CN115199257A - Coal bed gas productivity prediction device based on measurement while drilling and use method thereof - Google Patents
Coal bed gas productivity prediction device based on measurement while drilling and use method thereof Download PDFInfo
- Publication number
- CN115199257A CN115199257A CN202210966648.9A CN202210966648A CN115199257A CN 115199257 A CN115199257 A CN 115199257A CN 202210966648 A CN202210966648 A CN 202210966648A CN 115199257 A CN115199257 A CN 115199257A
- Authority
- CN
- China
- Prior art keywords
- coal
- prediction device
- coal bed
- gas
- measurement
- 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
- 239000003245 coal Substances 0.000 title claims abstract description 101
- 238000005259 measurement Methods 0.000 title claims abstract description 29
- 238000005553 drilling Methods 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 19
- 239000011148 porous material Substances 0.000 claims abstract description 34
- 230000006866 deterioration Effects 0.000 claims abstract description 23
- 230000035699 permeability Effects 0.000 claims abstract description 19
- 239000007788 liquid Substances 0.000 claims abstract description 10
- 239000011435 rock Substances 0.000 claims description 23
- 230000015572 biosynthetic process Effects 0.000 claims description 21
- 238000001514 detection method Methods 0.000 claims description 21
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 239000011159 matrix material Substances 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 6
- 230000000149 penetrating effect Effects 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 abstract description 7
- 230000008901 benefit Effects 0.000 abstract description 5
- 238000011161 development Methods 0.000 abstract description 4
- 238000005065 mining Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 45
- 238000013178 mathematical model Methods 0.000 description 6
- 238000000605 extraction Methods 0.000 description 5
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 230000000704 physical effect Effects 0.000 description 3
- 239000012530 fluid Substances 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000002441 X-ray diffraction Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005251 gamma ray Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 239000005416 organic matter Substances 0.000 description 1
Images
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
- E21B47/00—Survey of boreholes 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
- 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
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a coal bed gas productivity prediction device based on measurement while drilling, which comprises a prediction device body, wherein two ends of the prediction device body are respectively connected with a drill rod and a drill bit, and a solid-liquid shunt pipeline, a main stratum pore pressure sensor, a lithology measuring sensor, a coal bed thickness measuring device, a gas-containing range detecting device, a resistivity detecting device, a coal deterioration coefficient measuring sensor, a porosity detecting device, a permeability measuring sensor, an auxiliary stratum pore pressure sensor, a geological structure analyzing device, a chip and a central processor are embedded in the prediction device body; both ends of the solid-liquid shunting pipeline are provided with threads. The invention can measure while drilling, and reduce the process flow; the method improves the economic benefit of coal bed gas development, reduces the gas outburst risk in the coal mining process, and can be widely applied to the technical field of coal bed gas.
Description
Technical Field
The invention relates to the field of coal bed gas development, in particular to a coal bed gas productivity prediction device based on measurement while drilling and a use method thereof.
Background
The ground extraction of the coal bed gas is an important means for preventing and controlling gas disasters and an important way for guaranteeing national natural gas supply. The accurate prediction of the coal bed gas productivity is the key for obtaining extraction benefits, but the coal bed gas ground extraction generally needs technical processes of well drilling, well completion, well logging, trial production and the like, and the early investment is high, so that the benefit productivity is often difficult to obtain. Therefore, if the coal bed gas productivity can be predicted while drilling in the drilling process, and whether subsequent processes such as well completion, well logging, production string descending and the like are carried out or not is determined according to the prediction result, the economic risk of the coal bed gas ground extraction project is obviously reduced.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the economic risk of controlling the conventional ground extraction process flow, and provides a coal bed gas productivity prediction device based on measurement while drilling and a use method thereof, wherein the coal bed gas productivity prediction device comprises the following steps: basic parameters for predicting the coal bed gas production capacity comprise lithology, coal bed thickness, matrix porosity (microcrack development degree), formation pore pressure, coal metamorphism degree (organic matter type, abundance and maturity), gas-water occurrence state (gas saturation and gas-water distribution condition), reservoir capacity and permeability (single-phase seepage characteristic and multiphase seepage characteristic); on the basis of measuring the geological parameters while drilling, predicting the productivity of the coal bed gas through a mathematical model; the mathematical model comprises the establishment and the solution of a coal bed gas seepage mathematical model, the establishment of a coal rock reservoir single well matrix-fracture geological model, the measurement and the prediction and the evaluation of the coal bed gas-productivity; the method comprises the following steps that a coal bed gas seepage mathematical model establishes a motion equation according to the classic Darcy's law, reservoir fluid physical property measurement and recording parameters are fitted and processed, and finally the coal bed gas seepage mathematical model is established and solved; selecting typical reservoir matrix physical property parameters according to the reservoir physical property evaluation data of the coal seam reservoir single well matrix-fracture geological model, and comprehensively considering fracture morphology to establish a single well layered matrix-fracture geological model; the procedure for measuring, recording, predicting and evaluating the productivity of the coal bed gas is to perform layered transverse sectioning on a single-well geological model, observe the dynamic distribution of fluid parameters of each phase, further clarify the pressure wave and sequence, the range for the coal bed gas utilization and the macroscopic migration rule in the production process, and further evaluate and predict the productivity of the coal bed gas.
In order to solve the technical problems, the technical scheme provided by the invention is a coal bed gas productivity prediction device based on measurement while drilling: the device comprises a prediction device body, wherein two ends of the prediction device body are respectively connected with a drill rod and a drill bit, and a solid-liquid flow distribution pipeline, a main stratum pore pressure sensor, a lithology determination sensor, a coal seam thickness measurement device, a gas-containing range detection device, a resistivity detection device, a coal deterioration coefficient measurement sensor, a porosity detection device, a permeability measurement sensor, an auxiliary stratum pore pressure sensor, a geological structure analysis device, a chip and a central processor are embedded in the prediction device body; measuring longitudinal wave and transverse wave speeds of the stratum by a stratum pore pressure sensor, and predicting the stratum pore pressure; the lithology measuring sensor determines lithology by measuring element differences in different rocks; the coal seam thickness measuring device determines the thickness of the coal seam by detecting the radiation intensity of natural gamma rays in rocks penetrating the coal seam; the gas-containing range detection device calculates the gas-containing range by measuring the neutron background value of the coal bed gas layer; the resistivity detection device is used for determining the gas-water saturation in the coal bed; a coal deterioration coefficient measuring sensor measures the coal deterioration coefficient to further obtain the coal deterioration degree; the porosity detection device is used for measuring the porosity of the matrix; permeability measurement sensors apply the Kozeny equation and determine permeability by measuring formation pore stress; the geological structure analysis device determines the geological characteristics and logging response characteristics of each interface by using the existing rock core on site;
both ends of the solid-liquid shunting pipeline are provided with threads.
As an improvement, the formation pore pressure sensor is arranged at one end of the prediction device body far away from the drill bit; the formation pore pressure sensor is arranged at one end of the prediction device body close to the drill rod.
As an improvement, the distance between the prediction device body and the drill bit is 0.1-0.5 m.
A use method of a coal bed gas productivity prediction device based on measurement while drilling at least comprises the following steps:
(1) Connecting the prediction device body with the flexible connector and the drill rod through threads, and enabling the prediction device body and the drill bit to rotate together;
(2) Measuring longitudinal wave and transverse wave speeds of the stratum by a stratum pore pressure sensor, and predicting the stratum pore pressure;
(3) The lithology measuring sensor determines lithology by measuring element difference in different rocks; the coal seam thickness measuring device determines the thickness of the coal seam by detecting the radiation intensity of natural gamma rays in rocks penetrating the coal seam;
(4) The gas-containing range detection device calculates the gas-containing range by measuring the neutron background value of the coal bed gas layer; the resistivity detection device is used for determining the gas-water saturation in the coal bed; a coal deterioration coefficient measuring sensor measures the coal deterioration coefficient to further obtain the coal deterioration degree; the porosity detection device is used for measuring the porosity of the matrix; permeability measurement sensors use the Kozeny equation (rock permeability is closely related to the stress state of the rock, permeability and porosity of the rock generally have no functional relationship, and have a certain statistical rule, and the widely used Kozeny equation explains the relationship,
k is rock permeability,. Psi. 0 Is a dimensionless constant, the value is 2-3) and the permeability is determined by measuring the pore stress of the stratum;
(5) The geological structure analysis device determines geological features and logging response features of each interface by utilizing existing rock cores on site;
(6) And (5) respectively transmitting the acquired geological information to a central processor by the instrument devices in the steps (2) to (5), and calculating the productivity of the coal bed gas by the central processor through a built-in program in a chip.
Compared with the prior art, the invention has the advantages that:
measurement while drilling is carried out, so that the process flow is reduced;
the method is beneficial to improving the economic benefit of coal bed gas development and reducing the gas outburst risk in the coal mining process.
Drawings
Fig. 1 is a schematic view showing the installation of the prediction apparatus body.
Fig. 2 is a partially enlarged view of a portion a in fig. 1.
Fig. 3 is a partially enlarged view at B in fig. 1.
Fig. 4 is a partially enlarged view at C in fig. 1.
As shown in the figure: 1. the device comprises a prediction device body, 2, a drill bit, 3, a flexible connector, 4, a main stratum pore pressure sensor, 5, a solid-liquid shunt pipeline, 6, an auxiliary stratum pore pressure sensor, 7, a drill rod, 8, a lithology measuring sensor, 9, a coal seam thickness measuring device, 10, a gas-containing range detecting device, 11, a resistivity detecting device, 12, a coal deterioration coefficient measuring sensor, 13, a porosity detecting device, 14, a permeability measuring sensor, 15, a solid-liquid shunt pipeline, 16, a chip, 17 and a central processor
Detailed Description
The coal bed gas productivity prediction device based on measurement while drilling and the use method thereof are further described in detail with reference to the attached drawings 1-4.
With reference to the accompanying drawings 1-4, the coal bed gas productivity prediction device based on measurement while drilling comprises a prediction device body 1, wherein two ends of the prediction device body 1 are respectively connected with a drill rod 7 and a drill bit 2, a solid-liquid shunt pipeline 5, a main stratum pore pressure sensor 4, a lithology measuring sensor 8, a coal bed thickness measuring device 9, a gas range detecting device 10, a resistivity detecting device 11, a coal deterioration coefficient measuring sensor 12, a porosity detecting device 13, a permeability measuring sensor 14, an auxiliary stratum pore pressure sensor 6, a geological structure analyzing device 15 and a chip 16 central processor 17 are embedded in the prediction device body 1; the formation pore pressure sensor 6 adopts a while-drilling acoustic measurement sensor to measure the longitudinal wave and transverse wave speeds of the formation in real time and predict the formation pore pressure; the lithology measuring sensor 8 is a gamma ray sensor while drilling, and is used for measuring the difference of elements in different rocks so as to measure the lithology; the coal seam thickness measuring device 9 determines the thickness of the coal seam by utilizing the characteristic that the attenuation of the radiation intensity of natural gamma rays existing in the rock stratum after passing through the coal seam has a functional relationship with the thickness of the coal seam; the coal deterioration coefficient measuring sensor 12 is an X-ray diffraction sensor, and measures the coal deterioration coefficient to obtain the coal deterioration degree; and both ends of the solid-liquid shunt pipeline 5 are provided with threads.
The main stratum pore pressure sensor 4 is arranged at one end of the prediction device body 1 far away from the drill bit 2; and a secondary formation pore pressure sensor 6 is arranged at one end of the prediction device body 1 close to the drill rod.
The distance between the prediction device body 1 and the drill 2 is 0.1 to 0.5m.
A use method of the coal bed gas productivity prediction device based on measurement while drilling at least comprises the following steps:
(1) The prediction device body 1 is connected with the flexible connector 3 and the drill rod 7 through threads, the prediction device body 1 and the drill bit 2 rotate together, and the drill bit 21 is a tricone bit or a PDC drill bit;
(2) The primary and secondary formation pore pressure sensors measure longitudinal wave and transverse wave speeds of the formation and predict formation pore pressure;
(3) The lithology measuring sensor 8 determines lithology by measuring element differences in different rocks; the coal seam thickness measuring device 9 determines the coal seam thickness by detecting the radiation intensity of natural gamma rays in rocks penetrating the coal seam;
(4) The gas-containing range detection device 10 calculates the gas-containing range by measuring the neutron background value of the coal bed gas layer; the resistivity detection device 11 is used for determining the gas-water saturation in the coal bed; the coal deterioration coefficient measuring sensor 12 measures the coal deterioration coefficient to obtain the coal deterioration degree; the porosity detection device 13 measures the porosity of the matrix; the permeability measurement sensor 14 applies the Kozeny equation and determines permeability by measuring formation pore stress;
(5) The geological structure analysis device 15 determines the geological characteristics and logging response characteristics of each interface by using the existing rock core on site;
(6) The instrument devices in the steps (2) to (5) respectively transmit the acquired geological information to the central processor 17, and the central processor 17 calculates the productivity of the coal bed gas through a built-in program in the chip 16; the built-in program comprises the establishment and the solution of a coal bed gas seepage mathematical model, the establishment of a coal rock reservoir single well matrix-fracture geological model, and the measurement and recording prediction and the evaluation of coal bed gas-productivity.
When the prediction device is implemented specifically, the prediction device body 1 is connected with the flexible connector 3 and the drill rod 7 through threads, the prediction device body 1 and the drill bit 2 rotate together, and the drill bit 21 is a tricone bit or a PDC drill bit; the primary and secondary formation pore pressure sensors measure longitudinal wave and transverse wave speeds of the formation and predict formation pore pressure; the lithology measuring sensor 8 determines lithology by measuring element differences in different rocks; the coal seam thickness measuring device 9 determines the coal seam thickness by detecting the radiation intensity of natural gamma rays in rocks penetrating the coal seam; the gas-containing range detection device 10 calculates the gas-containing range by measuring the neutron background value of the coal bed gas layer; the resistivity detection device 11 is used for determining the gas-water saturation in the coal bed; the coal deterioration coefficient measuring sensor 12 measures the coal deterioration coefficient to obtain the coal deterioration degree; the porosity detection device 13 measures the porosity of the matrix; the permeability measurement sensor 14 applies the Kozeny equation and determines permeability by measuring formation pore stress; the geological structure analysis device 15 determines geological features and logging response features of each interface by using existing rock cores on site; the instrument transmits the acquired geological information to the central processor 17, and the central processor 17 calculates the coalbed methane productivity through a built-in program in the chip 16.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should be able to conceive of the present invention without creative design of the similar structural modes and embodiments without departing from the spirit of the present invention, and all such modifications should fall within the protection scope of the present invention.
Claims (4)
1. The utility model provides a coal bed gas productivity prediction device based on measurement while drilling which characterized in that: the device comprises a prediction device body, wherein two ends of the prediction device body are respectively connected with a drill rod and a drill bit, and a solid-liquid flow distribution pipeline, a main stratum pore pressure sensor, a lithology determination sensor, a coal seam thickness measurement device, a gas-containing range detection device, a resistivity detection device, a coal deterioration coefficient measurement sensor, a porosity detection device, a permeability measurement sensor, an auxiliary stratum pore pressure sensor, a geological structure analysis device, a chip and a central processor are embedded in the prediction device body; and both ends of the solid-liquid shunting pipeline are provided with threads.
2. The measurement-while-drilling-based coalbed methane productivity prediction device as claimed in claim 1, wherein: the main stratum pore pressure sensor is arranged at one end of the prediction device body far away from the drill bit; the secondary formation pore pressure sensor is arranged at one end, close to the drill rod, of the prediction device body.
3. The device for predicting the productivity of the coal bed gas based on measurement while drilling according to claim 2, wherein the distance between the body of the prediction device and the drill bit is 0.1-0.5 m.
4. The use method of the coal bed methane productivity prediction device based on measurement while drilling according to any one of claims 1-3, characterized by comprising at least the following steps:
(1) Connecting the prediction device body with the flexible connector and the drill rod through threads, and enabling the prediction device body and the drill bit to rotate together;
(2) The primary and secondary formation pore pressure sensors measure longitudinal wave and transverse wave speeds of the formation and predict formation pore pressure;
(3) The lithology measuring sensor determines lithology by measuring element difference in different rocks; the coal seam thickness measuring device determines the thickness of the coal seam by detecting the radiation intensity of natural gamma rays in rocks penetrating the coal seam;
(4) The gas-containing range detection device calculates the gas-containing range by measuring the neutron background value of the coal bed gas layer; the resistivity detection device is used for determining the gas-water saturation in the coal bed; a coal deterioration coefficient measuring sensor measures the coal deterioration coefficient to further obtain the coal deterioration degree; the porosity detection device is used for measuring the porosity of the matrix; permeability measurement sensors apply the Kozeny equation and determine permeability by measuring formation pore stress;
(5) The geological structure analysis device determines the geological characteristics and logging response characteristics of each interface by using the existing rock core on site;
(6) And (5) respectively transmitting the acquired geological information to a central processor by the instrument devices in the steps (2) to (5), and calculating the coal bed methane productivity by the central processor through a built-in program in a chip.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210966648.9A CN115199257A (en) | 2022-08-12 | 2022-08-12 | Coal bed gas productivity prediction device based on measurement while drilling and use method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210966648.9A CN115199257A (en) | 2022-08-12 | 2022-08-12 | Coal bed gas productivity prediction device based on measurement while drilling and use method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115199257A true CN115199257A (en) | 2022-10-18 |
Family
ID=83586345
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210966648.9A Pending CN115199257A (en) | 2022-08-12 | 2022-08-12 | Coal bed gas productivity prediction device based on measurement while drilling and use method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115199257A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096249A (en) * | 2016-06-02 | 2016-11-09 | 中国石油大学(北京) | A kind of method for quantitatively evaluating of Fractured oil and gas reservoir |
| CN107130959A (en) * | 2017-05-24 | 2017-09-05 | 中国海洋石油总公司 | A kind of methane output Forecasting Methodology |
| CN107145696A (en) * | 2017-06-29 | 2017-09-08 | 中国石油大学(北京) | A kind of analogy method of coal bed gas above and below ground couple solution |
| CN107201893A (en) * | 2017-07-28 | 2017-09-26 | 中国矿业大学 | A kind of multiple seam gas well throughput contribution rate test grading device |
| CN113107361A (en) * | 2021-05-28 | 2021-07-13 | 山东科技大学 | Coal bed gas guiding well drilling measurement and control device and method thereof |
| CN113530523A (en) * | 2021-07-12 | 2021-10-22 | 华北科技学院(中国煤矿安全技术培训中心) | Coal bed gas drilling while drilling instrument |
-
2022
- 2022-08-12 CN CN202210966648.9A patent/CN115199257A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106096249A (en) * | 2016-06-02 | 2016-11-09 | 中国石油大学(北京) | A kind of method for quantitatively evaluating of Fractured oil and gas reservoir |
| CN107130959A (en) * | 2017-05-24 | 2017-09-05 | 中国海洋石油总公司 | A kind of methane output Forecasting Methodology |
| CN107145696A (en) * | 2017-06-29 | 2017-09-08 | 中国石油大学(北京) | A kind of analogy method of coal bed gas above and below ground couple solution |
| CN107201893A (en) * | 2017-07-28 | 2017-09-26 | 中国矿业大学 | A kind of multiple seam gas well throughput contribution rate test grading device |
| CN113107361A (en) * | 2021-05-28 | 2021-07-13 | 山东科技大学 | Coal bed gas guiding well drilling measurement and control device and method thereof |
| CN113530523A (en) * | 2021-07-12 | 2021-10-22 | 华北科技学院(中国煤矿安全技术培训中心) | Coal bed gas drilling while drilling instrument |
Non-Patent Citations (1)
| Title |
|---|
| 刘之的;杨秀春;陈彩红;张继坤;: "鄂东气田煤层气储层测井综合评价方法研究", 测井技术, no. 03, 20 June 2013 (2013-06-20), pages 289 - 293 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106761677B (en) | Logging prediction method for single-well productivity of shale gas horizontal well | |
| CN102220865B (en) | Method for detecting pore pressure of limestone formation | |
| CN103334739B (en) | A kind of method and device of measuring coal-bed gas pressure | |
| CN110043254B (en) | Method for obtaining stratum effective permeability based on cable stratum test data | |
| WO2018103325A1 (en) | Sound level meter-based measurement while drilling device and method for obtaining protodikonov's hardness coefficient of rock of tunnel roof | |
| CN102565112A (en) | Method for measuring and calculating free gas content in coal bed gas | |
| CN111444461B (en) | Method for predicting grade of surrounding rock large-deformation disaster under high water pressure | |
| CN112504838B (en) | TBM-loaded rock mechanics comprehensive test and information evaluation system | |
| CN104153768A (en) | Granite reservoir stratum reservoir performance evaluation method | |
| WO2012006871A1 (en) | Method of prospecting directly for free gas in stratum | |
| Ma et al. | Simulation and interpretation of the pressure response for formation testing while drilling | |
| CN105931125A (en) | Method for predicting yield of compact oil staged multi-cluster volume fracturing horizontal well | |
| Santarelli et al. | Determination of the mechanical properties of deep reservoir sandstones to assess the likelyhood of sand production | |
| Zhao et al. | [Retracted] A Simple and Accurate Interpretation Method of In Situ Stress Measurement Based on Rock Kaiser Effect and Its Application | |
| CN109061729B (en) | A kind of high temperature and pressure gas reservoir gassiness sensitivity curve reconstructing method | |
| CN112412434B (en) | Improved loose sandstone ground stress calculation method | |
| CN116658157B (en) | Stratum pressure prediction method and system for tight sandstone gas reservoir | |
| CN115199257A (en) | Coal bed gas productivity prediction device based on measurement while drilling and use method thereof | |
| Wold et al. | A comparison of coal seam directional permeability as measured in laboratory core tests and in well interference tests | |
| KR101818098B1 (en) | Method for estimating volume of clay in rocks | |
| CN113777668A (en) | Geostress calculation method and device for tight gas reservoir of sand-shale interbed | |
| Bianchi et al. | Pressure Measurements Challenges in Low Permeability Reservoirs of Neuquén Basin, Argentina | |
| CN110793858B (en) | Method for measuring bedding mechanical parameters in rock mass | |
| CN113153285B (en) | Calculation method for water-rich electrical property evaluation standard of surrounding rock of coal bed | |
| CN114495432B (en) | Monitoring and early warning method for hydrogen-containing fluid disasters of coal seam roof and floor |
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 |