methods 0.000 claims abstract description 54
- 238000004088 simulation Methods 0.000 claims abstract description 23
- 238000005316 response function Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 6
- 239000003921 oil Substances 0.000 claims description 33
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 15
- 229920006395 saturated elastomer Polymers 0.000 claims description 12
- 230000015572 biosynthetic process Effects 0.000 claims description 10
- 229910052791 calcium Inorganic materials 0.000 claims description 2
- 238000013075 data extraction Methods 0.000 claims 1
- 210000004884 grey matter Anatomy 0.000 abstract description 13
- 238000002474 experimental method Methods 0.000 abstract description 3
- 239000004615 ingredient Substances 0.000 abstract description 3
- 238000010200 validation analysis Methods 0.000 abstract 1
- 235000019738 Limestone Nutrition 0.000 description 13
- 239000006028 limestone Substances 0.000 description 13
- 238000005259 measurement Methods 0.000 description 6
- 239000000203 mixture Substances 0.000 description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 5
- 238000012937 correction Methods 0.000 description 4
- 239000011435 rock Substances 0.000 description 4
- 239000011229 interlayer Substances 0.000 description 3
- 238000000354 decomposition reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 102000000584 Calmodulin Human genes 0.000 description 1
- 108010041952 Calmodulin Proteins 0.000 description 1
- 230000004308 accommodation Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000009096 changqing Substances 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000005251 gamma ray Effects 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 125000004430 oxygen atom Chemical group O* 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK 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 OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Fluid Mechanics (AREA)
- Environmental & Geological Engineering (AREA)
- Geochemistry & Mineralogy (AREA)
- Theoretical Computer Science (AREA)
- Geophysics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a kind of high-precision carbon/oxygen log methods, and the method includes following step:Step S1, gamma flows power spectrum numerical simulation;Step S2, detector response function determines;Step S3, numerical simulation data processing is carried out;Step S4, log parameter is extracted;Step S5, C/O interpretation models are established;Step S6, oil saturation is calculated based on the C/O interpretation models established.The high-precision carbon/oxygen log method of the present invention can significantly improve the coincidence rate of well logging, and by lot of experiment validation, method of the invention can effectively avoid the influence that stratum grey matter ingredient explains C/O, can well logging coincidence rate be promoted to 90% or more.
Description
Technical field
The invention belongs to geological exploration fields, and in particular to oil well, gas well well logging, carbon/oxygen log method and log data
Processing.
Background technology
Carbon-to-oxygen ratio (C/O) well logging can directly determine production as a kind of important oil field development monitoring means in cased well
Layer parameter, remaining oil saturation distribution and water flooding degree etc., are the important support technologies of oilfield stable production, are obtained at present in each oil field
Extensive use.
For example, Chinese patent application 200710018164.7 discloses " pulse neutron double-spectrum saturation logging method ", packet
Include following steps:1. acquiring log data;2. pair thermal neutron time spectrum, capture gamma time spectrum carry out depth-time 2-D filter
Wave does depth-energy two-dimensional filtering to capture gamma spectra and natural gamma spectra;3. a pair filtered data are normalized
Processing;4. the data after pair normalized carry out multi-resolution decomposition;5. the data after pair decomposition are reconstructed and merge;6. aobvious
Show well logging image and log, 7. carry out geologic interpretation;Thermal neutron can be acquired simultaneously under identical environment with primary go into the well
Time spectrum, capture gamma time spectrum, make two kinds of neutron life time log methods have complementary advantages, expand the accommodation to environment.
Chinese patent 201310555768.0 discloses " method for calculating formation rock mineralogical composition with constituent content ", with
Stratum element content curve that geochemical well logging obtains, Logging Curves are input information, and calmodulin binding domain CaM geologic parameter calculates
Go out the volume content of the rock mineral composition of complex lithology formation.
But the oil saturation interpretation model or means of interpretation of above-mentioned patent and major Logging Company often coincidence rate
It is relatively low, it usually can only reach 60%, although the coincidence rate can meet some primary demands, people are much not achieved in this
To the hope target of well logging.
Invention content
For the low problem of well logging coincidence rate existing in the prior art, the present invention provides a kind of with high well logging coincidence rate
Logging method.
Applicant is through a large number of experiments the study found that logging method coincidence rate in the prior art relatively low one is main
The reason is that having ignored the influence of limestone in rock stratum, the influence of limestone is gone even if having individual documents or Logging Company to contemplate
It removes, the mode of removal is also and incorrect.
In well logging, since each department hole condition has differences, it is therefore desirable to formulate different explanation moulds for each area
Type still even if being configured model for area, may not be able to also find suitably model and veritably reflect this area
Oil saturation situation.
Therefore, the present invention proposes a kind of new logging method, and a kind of correction ash is used in logging method of the invention
The oil saturation interpretation model that matter influences, the model can effectively correct limestone ingredient in stratum, utilize the interpretation model
The interpretation data of acquisition significantly improves the accuracy of oil saturation explanation not by stratum grey matter composition influence.
Applicant have observed that existing log interpretation model obtains under the conditions of being all based on sandstone, it is grey when containing in stratum
When matter, oil saturation explanation can be influenced.Influence is mainly shown as two aspects:First, containing grey matter in reservoir, reservoir C/O is caused
Log is higher, explains that reservoir oil saturation is higher;Second is that containing grey matter in interlayer, cause interlayer C/O logs inclined
Height often causes to explain that reservoir oil saturation is relatively low again if judging C/O well logging baselines according to interlayer.For this problem, application
People establishes a kind of new interpretation model, can eliminate the influence of these two aspects to the maximum extent, to significantly improve
Oil saturation Explanation Accuracy, by Explanation Accuracy is promoted to 90% or more.
In well logging, generally use pulsed neutron survey meter sends out neutron to target formation and detects received penetrate
Line.The logging method of the present invention is exactly for data measured by survey meter to be handled and obtained with corresponding rock stratum data especially
It is the method for oil saturation data.
Specifically, the present invention provides a kind of high-precision carbon/oxygen log method, which is characterized in that described
Method includes the following steps:
Step S1, gamma flows power spectrum numerical simulation;
Step S2, detector response function determines;
Step S3, numerical simulation data processing is carried out;
Step S4, log parameter is extracted;
Step S5, C/O interpretation models are established;
Step S6, oil saturation is calculated based on the C/O interpretation models established.
Preferably, the step S1 includes:According to the parameter of used logging instrument and the size and ground of target wellbore
Composition of layer builds Monte-Carlo Numerical Simulation model, obtains the non-ballistic under Different porosities saturated oils or saturated water, different lithology
Net spectrum gamma stream power spectrum and capture spectrum gamma flow power spectrum.
Preferably, the step S2 includes:Calculating detector receptance function is simulated by following equation values:
In formula, E1 ... Ei ... E256 represent the receptance function under each energy point e1 ... ei ... e256, and R1 ... Ri ... R256 are
Road location.
Preferably, the step S3 includes:Determine the gamma-spectrometric data under the conditions of Different Strata lithology, porosity.
Preferably, the step S4 includes:C, O and Ca data of target mine are extracted based on identified gamma-spectrometric data.
Preferably, the detector is pulsed neutron log instrument.
On the other hand the present invention provides a kind of bearing calibration to carbon-to-oxygen ratio data for well logging.
Simulation is calculated and is carried out in two steps by the method that the present invention uses Monte-Carlo Numerical Simulation:First simulation reaches respectively
Detector outside single energy gamma-ray irradiation detector of gamma stream power spectrum and different-energy outside BGO detectors responds letter
Number, the power spectrum for then measuring the two convolution, analog prober.Simulation power spectrum type includes non-ballistic two kinds of spectrum and capture spectrum only,
C/O, Y are extracted from power spectrum respectivelyCaLog parameter obtains log parameter and changes with porosity, forms the carbon that correction grey matter influences
Oxygen specifically includes following steps than interpretation model:
(1) gamma flows power spectrum numerical simulation
Monte-Carlo Numerical Simulation is established by the practical structures of pulsed neutron log instrument, practical wellbore size and stratum composition
Model (this is that those skilled in the art may be implemented) is obtained by calculating under Different porosities, saturation water sandstone, saturated oils
Under the different conditions such as sandstone, saturated water limestone, saturated oils limestone, non-ballistic composes gamma stream power spectrum and capture spectrum gamma stream power spectrum only.
(2) detector response function
The detector response function model is the numerical simulation established according to detector actual size, material, structure
Model.Detector response function (formula 1) is obtained by numerical simulation calculation
In formula, E1 ... Ei ... E256 represent receptance function under each energy point e1 ... ei ... e256, and R1 ... Ri ... R256 are
Location.
(3) numerical simulation data is handled
Under the conditions of the Different Strata lithology obtained, porosity, non-ballistic composes only, capture spectrum gamma stream power spectrum respectively with spy
Survey device receptance function convolution, obtain the power spectrum under the conditions of Different Strata lithology, porosity, then to the power spectrum under different condition into
Line broadening, normalized (optionally, further including other processing) obtain and compose shape and almost the same non-of feature peak width with actual measurement
Bullet is composed only and capture spectrum.
(4) log parameter is extracted
It composes extraction C, O yield only from the non-ballistic under the conditions of the different lithology porosity obtained, obtains C/O log parameters;
Under the conditions of the different lithology porosity obtained, capture spectrum extracts Ca yields, as YCaLog parameter.
(5) correction grey matter C/O interpretation models are established
Under the conditions of obtaining saturation oil sands, saturation water sandstone first, C/O obtains clean sandstone item with porosity variation relation
Under part, C/O interpretation models;Under the conditions of Different porosities φ, with limestone and sandstone C/O differences divided by limestone and sandstone YCaDifference
Value, obtains proportionality coefficient;Use YCaTrue log value and saturation water sandstone YCaDifference, be multiplied by the proportionality coefficient, Δ can be calculated
C/OCa, to correct the C/O interpretation models of grey matter, i.e., the C/O variable quantities that grey matter generates.
(6) oil saturation is calculated
By C/OLog valueWith Δ C/OCaIt is poor to make, and obtains C/O under the conditions of sandstone, further obtains the explanation mould of oil saturation
Type.
(7) the power spectrum number for obtaining target formation is measured to the target formation of target well using pulsed neutron log instrument
According to utilizing obtained oil saturation interpretation model to explain calculating to the gamma-spectrometric data of actual measurement, obtain corresponding stratum
Oil saturation data.
The high-precision carbon/oxygen log method of the present invention can significantly improve the coincidence rate of well logging, be tested by many experiments
Card, method of the invention can effectively avoid the influence that stratum grey matter ingredient explains C/O, can be promoted to well logging coincidence rate
90% or more.
Description of the drawings
Fig. 1 is that non-ballistic composes gamma stream power spectrum only;
Fig. 2 is that capture spectrum gamma flows power spectrum;
Fig. 3 is detector response matrix figure;
Fig. 4 is simulation non-ballistic spectrum and actual measurement comparison diagram only;
Fig. 5 is capture spectrum and actual measurement comparison diagram;
Fig. 6 is that C/O changes plate with porosity;
Fig. 7 is YCaChange plate with porosity.
Specific implementation mode
Below in conjunction with attached drawing and embodiment, the present invention is described in detail, but not therefore by the protection model of the present invention
It encloses and is limited among the range of embodiment description.
The specific logging method of the present invention is as described below:
(1) gamma flows power spectrum numerical simulation
First, Monte Carlo number is established by the practical structures of pulsed neutron log instrument, practical wellbore size and stratum composition
It is worth simulation model, is obtained under 0-40% porositys by calculating, saturation water sandstone, saturation oil sands, saturated water limestone, saturated oils
Under limestone different condition, non-ballistic composes gamma stream power spectrum and capture spectrum gamma stream power spectrum only.With 30% porosity, it is saturated Water sandstone formation
For condition, acquisition non-ballistic is composed only, capture spectrum gamma stream power spectrum difference is as shown in Figure 1, Figure 2.
(2) detector response function
Detector response function model mentioned herein is the number established according to detector actual size, material, structure
It is worth simulation model.By numerical simulation, calculates obtain detector response function (formula 1) according to the following equation, such as Fig. 3
In formula, E1 ... Ei ... E256 represent receptance function under each energy point e1 ... ei ... e256, and R1 ... Ri ... R256 are
Location.
(3) numerical simulation data is handled
Under the conditions of the limestone, sandstone formation, 0-40% porositys, non-ballistic is composed only, capture spectrum gamma stream power spectrum is divided
Not with detector response function convolution, the power spectrum under the conditions of Different Strata lithology, porosity is obtained, then under different condition
Power spectrum obtains and actual measurement spectrum shape and spy into line broadening, normalized (or further other modes can also be used to handle)
Levy the almost the same non-ballistic of peak width spectrum and capture spectrum only.With porosity 30%, it is saturated for Water sandstone formation, numerical value after being handled
Simulation non-ballistic is composed only, capture spectrum is with for actual measurement comparison, and difference is as shown in Figure 4, Figure 5.
(4) log parameter is extracted
Under the conditions of the limestone, sandstone formation, 0-40% porositys, by C, O element energy window be respectively 4.15~
4.81MeV and 5.09~6.76MeV composes extraction C, O yield from non-ballistic, obtains C/O log parameters only;From the different lithology
It is 5.32~6.80MeV by Ca element energy windows under the conditions of porosity, Ca yields, as Y is extracted from capture spectrumCaLog parameter.C/
O、YCaIt is as shown in Figure 6,7 with porosity variation plate difference.
(5) C/O interpretation models are established
Under the conditions of obtaining saturation oil sands, saturation water sandstone, C/O is established with porosity variation relation under the conditions of clean sandstone,
C/O interpretation models are shown in formula 2,
In formula, nc、noRespectively represent stratum C, O atom number;
Under the conditions of Different porosities φ, with saturated water limestone and saturation water sandstone C/O differences divided by limestone and sandstone YCa
Difference obtains proportionality coefficient, sees formula 3,
Use YCa log valuesWith saturation water sandstone YCaDifference, be multiplied by the proportionality coefficient, Δ C/O can be calculatedCa, to correct grey matter
C/O interpretation models, i.e., grey matter generate C/O variable quantities, see formula 4,
ΔC/OCa=5.55 (YCa log values-YCa(the YC of)=5.55A log values(0.1058-0.0466 φ)) (formula 4)
(6) oil saturation is calculated
By C/OLog valueWith Δ C/OCaIt is poor to make, and is C/OSandstone, further obtain the interpretation model of oil-containing saturation.Formula 5 is oil-containing
Saturation degree interpretation model, So in formula:Oil saturation;Φ:Porosity;ΔC/O:See formula 6
Δ C/O=C/OSandstone- 0.09595 (1- Φ)+0.4114 (formula 6)
After the patent hitherto found does not influence on how to correct grey matter, and correction grey matter influences, how
The method for accurately establishing oil saturation interpretation model.
It logged well in the past to areas such as Daqing oil field, Changqing oilfields, NW Hebeis, measure effective percentage is about 60%, is adopted
With the interpretation model of the present invention, 50 wells time well log interpretation is carried out, by explanation results to oil well progress measure, coincidence rate is up to 90%
More than, increase oil after measure and increases the promotion of gas significant effect.
Although the principle of the present invention is described in detail above in conjunction with the preferred embodiment of the present invention, this field skill
Art personnel are it should be understood that above-described embodiment is only the explanation to the exemplary implementation of the present invention, not to present invention packet
Restriction containing range.Details in embodiment is simultaneously not meant to limit the scope of the invention, without departing substantially from the present invention spirit and
In the case of range, any equivalent transformation, simple replacement based on technical solution of the present invention etc. obviously changes, and all falls within
Within the scope of the present invention.
Claims (7)
1. a kind of high-precision carbon/oxygen log method, which is characterized in that the method includes following step:
Step S1, gamma flows power spectrum numerical simulation;
Step S2, detector response function determines;
Step S3, numerical simulation data processing is carried out;
Step S4, log parameter is extracted;
Step S5, C/O interpretation models are established;
Step S6, oil saturation is calculated based on the C/O interpretation models established.
2. high-precision carbon/oxygen log method according to claim 1, which is characterized in that
The step S1 includes:It is built and is covered according to the size and formation component of the parameter of used logging instrument and target wellbore
Special Caro numerical simulator obtains the non-ballistic under Different porosities saturated oils or saturated water, different lithology and composes gamma stream energy only
Spectrum and capture spectrum gamma flow power spectrum.
3. high-precision carbon/oxygen log method according to claim 1, which is characterized in that
The step S2 includes:Calculating detector receptance function is simulated by following equation values:
In formula, E1 ... Ei ... E256 represent the receptance function under each energy point e1 ... ei ... e256, and R1 ... Ri ... R256 are road location.
4. high-precision carbon/oxygen log method according to claim 1, which is characterized in that
The step S3 includes:Determine the gamma-spectrometric data under the conditions of Different Strata lithology, porosity.
5. high-precision carbon/oxygen log method according to claim 4, which is characterized in that the step S4 includes:It is based on
C, O and Ca data of identified gamma-spectrometric data extraction target mine.
6. high-precision carbon/oxygen log method according to claim 1, which is characterized in that the detector is pulsed neutron
Logging instrument.
7. a kind of bearing calibration to carbon-to-oxygen ratio data for well logging.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109630091A (en) * | 2018-11-02 | 2019-04-16 | 中国石油天然气股份有限公司 | A kind of method of Optimized Numerical Simulation power spectrum in carbon/oxygen log |
CN112031742A (en) * | 2020-09-03 | 2020-12-04 | 中海油田服务股份有限公司 | Carbon-oxygen ratio energy spectrum logging saturation interpretation method based on database |
CN112302622A (en) * | 2020-10-29 | 2021-02-02 | 大庆油田有限责任公司 | Method for comprehensively explaining residual oil saturation by pulse neutron full-spectrum logging |
Citations (4)
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 |
US20120091328A1 (en) * | 2009-04-07 | 2012-04-19 | Halliburton Energy Services, Inc. | Downhole carbon logging apparatus, systems, and methods |
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 |
-
2018
- 2018-05-07 CN CN201810428514.5A patent/CN108661632B/en active Active
Patent Citations (4)
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 |
US20120091328A1 (en) * | 2009-04-07 | 2012-04-19 | Halliburton Energy Services, Inc. | Downhole carbon logging apparatus, systems, and methods |
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 (3)
Title |
---|
WEIWEI HE等: "Study on the interpretation method of formation-elements logging", 《IFMCA 2016》 * |
庞巨丰等: "C/O能谱测井非弹谱的解析方法软件及应用", 《原子核物理评论》 * |
李玉玲等: "碳氧比测井在中低孔隙度下的应用", 《测井技术》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109630091A (en) * | 2018-11-02 | 2019-04-16 | 中国石油天然气股份有限公司 | A kind of method of Optimized Numerical Simulation power spectrum in carbon/oxygen log |
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 |
CN112031742A (en) * | 2020-09-03 | 2020-12-04 | 中海油田服务股份有限公司 | Carbon-oxygen ratio energy spectrum logging saturation interpretation method based on database |
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 |
CN112302622A (en) * | 2020-10-29 | 2021-02-02 | 大庆油田有限责任公司 | Method for comprehensively explaining residual oil saturation by pulse neutron full-spectrum logging |
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 |
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