CN111088974A - Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well - Google Patents
Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well Download PDFInfo
- Publication number
- CN111088974A CN111088974A CN201911202130.2A CN201911202130A CN111088974A CN 111088974 A CN111088974 A CN 111088974A CN 201911202130 A CN201911202130 A CN 201911202130A CN 111088974 A CN111088974 A CN 111088974A
- Authority
- CN
- China
- Prior art keywords
- well
- pressure
- well testing
- testing
- low
- 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.)
- Granted
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 37
- 238000012937 correction Methods 0.000 title claims abstract description 32
- 238000012360 testing method Methods 0.000 claims abstract description 143
- 238000000034 method Methods 0.000 claims abstract description 15
- 238000013461 design Methods 0.000 claims abstract description 14
- 238000006243 chemical reaction Methods 0.000 claims abstract description 13
- 238000004088 simulation Methods 0.000 claims description 34
- 238000011084 recovery Methods 0.000 claims description 20
- 238000004519 manufacturing process Methods 0.000 claims description 7
- 230000003068 static effect Effects 0.000 claims description 5
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000007789 gas Substances 0.000 abstract description 40
- 230000000694 effects Effects 0.000 abstract description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 abstract description 4
- 239000003345 natural gas Substances 0.000 abstract description 2
- 238000009795 derivation Methods 0.000 abstract 1
- 230000035699 permeability Effects 0.000 description 3
- 230000002194 synthesizing effect Effects 0.000 description 2
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000012546 transfer Methods 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)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a productivity evaluation method for determining unstable flowing pressure correction of a low-permeability gas well, and relates to the technical field of natural gas exploitation. The key point of the technical scheme is that a prediction model is constructed by directly utilizing parameters capable of reflecting real information of a shaft and a stratum of the low-permeability gas well, the design can be repeatedly modified for correcting the isochronous well testing process, the field actual productivity testing process is simulated, and the optimal evaluation effect is achieved. The method does not need complicated and complex formula derivation, can realize flow conversion and capacity evaluation in the same software platform, and has the advantages of high evaluation speed, simple operation and easy popularization.
Description
Technical Field
The invention relates to the technical field of natural gas exploitation, in particular to a capacity evaluation method for determining unstable flowing pressure correction of a low-permeability gas well.
Background
The low-permeability gas well has poor reservoir physical property, low-porosity and low-permeability characteristics, and has the advantages of fast well opening flow pressure drop and slow well closing pressure recovery in the testing and production processes; therefore, the productivity test of the low-permeability gas well generally adopts isochronous well testing or correction isochronous well testing. The isochronous well testing or correcting isochronous well testing has complex testing process, more flows and long testing time, and requires stable extension testing flow pressure and yield in the isochronous well testing and correcting isochronous well testing and stable recovery of well closing pressure; however, in actual operation, the production capacity test is sometimes difficult to realize, and the production capacity test is directly carried out on site by using a conventional back pressure test well. The flow pressure of each working system of the back pressure test well is unstable due to the frequent effects of stress sensitivity, starting pressure gradient, high speed non-Darcy and the like of the low-permeability gas well, and the correction is carried out without prolonging the test stable point, so that the yield evaluation result of the low-permeability gas well has larger difference with the actual result. In order to solve the problem, the method in the prior art starts from a seepage differential equation, and converts a back pressure well test into a correction isochronous well test for capacity evaluation; however, the method needs interpreters to have deeper theoretical work bases, is poor in field application and popularization, and consumes long time for capacity evaluation.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention provides a capacity evaluation method for determining unstable flow pressure correction of a low-permeability gas well. According to the method, the current commercial well testing software is used for explaining the pressure recovery testing section of the final shut-in well of the back pressure well testing to obtain the related parameters of the low-permeability gas well, and the back pressure well testing is converted into the corrected isochronous well testing according to the parameters to evaluate the productivity. The productivity evaluation method provided by the invention has the advantages of high speed, simplicity in operation and easiness in popularization.
In order to solve the problems in the prior art, the invention is realized by the following technical scheme:
the productivity evaluation method for determining unstable flowing pressure correction of the low-permeability gas well is characterized by comprising the following steps of: the method comprises the following steps:
s1, well testing interpretation step: interpreting a back pressure well testing final shut-in pressure recovery testing section by adopting commercial well testing software to obtain related parameters of a gas well shaft and a stratum;
s2, flow conversion step: through a well testing design module of commercial well testing software, keeping a back pressure well testing working system unchanged, performing correction isochronous well testing conversion, and adding a well closing pressure recovery test equal to the back pressure well testing working system after each working system for the first N-1 back pressure working systems, and adding an extension test after the Nth back pressure working system;
s3, simulation testing: acquiring related parameters of a wellbore and a stratum of the gas well obtained in the step S1 through a well testing design module of commercial well testing software, performing simulation prediction on the conversion design in the step S2 based on the acquired parameters, observing, analyzing and judging whether the extended test bottom hole flowing pressure simulation curve is stable or not, and if not, adjusting the extended test time and then performing simulation prediction until the extended test bottom hole flowing pressure simulation curve is stable;
s4, capacity evaluation step: through a correction isochronous well testing productivity evaluation module of commercial well testing software, a simulated flow pressure value, a simulated shut-in pressure recovery value and a gas production rate of each working system of the corrected isochronous well testing are selected, an IPR curve is automatically generated, and the unimpeded flow of the gas well is obtained.
Further, in the step S1, the gas well reservoir thickness, porosity, water saturation, gas relative density, formation pressure temperature, back pressure well testing operating system and bottom hole pressure data are input into commercial well testing software; and (3) accurately selecting a well testing model by integrating static and dynamic data to explain the pressure recovery testing section of the final shut-in well, and obtaining related parameters of a gas well shaft, a stratum and the like.
Furthermore, in the step S2, the testing working system is extended to retrieve the intermediate value of the well testing working system, and the testing time is extended to temporarily set an initial value for designing.
Furthermore, Saphir well testing software is selected as the commercial well testing software.
Further, whether the extended test bottom hole flowing pressure simulation curve is stable or not is observed and analyzed, specifically, if the pressure value change within the test time is not more than 0.5%, the extended test bottom hole flowing pressure simulation curve is considered to be stable.
In the simulation test step, the Saphir software carries out simulation prediction according to the related parameters of the shaft and the stratum explained in the S1, the simulation prediction is the function of the software, and the related parameters of the shaft and the stratum are accurately selected and explained by an interpreter through synthesizing static and dynamic data.
The productivity evaluation module comprises a back pressure well testing module, an isochronous well testing module and a correction isochronous well testing module, and the back pressure well testing module is converted into the correction isochronous well testing module in the previous step, so that the correction isochronous well testing module is selected for evaluation; it is worth noting that the shut-in pressure values corresponding to the 4 th working system and the extension test are all the final shut-in pressure recovery analog values pws4。
Compared with the prior art, the beneficial technical effects brought by the application are shown in that:
1. compared with the prior art, the method has the innovation points that a prediction model is constructed by directly utilizing parameters capable of reflecting real information of a gas well shaft and a stratum, back pressure well testing is converted into correction isochronous well testing, the field actual productivity testing process is simulated, and the best evaluation effect is achieved.
2. The invention has been applied to the carbonate rock reservoir low-permeability gas well of the earth cushman army river right bank comprehensively, and the capacity of 10 low-permeability gas wells is accurately realized by about 350 ten thousand square/day. The successful application of the method in the right bank of the Amy river shows that the method has stronger applicability in the evaluation of the productivity of the low-permeability gas well and has wide popularization and application prospects.
3. And (3) simulating and predicting productivity test by using the well test interpretation parameters, wherein the well test interpretation parameters are real reflection of shaft and stratum information of the low-permeability gas well, and the model constructed by the method can accurately predict the productivity of the low-permeability gas well. And repeatedly adjusting the extension test time to ensure that a stable point appears on the extension test bottom hole flow pressure simulation curve, and correcting the intercept of the productivity curve by using the stable point to accurately obtain the productivity of the low permeability gas well.
Drawings
FIG. 1 is a flow chart of the evaluation of unstable flowing pressure corrected productivity of a low-permeability gas well according to the invention;
FIG. 2 is a schematic diagram of the transfer of the productivity test process of the low permeability gas well of the present invention.
Detailed Description
The technical scheme of the invention is further elaborated in the following by combining the drawings in the specification.
Example 1
Referring to the attached fig. 1 and 2, the present embodiment discloses:
the capacity evaluation method for determining the unstable flowing pressure correction of the low-permeability gas well comprises the following steps of:
s1, well testing interpretation step: interpreting a back pressure well testing final shut-in pressure recovery testing section by adopting commercial well testing software to obtain related parameters of a gas well shaft and a stratum;
s2, flow conversion step: through a well testing design module of commercial well testing software, keeping a back pressure well testing working system unchanged, performing correction isochronous well testing conversion, and adding a well closing pressure recovery test equal to the back pressure well testing working system after each working system for the first N-1 back pressure working systems, and adding an extension test after the Nth back pressure working system;
s3, simulation testing: acquiring related parameters of a wellbore and a stratum of the gas well obtained in the step S1 through a well testing design module of commercial well testing software, performing simulation prediction on the conversion design in the step S2 based on the acquired parameters, observing, analyzing and judging whether the extended test bottom hole flowing pressure simulation curve is stable or not, and if not, adjusting the extended test time and then performing simulation prediction until the extended test bottom hole flowing pressure simulation curve is stable;
s4, capacity evaluation step: selecting a simulation flow pressure value (p) under each working system of the corrected isochronous well test through a corrected isochronous well test productivity evaluation module of commercial well test softwarewf1、pwf2、pwf3、pwf4、pwf5The values are shown in figure 2), and the simulated shut-in pressure recovery value (p)ws1、pws2、pws3、pws4、pws4Values are shown in figure 2), and the gas production (q) of each working system1、q2、q3、q4、q5And the values are shown in the attached figure 2), software automatically generates an IPR curve, and the unimpeded flow of the gas well is obtained. The productivity evaluation module comprises a back pressure well testing module, an isochronous well testing module and a correction isochronous well testing module, and the back pressure well testing module is converted into the correction isochronous well testing module in the previous step, so that the correction isochronous well testing module is selected for evaluation; it is worth noting that the shut-in pressure values corresponding to the 4 th working system and the extension test are all the final shut-in pressure recovery analog values pws4。
Example 2
Referring to the attached drawings 1 and 2 of the specification, the embodiment discloses as a further preferred embodiment of the invention:
the capacity evaluation method for determining the unstable flowing pressure correction of the low-permeability gas well comprises the following steps of:
s1, well testing explanation: inputting the thickness, porosity, water saturation, gas relative density, formation pressure temperature, back pressure well testing working system, bottom hole pressure data and the like of a gas well reservoir into commercial well testing software such as Saphir and the like; accurately selecting a well testing model by integrating static and dynamic data to explain a final shut-in well pressure recovery testing section to obtain related parameters such as a gas well shaft, a stratum and the like;
s2, flow conversion: transferring to a commercial well testing software well testing design module, keeping a back pressure well testing working system unchanged, and performing correction isochronous well testing conversion; for the first N-1 back pressure working systems, a well closing pressure recovery test equal to the back pressure well testing working system is added after each working system, and for the Nth back pressure working system, an extension test is added after the Nth back pressure working system;
s3, simulation test: the well test design module automatically acquires relevant parameters of the gas well, carries out simulation prediction on the conversion design based on the parameters, and observes, analyzes and prolongs whether a test bottom hole flow pressure simulation curve is stable or not (the pressure change in the test time is not more than 0.5 percent and is considered to be stable); if the simulation curve is unstable, the extension test time is adjusted and then simulation prediction is carried out until the extension test bottom hole flowing pressure simulation curve is stable; repeatedly adjusting the extension test time to ensure that a stable point appears on the extension test bottom hole flow pressure simulation curve, and correcting the intercept of the productivity curve by using the stable point to accurately obtain the productivity of the low permeability gas well; description of the drawings: the Saphir software carries out simulation prediction according to the related parameters of the shaft and the stratum explained in the S1, the simulation prediction is the function of the software, and the related parameters of the shaft and the stratum are accurately selected and explained by an interpreter through synthesizing static and dynamic data;
s4, capacity evaluation step: selecting a simulation flow pressure value (p) under each working system of the corrected isochronous well test through a corrected isochronous well test productivity evaluation module of commercial well test softwarewf1、pwf2、pwf3、pwf4、pwf5The values are shown in figure 2), and the simulated shut-in pressure recovery value (p)ws1、pws2、pws3、pws4、pws4Values are shown in figure 2), and the gas production (q) of each working system1、q2、q3、q4、q5And the values are shown in the attached figure 2), software automatically generates an IPR curve, and the unimpeded flow of the gas well is obtained. Description of the drawings: the productivity evaluation module comprises a back pressure well testing module, an isochronous well testing module and a correction isochronous well testing module, and the back pressure well testing module is converted into the correction isochronous well testing module in the previous step, so that the correction isochronous well testing module is selected for evaluation; it is worth noting that the shut-in pressure values corresponding to the 4 th working system and the extension test are all the final shut-in pressure recovery analog values pws4。
Claims (5)
1. The productivity evaluation method for determining unstable flowing pressure correction of the low-permeability gas well is characterized by comprising the following steps of: the method comprises the following steps:
s1, well testing interpretation step: interpreting a back pressure well testing final shut-in pressure recovery testing section by adopting commercial well testing software to obtain related parameters of a gas well shaft and a stratum;
s2, flow conversion step: through a well testing design module of commercial well testing software, keeping a back pressure well testing working system unchanged, performing correction isochronous well testing conversion, and adding a well closing pressure recovery test equal to the back pressure well testing working system after each working system for the first N-1 back pressure working systems, and adding an extension test after the Nth back pressure working system;
s3, simulation testing: acquiring related parameters of a wellbore and a stratum of the gas well obtained in the step S1 through a well testing design module of commercial well testing software, performing simulation prediction on the conversion design in the step S2 based on the acquired parameters, observing, analyzing and judging whether the extended test bottom hole flowing pressure simulation curve is stable or not, and if not, adjusting the extended test time and then performing simulation prediction until the extended test bottom hole flowing pressure simulation curve is stable;
s4, capacity evaluation step: through a correction isochronous well testing productivity evaluation module of commercial well testing software, a simulated flow pressure value, a simulated shut-in pressure recovery value and a gas production rate of each working system of the corrected isochronous well testing are selected, an IPR curve is automatically generated, and the unimpeded flow of the gas well is obtained.
2. The capacity evaluation method for determining an unstable flow pressure correction for a low-permeability gas well of claim 1, wherein: in the step of S1, inputting the thickness, porosity, water saturation, gas relative density, formation pressure and temperature, back pressure well testing working system and bottom pressure data of a gas well reservoir into commercial well testing software; and (3) accurately selecting a well testing model by integrating static and dynamic data to explain the pressure recovery testing section of the final shut-in well, and obtaining related parameters of a gas well shaft, a stratum and the like.
3. The capacity evaluation method for determining an unstable flow pressure correction for a low-permeability gas well according to claim 1 or 2, wherein: in the step S2, the test working system is extended to retrieve the intermediate value of the well testing working system, and the test time is extended to temporarily set an initial value for design.
4. The capacity evaluation method for determining an unstable flow pressure correction for a low-permeability gas well according to claim 1 or 2, wherein: and the commercial well testing software adopts Saphir well testing software.
5. The capacity evaluation method for determining an unstable flow pressure correction for a low-permeability gas well according to claim 1 or 2, wherein: and observing and analyzing whether the extended test bottom hole flowing pressure simulation curve is stable, specifically, if the pressure change in the test time is not more than 0.5%, the extended test bottom hole flowing pressure simulation curve is considered to be stable.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911202130.2A CN111088974B (en) | 2019-11-29 | 2019-11-29 | Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911202130.2A CN111088974B (en) | 2019-11-29 | 2019-11-29 | Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111088974A true CN111088974A (en) | 2020-05-01 |
| CN111088974B CN111088974B (en) | 2022-03-29 |
Family
ID=70393357
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911202130.2A Active CN111088974B (en) | 2019-11-29 | 2019-11-29 | Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111088974B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112922590A (en) * | 2021-02-26 | 2021-06-08 | 中国石油天然气集团有限公司 | Method for evaluating gas well productivity through index correction based on abnormal productivity well testing data |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012083068A2 (en) * | 2010-12-16 | 2012-06-21 | Bp Corporation North America Inc. | Method of determining reservoir pressure |
| US20140083687A1 (en) * | 2012-09-27 | 2014-03-27 | Schlumberger Technology Corporation | Production in fractured systems |
| CN104612658A (en) * | 2014-11-25 | 2015-05-13 | 中国石油大学(北京) | Well test analysis control system and method used for horizontal well subsection liquid producing identification |
| CN105781262A (en) * | 2014-12-16 | 2016-07-20 | 中国石油化工股份有限公司 | Well deliverability testing method |
| CN106869917A (en) * | 2017-03-24 | 2017-06-20 | 中国石油集团川庆钻探工程有限公司 | Based on the evaluating production capacity method that shaft bottom and well head inflow performance relationship curve are constrained jointly |
| CN108798659A (en) * | 2018-06-07 | 2018-11-13 | 西南石油大学 | A kind of low permeability tight gas reservoir exploration reasonable test method of gas testing well |
| CN108798648A (en) * | 2018-06-07 | 2018-11-13 | 西南石油大学 | A kind of hypotonic tight gas reservoir improvement positive sequence modified isochronal test method |
-
2019
- 2019-11-29 CN CN201911202130.2A patent/CN111088974B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012083068A2 (en) * | 2010-12-16 | 2012-06-21 | Bp Corporation North America Inc. | Method of determining reservoir pressure |
| US20140083687A1 (en) * | 2012-09-27 | 2014-03-27 | Schlumberger Technology Corporation | Production in fractured systems |
| CN104612658A (en) * | 2014-11-25 | 2015-05-13 | 中国石油大学(北京) | Well test analysis control system and method used for horizontal well subsection liquid producing identification |
| CN105781262A (en) * | 2014-12-16 | 2016-07-20 | 中国石油化工股份有限公司 | Well deliverability testing method |
| CN106869917A (en) * | 2017-03-24 | 2017-06-20 | 中国石油集团川庆钻探工程有限公司 | Based on the evaluating production capacity method that shaft bottom and well head inflow performance relationship curve are constrained jointly |
| CN108798659A (en) * | 2018-06-07 | 2018-11-13 | 西南石油大学 | A kind of low permeability tight gas reservoir exploration reasonable test method of gas testing well |
| CN108798648A (en) * | 2018-06-07 | 2018-11-13 | 西南石油大学 | A kind of hypotonic tight gas reservoir improvement positive sequence modified isochronal test method |
Non-Patent Citations (13)
| Title |
|---|
| FRANCY FRANCO, ETC: ""Optimized Isochronal Flow Tests"", 《SOCIETY OF PETROLEUM ENGINEERS》 * |
| MOHAMMED KHALIFA: ""Comparison of Different Deliverability Testing Techniques in Low Permeability Gas Reservoir and Its Impact on the Absolute Open Flow (AOF) Estimation"", 《SOCIETY OF PETROLEUM ENGINEERS》 * |
| T.C. CHEN, R.P. BALYCKY: ""Modified Isochronal Test Overestimates Of Low Permeability Reservoir Deliverability"", 《SOCIETY OF PETROLEUM ENGINEERS》 * |
| 张亚文: ""松南火山岩气藏试井技术应用研究"", 《油气藏评价与开发》 * |
| 张宗林，等: ""低渗透气藏修正等时试井资料处理新方法"", 《新疆石油地质》 * |
| 张宗林，等: ""应用气井压力恢复资料确定产能的方法——以靖边气田为例"", 《石油与天然气地质》 * |
| 张强: ""油气井测试工作制度优化设计方法研究"", 《中国优秀硕士论文全文库工程科技I辑》 * |
| 张英魁，等: ""稳定试井方法在双坨子气藏的应用"", 《油气井测试》 * |
| 成友友: ""碳酸盐岩气藏储层类型识别与产能评价"", 《中国优秀硕士论文全文库工程科技I辑》 * |
| 王惠: ""P气田气井产能及合理配产研究"", 《中国优秀硕士论文全文库工程科技I辑》 * |
| 王晖，等: ""基于改进的回压试井方法评价低渗气藏气井产能"", 《石油勘探与开发》 * |
| 王长银，等: ""徐深气田火山岩气藏气井试采模式建立"", 《大庆石油地质与开发》 * |
| 阮基富，等: ""一种气井产能分析的改进方法"", 《油气井测试》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112922590A (en) * | 2021-02-26 | 2021-06-08 | 中国石油天然气集团有限公司 | Method for evaluating gas well productivity through index correction based on abnormal productivity well testing data |
| CN112922590B (en) * | 2021-02-26 | 2024-02-02 | 中国石油天然气集团有限公司 | Method for carrying out index correction and evaluation on gas well productivity based on abnormal productivity well test data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111088974B (en) | 2022-03-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10436027B2 (en) | Method of geometric evaluation of hydraulic fractures | |
| US10605074B2 (en) | Mapping of fracture geometries in a multi-well stimulation process | |
| US6715551B2 (en) | Apparatus and methods for applying time lapse VSP to monitor a reservoir | |
| CN107066718B (en) | Four-dimensional dynamic ground stress simulation method | |
| US20110191029A1 (en) | System and method for well test design, interpretation and test objectives verification | |
| CN106991236A (en) | A kind of refracturing well and stratum selection method based on four-dimensional crustal stress dynamic change | |
| WO2019217763A1 (en) | Ubiquitous real-time fracture monitoring | |
| CN110656915B (en) | Shale gas multi-section fracturing horizontal well multi-working-system productivity prediction method | |
| Jamali et al. | Application of capacitance resistance models to determining interwell connectivity of large-scale mature oil fields | |
| CN111088974B (en) | Productivity evaluation method for determining unstable flowing pressure correction of low-permeability gas well | |
| US20180306030A1 (en) | Method for improving reservoir performance by using data science | |
| WO2022011015A1 (en) | Optimization of discrete fracture network (dfn) using streamlines and machine learning | |
| Oliveira et al. | Deep Transient Testing Digital Products Create Novel Real-Time Reservoir Insights | |
| Yamalov et al. | Systematic Approach in Testing Field Data Analysis Techniques with an Example of Multiwell Retrospective Testing | |
| CN111259509B (en) | Drilling process simulation method and system | |
| Kabir et al. | Understanding variable well performance in a chalk reservoir | |
| CN110671102B (en) | Method and system for determining critical sand production pressure difference of gas well | |
| CN111663935B (en) | Method and system for evaluating annular air tightness of shaft | |
| EP2872739B1 (en) | System, method and computer program product to simulate drilling event scenarios | |
| Schiozer et al. | Integration of history matching and uncertainty analysis | |
| Saberi | Rock physics integration: From petrophysics to simulation | |
| Li et al. | Deep learning for quantitative hydraulic fracture profiling from fiber optic measurements | |
| Zinno | Microseismic Data Analysis, Interpretation Compared with Geomechanical Modelling | |
| Leng et al. | A physics-based method for forecasting interwell connectivity using injection data | |
| Stephens et al. | Detailed Sector Model to Reconcile Surveillance Results and High Permeability, Geologic, Features; Example from Kashagan Field, Kazakhstan |
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 |