CN117310812A - Methane fluid longitudinal wave time difference skeleton parameter acquisition method - Google Patents
Methane fluid longitudinal wave time difference skeleton parameter acquisition method Download PDFInfo
- Publication number
- CN117310812A CN117310812A CN202311273005.7A CN202311273005A CN117310812A CN 117310812 A CN117310812 A CN 117310812A CN 202311273005 A CN202311273005 A CN 202311273005A CN 117310812 A CN117310812 A CN 117310812A
- Authority
- CN
- China
- Prior art keywords
- longitudinal wave
- time difference
- methane
- wave time
- pressure
- 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.)
- Pending
Links
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 189
- 239000012530 fluid Substances 0.000 title claims abstract description 82
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004364 calculation method Methods 0.000 claims abstract description 25
- 238000012360 testing method Methods 0.000 claims abstract description 18
- 238000005070 sampling Methods 0.000 claims abstract description 13
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 238000002474 experimental method Methods 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 6
- 238000011065 in-situ storage Methods 0.000 claims description 6
- 238000009413 insulation Methods 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 abstract description 6
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000003556 assay Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000009933 burial Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
- G01V1/305—Travel times
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/282—Application of seismic models, synthetic seismograms
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/62—Physical property of subsurface
- G01V2210/622—Velocity, density or impedance
- G01V2210/6222—Velocity; travel time
Abstract
The invention discloses a methane fluid longitudinal wave time difference skeleton parameter acquisition method, which comprises the following steps: step one, methane fluid sampling; step two, obtaining a plurality of groups of test experiment data: under different temperature and pressure conditions, performing a longitudinal wave velocity measurement test on the methane fluid sample to obtain corresponding data; step three, constructing a primary calculation model; step four, constructing a longitudinal wave time difference skeleton parameter calculation model; and fifthly, acquiring longitudinal wave time difference skeleton parameters. The method can remarkably improve the accuracy of acquiring the longitudinal wave time difference parameters of the methane fluid skeleton, further improve the accuracy of calculating the high-temperature high-pressure methane gas layer logging interpretation and evaluation porosity by utilizing the acoustic logging data, and has stronger universality.
Description
Technical Field
The invention relates to the technical field of oil and gas exploration, in particular to a method for acquiring methane fluid longitudinal wave time difference skeleton parameters.
Background
In the process of methane gas layer logging interpretation and evaluation, logging technicians are required to timely log and interpret the obtained downhole acoustic logging data according to a stratum component volume model so as to obtain porosity parameters of the gas layer, however, the key of the work is to determine methane fluid longitudinal wave time difference skeleton parameters under different stratum temperatures and stratum pressures.
The existing method for acquiring the methane fluid longitudinal wave time difference skeleton parameters is to inquire a chart recorded by related literature, roughly acquire the related parameters from the chart, and take the related parameters as skeleton parameter values for logging interpretation. However, in long production practices, technicians find that the methane fluid longitudinal wave time difference skeleton parameters obtained by the method are low in accuracy, so that the accuracy of porosity parameters obtained by interpretation of logging processing by using acoustic logging data is low. The reason for this is mainly: (1) The actual stratum temperature and pressure parameter change range is larger; (2) Methane gas layers have different buried depth ranges on the well, so that formation pressure and temperature values of the gas layers are inconsistent. In addition, the existing method is relatively high in subjectivity, and some estimation processes are used, so that the empirical value of the methane fluid longitudinal wave time difference skeleton parameter is relatively different from the value in an actual stratum.
Disclosure of Invention
In order to solve the problems, the invention provides a method for calculating the methane longitudinal wave time difference skeleton parameters under the condition of high-resolution stratum environment parameters, so that the problem of low calculation precision of the methane longitudinal wave time difference skeleton parameters between methane gas layer wells and between methane gas layers with different burial depths is effectively solved.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a methane fluid longitudinal wave time difference skeleton parameter acquisition method comprises the following steps:
step one, methane fluid sampling: selecting a methane fluid sample from a methane gas field well site by using a sampling instrument;
step two, obtaining a plurality of groups of test experiment data: under different temperature and pressure conditions, performing a longitudinal wave velocity measurement test on the methane fluid sample to obtain corresponding data;
step three, constructing a primary calculation model by adopting the test experimental data obtained in the step two;
step four, constructing a methane fluid longitudinal wave time difference skeleton parameter calculation model;
step five, acquiring longitudinal wave time difference skeleton parameters: and actually detecting the temperature and the pressure in the high-temperature high-pressure reservoir, substituting the detected temperature value and pressure value into a longitudinal wave time difference skeleton parameter calculation model, and finally obtaining the longitudinal wave time difference skeleton parameter of the methane fluid in the high-temperature high-pressure reservoir.
In the first step, the methane gas sampling instrument is a thermal-insulation pressure-maintaining in-situ fluid sampling instrument.
Further, in the second step, the device used in the measurement test is an in-situ measuring instrument of the velocity of the fluid longitudinal wave.
Further, in the second step, the plurality of sets of measurement test data are 20 sets.
Further, 20 sets of measurement test data were obtained: for the temperature conditions of 20 ℃, 50 ℃, 100 ℃, 150 ℃ and the pressure conditions of 20MPa, 30MPa, 40MPa, 50MPa and 60MPa, any one temperature and any one pressure are selected to be matched to form corresponding environmental conditions, and the longitudinal wave velocity of methane fluid is measured in the environmental conditions, so that 20 groups of test data consisting of longitudinal wave velocity parameters, temperature parameters and pressure parameters are obtained.
In the third step, a data fitting analysis method is used for carrying out parameter fitting analysis on the methane longitudinal wave velocity data, so that a primary calculation model of the longitudinal wave velocity of the methane fluid along with the temperature and pressure parameter changes is obtained.
Further, in the third step, a primary calculation model of the change of the longitudinal wave velocity of the methane fluid with the temperature and pressure parameters is as follows:
V＝a*T2+b*T+c
a＝-0.00018*P2+0.00142*P-0.0176
b＝1.2215*ln(P)-7.1024
c＝10.921*P+388.69
v is the methane fluid longitudinal wave velocity obtained by experimental measurement, and the unit is m/s; t is the temperature in degrees Celsius; p is the pressure in MPa.
In the fourth step, the longitudinal wave velocity of the methane fluid is converted into a longitudinal wave time difference value by using the acoustic logging response principle, and a longitudinal wave time difference skeleton parameter calculation model of the methane fluid, wherein the longitudinal wave time difference skeleton parameter varies with temperature and pressure, is obtained.
Further, the longitudinal wave time difference skeleton parameter calculation model is specifically as follows:
ΔT(CH4)＝1000000*1/V
wherein DeltaT (CH 4) is a methane fluid longitudinal wave time difference skeleton parameter, and the unit is us/m; v is the methane fluid longitudinal wave velocity in m/s.
Advantageous effects
The accuracy of acquiring the methane fluid skeleton longitudinal wave time difference parameter can be remarkably improved, so that the accuracy of calculating the high-temperature high-pressure methane gas layer logging interpretation and evaluation porosity by utilizing the acoustic logging data is improved, and the method has strong universality. In other words, the invention provides a better and faster acquisition method for the longitudinal wave time difference parameter selection of the methane fluid skeleton in the interpretation and evaluation of high-temperature high-pressure air Tian Cejing.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of a method of an embodiment of the present application;
FIG. 2 is a plot of the longitudinal wave velocity of methane fluid at various temperature and pressure conditions according to an embodiment of the present application.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
The invention provides a methane fluid longitudinal wave time difference frame parameter acquisition method, which can remarkably improve the accuracy of acquiring the methane fluid frame longitudinal wave time difference parameter, further improve the accuracy of calculating the high-temperature high-pressure methane gas layer logging interpretation and evaluation porosity by using acoustic logging data, and has stronger universality. Therefore, the invention provides a better and faster acquisition method for the longitudinal wave time difference parameter selection of the methane fluid skeleton in the explanation and evaluation of the high-temperature high-pressure air Tian Cejing.
As shown in FIG. 1, the method for acquiring the methane fluid longitudinal wave time difference skeleton of the high-temperature high-pressure reservoir comprises the following steps:
step one, methane fluid sampling: and acquiring a methane fluid sample from the high-temperature high-pressure air Tian Jingchang by using a sampling instrument. More specifically, the methane gas sampling instrument is a heat-preserving and pressure-maintaining in-situ fluid sampling instrument.
Step two, obtaining a plurality of groups of test experiment data: laboratory fluid longitudinal wave velocity test analysis is carried out on the methane fluid sample, namely: for the temperature of 20 ℃, 50 ℃, 100 ℃ and 150 ℃ and the pressure of 20MPa, 30MPa, 40MPa, 50MPa and 60MPa, any one temperature and any one pressure are selected to be matched to form corresponding environmental conditions, the methane fluid longitudinal wave velocity is measured under the environmental conditions, 20 groups of methane fluid longitudinal wave velocity experimental data are obtained, the 20 groups of methane fluid longitudinal wave velocity experimental data are reflected in a graph mode, and a data scatter diagram of the methane fluid longitudinal wave velocity under different temperature and pressure conditions is obtained, as shown in figure 2. As can be seen from fig. 2, the methane fluid longitudinal wave velocity and the temperature and pressure show binary correlation, under the same temperature condition, the methane fluid longitudinal wave velocity increases with the increase of the pressure, and under the same pressure condition, the methane fluid longitudinal wave velocity decreases with the increase of the temperature, that is, the methane fluid longitudinal wave velocity has different values under different temperature and pressure conditions. More specifically, in this assay, the apparatus used is a fluid longitudinal wave velocity in situ meter.
Step three, constructing a primary calculation model: and carrying out parameter fitting analysis on the plurality of groups of data by using a data fitting analysis method in a mathematical statistics category, thereby obtaining a primary calculation model of the longitudinal wave velocity of the methane fluid along with the temperature and pressure parameter change. The method comprises the following steps:
in order to better and more accurately express the change rule between the methane fluid longitudinal wave speed and the temperature and pressure, adopting optimized data fitting analysis, firstly, processing and analyzing the temperature and pressure parameters, and obtaining a calculation relational expression between the methane fluid longitudinal wave speed and the temperature and pressure by using binary polynomial fitting analysis:
V＝a*T2+b*T+c
a＝-0.00018*P2+0.00142*P-0.0176
b＝1.2215*ln(P)-7.1024
c＝10.921*P+388.69
v is the methane fluid longitudinal wave velocity obtained by experimental measurement, and the unit is m/s; t is the temperature in degrees Celsius; p is the pressure in MPa.
Step four, constructing a longitudinal wave time difference skeleton parameter calculation model: based on the primary calculation model, the longitudinal wave velocity of the methane fluid is converted into a longitudinal wave time difference value by utilizing the acoustic logging response principle, and the longitudinal wave time difference skeleton parameter calculation model of the methane fluid of the high-temperature and high-pressure reservoir, wherein the longitudinal wave time difference skeleton parameter of the methane fluid changes along with the temperature and the pressure, is obtained. The specific implementation mode is as follows:
from the acoustic logging response principle, the acoustic logging measures the time taken by the sliding wave to traverse the unit length of the stratum, the instant difference is in us/m, the time difference deltat of the acoustic logging record is only related to the stratum speed, and the time required by converting the time difference into the unit distance of the acoustic wave is called the time difference through instrument scales, namely:
Δt＝1/ν (1)
substituting the methane fluid longitudinal wave velocity and temperature and pressure parameter calculation model obtained in the step three into the formula (1) to obtain a longitudinal wave time difference mathematical expression of methane under stratum conditions, wherein the longitudinal wave time difference mathematical expression is as follows:
wherein DeltaT (CH 4) is a methane fluid longitudinal wave time difference skeleton parameter, and the unit is us/m; t is the temperature in degrees Celsius; p is the pressure in MPa.
Step five, acquiring longitudinal wave time difference skeleton parameters: and (3) actually detecting the temperature and the pressure of the methane gas layer, substituting the detected temperature value and pressure value into the longitudinal wave time difference skeleton parameter calculation model, and finally obtaining the longitudinal wave time difference skeleton parameter of the methane fluid in the high-temperature high-pressure reservoir.
The present invention is not limited to the preferred embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present invention.
Claims (9)
1. The methane fluid longitudinal wave time difference skeleton parameter acquisition method is characterized by comprising the following steps of:
step one, methane fluid sampling: selecting a methane fluid sample from a methane gas field well site by using a sampling instrument;
step two, obtaining a plurality of groups of test experiment data: under different temperature and pressure conditions, performing a longitudinal wave velocity measurement test on the methane fluid sample to obtain corresponding data;
step three, constructing a primary calculation model by adopting the test experimental data obtained in the step two;
step four, constructing a methane fluid longitudinal wave time difference skeleton parameter calculation model;
step five, acquiring longitudinal wave time difference skeleton parameters: and actually detecting the temperature and the pressure in the high-temperature high-pressure reservoir, substituting the detected temperature value and pressure value into a longitudinal wave time difference skeleton parameter calculation model, and finally obtaining the longitudinal wave time difference skeleton parameter of the methane fluid in the high-temperature high-pressure reservoir.
2. The method for obtaining parameters of a methane fluid longitudinal wave time difference skeleton according to claim 1, wherein in the first step, the methane gas sampling instrument is a thermal insulation pressure-maintaining in-situ fluid sampling instrument.
3. The method for obtaining the methane fluid longitudinal wave time difference skeleton parameter according to claim 1, wherein in the second step, the equipment used in the measurement test is an in-situ measuring instrument of the fluid longitudinal wave velocity.
4. The method for obtaining methane fluid longitudinal wave time difference skeleton parameters according to any one of claims 1-3, wherein in the second step, the plurality of sets of measurement test data are 20 sets.
5. The method for acquiring methane fluid longitudinal wave time difference skeleton parameters according to claim 4, wherein the 20 sets of acquired measurement test data are: for the temperature conditions of 20 ℃, 50 ℃, 100 ℃, 150 ℃ and the pressure conditions of 20MPa, 30MPa, 40MPa, 50MPa and 60MPa, any one temperature and any one pressure are selected to be matched to form corresponding environmental conditions, and the longitudinal wave velocity of methane fluid is measured in the environmental conditions, so that 20 groups of test data consisting of longitudinal wave velocity parameters, temperature parameters and pressure parameters are obtained.
6. The method for obtaining methane fluid longitudinal wave time difference skeleton parameters according to claim 5, wherein in the third step, a data fitting analysis method is used to perform parameter fitting analysis on each methane longitudinal wave velocity data, so as to obtain a primary calculation model of the methane fluid longitudinal wave velocity along with the temperature and pressure parameter changes.
7. The method for obtaining the longitudinal wave time difference skeleton parameter of the methane fluid according to claim 6, wherein in the third step, a primary calculation model of the longitudinal wave velocity of the methane fluid according to the temperature and pressure parameters is as follows:
V＝a*T 2 +b*T+c
a＝-0.00018*P 2 +0.00142*P -0.0176
b＝1.2215*ln(P)-7.1024
c＝10.921*P+388.69
v is the methane fluid longitudinal wave velocity obtained by experimental measurement, and the unit is m/s; t is the temperature in degrees Celsius; p is the pressure in MPa.
8. The method for obtaining the longitudinal wave time difference skeleton parameter of the methane fluid according to claim 6, wherein in the fourth step, the longitudinal wave velocity of the methane fluid is converted into a longitudinal wave time difference value by using the acoustic logging response principle, and a longitudinal wave time difference skeleton parameter calculation model of the longitudinal wave time difference skeleton parameter of the methane fluid, which changes along with the temperature and the pressure, is obtained.
9. The method for obtaining the longitudinal wave time difference skeleton parameter of the methane fluid according to claim 8, wherein the longitudinal wave time difference skeleton parameter calculation model is specifically as follows:
ΔT (CH4) ＝1000000*1/V
wherein DeltaT (CH4) The unit is us/m for the methane fluid longitudinal wave time difference skeleton parameter; v is the methane fluid longitudinal wave velocity in m/s.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311273005.7A CN117310812A (en) | 2023-09-27 | 2023-09-27 | Methane fluid longitudinal wave time difference skeleton parameter acquisition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311273005.7A CN117310812A (en) | 2023-09-27 | 2023-09-27 | Methane fluid longitudinal wave time difference skeleton parameter acquisition method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117310812A true CN117310812A (en) | 2023-12-29 |
Family
ID=89286207
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311273005.7A Pending CN117310812A (en) | 2023-09-27 | 2023-09-27 | Methane fluid longitudinal wave time difference skeleton parameter acquisition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117310812A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105003258A (en) * | 2015-08-07 | 2015-10-28 | 中国海洋石油总公司 | Method for acquiring density framework parameters of methane fluid in high temperature high pressure air layer |
| CN105089632A (en) * | 2015-08-04 | 2015-11-25 | 中国海洋石油总公司 | Method for obtaining CO2 fluid longitudinal wave time difference framework parameters of high-temperature and high-pressure reservoir |
| CN105114068A (en) * | 2015-09-07 | 2015-12-02 | 中国地质大学（北京） | Method of predicting high-water-yield area in coalbed methane area via logging information |
| CN105952446A (en) * | 2016-04-26 | 2016-09-21 | 中国海洋石油总公司 | Measurement method for component content of petroleum and natural gas reservoir |
| WO2017024530A1 (en) * | 2015-08-11 | 2017-02-16 | 深圳朝伟达科技有限公司 | Method for calculating content of organic carbon in hydrocarbon source rock |
| JP2020106344A (en) * | 2018-12-27 | 2020-07-09 | 日立Ｇｅニュークリア・エナジー株式会社 | Calculation method and calculation device of gas sound speed |
| CN112664186A (en) * | 2020-12-25 | 2021-04-16 | 中法渤海地质服务有限公司 | Method for early warning and identifying other high-voltage source by using methane carbon isotope data |
-
2023
- 2023-09-27 CN CN202311273005.7A patent/CN117310812A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105089632A (en) * | 2015-08-04 | 2015-11-25 | 中国海洋石油总公司 | Method for obtaining CO2 fluid longitudinal wave time difference framework parameters of high-temperature and high-pressure reservoir |
| CN105003258A (en) * | 2015-08-07 | 2015-10-28 | 中国海洋石油总公司 | Method for acquiring density framework parameters of methane fluid in high temperature high pressure air layer |
| WO2017024530A1 (en) * | 2015-08-11 | 2017-02-16 | 深圳朝伟达科技有限公司 | Method for calculating content of organic carbon in hydrocarbon source rock |
| CN105114068A (en) * | 2015-09-07 | 2015-12-02 | 中国地质大学（北京） | Method of predicting high-water-yield area in coalbed methane area via logging information |
| CN105952446A (en) * | 2016-04-26 | 2016-09-21 | 中国海洋石油总公司 | Measurement method for component content of petroleum and natural gas reservoir |
| JP2020106344A (en) * | 2018-12-27 | 2020-07-09 | 日立Ｇｅニュークリア・エナジー株式会社 | Calculation method and calculation device of gas sound speed |
| CN112664186A (en) * | 2020-12-25 | 2021-04-16 | 中法渤海地质服务有限公司 | Method for early warning and identifying other high-voltage source by using methane carbon isotope data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sharma et al. | Low-frequency distributed acoustic sensing for early gas detection in a wellbore | |
| CN103926184B (en) | Rock core gas surveys porosity detection method and detection device thereof | |
| CN108694264B (en) | Method for determining permeability of shale gas reservoir | |
| CN102220865B (en) | Method for detecting limestone formation pore pressure | |
| CN110296931B (en) | Characterization method and system for oil-water relative permeability information of tight sandstone | |
| WO2016179593A1 (en) | Full immersion pressure-pulse decay | |
| CN109138975B (en) | Novel method for solving phase-permeability characteristic curve based on time-shifting logging data | |
| CN105863626A (en) | Evaluation method for physical and chemical action of drilling fluid and shale formation | |
| CN109061099B (en) | Nondestructive experimental evaluation method for damage degree of heterogeneous compact rock | |
| CN103321634A (en) | Method for calculating stratum pressure by aid of liquid level process | |
| WO2009102526A2 (en) | Methods for the identification of bubble point pressure | |
| CN110043254B (en) | Method for obtaining stratum effective permeability based on cable stratum test data | |
| CN105003258B (en) | A kind of acquisition methods of HTHP gas-bearing formation methane stream density matrix parameter | |
| Ling et al. | Determining the permeability of tight rock with gas transient flow | |
| CN105952446A (en) | Measurement method for component content of petroleum and natural gas reservoir | |
| CN112799140B (en) | Permeability estimation method based on natural potential inversion | |
| CN108664677B (en) | Oil and gas well production data analysis method | |
| CN105089632A (en) | Method for obtaining CO2 fluid longitudinal wave time difference framework parameters of high-temperature and high-pressure reservoir | |
| CN117310812A (en) | Methane fluid longitudinal wave time difference skeleton parameter acquisition method | |
| CN112268923B (en) | Method for acquiring formation thermal conductivity based on logging curve | |
| Ling et al. | A method to determine pore compressibility based on permeability measurements | |
| Popov et al. | Evolution in information on crustal geothermal parameters due to application of advanced experimental basis | |
| Anwar et al. | Detecting and characterizing fluid leakage through wellbore flaws using fiber-optic distributed acoustic sensing | |
| CN110965992B (en) | Method for determining viscosity of stratum gas-containing crude oil | |
| CN108647417B (en) | Simple method for determining gas saturation of shale gas reservoir |
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 |