CN111335866A - Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method - Google Patents
Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method Download PDFInfo
- Publication number
- CN111335866A CN111335866A CN202010118230.3A CN202010118230A CN111335866A CN 111335866 A CN111335866 A CN 111335866A CN 202010118230 A CN202010118230 A CN 202010118230A CN 111335866 A CN111335866 A CN 111335866A
- Authority
- CN
- China
- Prior art keywords
- well
- horizontal well
- reservoir
- horizontal
- quality
- 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
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/30—Specific pattern of wells, e.g. optimizing the spacing of wells
- E21B43/305—Specific pattern of wells, e.g. optimizing the spacing of wells comprising at least one inclined or horizontal well
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 And Detection Of Objects (AREA)
- Sampling And Sample Adjustment (AREA)
Abstract
The invention belongs to the technical field of oil and gas field exploration and development, and particularly provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps: 1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; 2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; 3) reservoir prediction is carried out between the horizontal well starting well and the tail end well in the step 2) based on geological knowledge base constraint, whether the horizontal well is deployed or not is finally determined, the problem that the well position optimization of the horizontal well is not researched specially under the condition that the reservoir quality is obviously reduced in the middle and later stages of gas field development is solved, and the method has the characteristics of simply and quickly screening the horizontal well starting well and carrying out horizontal well position deployment in the low-quality reservoir area of the tight sandstone gas reservoir.
Description
Technical Field
The invention belongs to the technical field of oil and gas field exploration and development, and particularly relates to a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir.
Background
Along with the continuous deepening of the development degree of the oil and gas field, the well pattern of the favorable area is gradually improved, the quality of the reservoir of the area with the remained reserves and no use is obviously reduced, but the horizontal well is still an effective technical means for developing the compact sandstone gas reservoir. In the initial stage of development of the oil and gas field, according to the development idea of 'fat first and thin second', the horizontal well is selected to be deployed in a high-quality reservoir, and the horizontal well is not deployed in a low-quality reservoir, so that the research of well position optimization of the horizontal well under the condition that the quality of the reservoir is obviously reduced in the middle and later stages of development of the oil and gas field is not specially performed at present.
Disclosure of Invention
The invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which aims to solve the problem that the well position of the horizontal well is not optimized specially in the middle and later stages of gas field development under the condition that the reservoir quality is obviously reduced.
Therefore, the invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
The well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well.
And (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
The logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape.
The thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of the target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m.
And 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body.
And the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms.
The reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing.
The result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; and the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed.
The invention has the beneficial effects that: the invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps: 1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; 2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; 3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined. According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
Drawings
The present invention will be described in further detail below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of the distribution relationship between horizontal well positions and skeleton wells;
FIG. 2 is a GR curve form schematic of a tight sandstone gas reservoir low quality reservoir;
FIG. 3 is a schematic diagram of predicting reservoir development between a sending well and a terminal well based on a geological knowledge base.
Detailed Description
Example 1:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
Example 2:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; the well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well. And (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
2) Aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; the logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape. The thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of a target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m; such as dry layer (shown in (a), (b) and (c) of FIG. 2), gas-containing layer (shown in (d) and (e) of FIG. 2); the superposition of a bell shape (shown in (a) of FIG. 2), a sawtooth box shape (shown in (b) of FIG. 2) and (d) of an upper bell shape and a lower sawtooth box shape (shown in (c) of FIG. 2) and (e) of an upper bell shape;
and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined. And 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body. And the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms. The reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing. The result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed; for example: the reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped (as shown in (a) of a figure 3), the geological risk of the horizontal well is high, and prediction and deployment are not carried out; the GR curve forms of the starting well and the tail end well of the horizontal well are both in a dry-layer sawtooth box shape, 2 gas-layer sand bodies can be predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (b) of figure 3), GR curve forms of a starting well and a tail end well of the horizontal well are both in a dry layer sawtooth box shape, 2 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (c) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are superposition of bell-shaped sawtooth box types at the upper part and the lower part of a dry layer, 3 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (d) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are both in a differential gas zone sawtooth box shape, 2 gas zone sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (e) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are both superposition of bell-shaped sawtooth box types at the lower part of the upper part of a gas difference layer, 3 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; the trajectory between the horizontal well starting well and the end well is designed according to the construction prediction.
According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
Example 2:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; (as shown in fig. 1) the well pattern and the well spacing required for the horizontal well deployment are as follows: the distance from a target point to a well is 350m, the distance from the well 1-2 to the well is 400m, the distance from the well 1-2 to the well 1-3 is 400m, the distance from the bottom of a horizontal well 1 to the well 3-1 is 400m, the distance from the horizontal well 1 to the well 2-1 (a left adjacent vertical well) is 400m, the distance from the horizontal well 1 to the well 2-1 (a right adjacent horizontal well) is 400m, the distance from the horizontal well 1 to a right adjacent horizontal well is 2 m, the horizontal section length of the horizontal well 1 is. The skeleton well of the horizontal well is a well 1-1, a well 1-2 and a well 1-3 which are used as a starting well of the horizontal well, and the well 3-1 is used as a tail end well of the horizontal well;
2) classifying the reservoir quality of a target stratum according to a logging interpretation result aiming at the skeleton wells (wells 1-1, 1-2, 1-3 and 3-1) screened in the step 1): the well 1-1 is a dry layer bell shape, the well 1-2 is a dry layer sawtooth box shape, the well 1-3 is the superposition of a bell shape lower part sawtooth box shape at the upper part of a gas difference layer, the well 3-1 is a dry layer sawtooth box shape, the thickness of a mudstone layer of the well 1-1 is 0.8m, the thickness of an accumulated mudstone layer of the well 1-3 is 1.3m, the thickness of a reservoir layer of the well 1-2 is 8m, the thickness of a single interlayer is not more than 0.5m, the thickness of an accumulated interlayer is not more than 1m, the thickness of the reservoir layer of the well 3-1 is 7m, the thickness of the single interlayer is not more than 0.5m, the thickness of the accumulated interlayer is not more than 1m, and therefore, the well 1-;
3) based on the constraint of a geological knowledge base, 2 gas layer sand bodies can be drilled and met in the 1550m well spacing between the predicted well 1-2 and the well 3-1, and meanwhile, a horizontal well can be deployed between the well 1-2 and the well 3-1.
According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
The above examples are merely illustrative of the present invention and should not be construed as limiting the scope of the invention, which is intended to be covered by the claims and any design similar or equivalent to the scope of the invention.
Claims (9)
1. A well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well is characterized by comprising the following steps: the method comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
2. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well.
3. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: and (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
4. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape.
5. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of the target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m.
6. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: and 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body.
7. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 4, wherein the method comprises the following steps: and the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms.
8. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 7, wherein the method comprises the following steps: the reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing.
9. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 8, wherein the method comprises the following steps: the result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; and the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010118230.3A CN111335866B (en) | 2020-02-26 | 2020-02-26 | Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010118230.3A CN111335866B (en) | 2020-02-26 | 2020-02-26 | Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111335866A true CN111335866A (en) | 2020-06-26 |
CN111335866B CN111335866B (en) | 2022-06-03 |
Family
ID=71179685
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010118230.3A Active CN111335866B (en) | 2020-02-26 | 2020-02-26 | Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111335866B (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2476053A (en) * | 2009-12-08 | 2011-06-15 | Schlumberger Holdings | Displaying seismic data in the form of a predicted well log for a planned well trajectory to make interpretation easier for a drilling rig operator |
CN103867194A (en) * | 2014-02-14 | 2014-06-18 | 中国石油天然气股份有限公司 | Well logging characterization method, well drilling layer section selecting method and well drilling layer section selecting device of a sand body structure |
CN105239990A (en) * | 2015-10-30 | 2016-01-13 | 中国石油天然气股份有限公司 | Placing method of self-simulating lateral-displacement horizontal well of super-low permeability tight reservoir |
CN106014372A (en) * | 2016-05-18 | 2016-10-12 | 中国石油天然气股份有限公司 | Horizontal well spacing method based on sand body structure |
US20170169137A1 (en) * | 2014-08-28 | 2017-06-15 | Landmark Graphics Corporation | Optimizing multistage hydraulic fracturing design based on three-dimensional (3d) continuum damage mechanics |
CN107558992A (en) * | 2017-10-25 | 2018-01-09 | 中国石油化工股份有限公司 | A kind of shale gas Horizontal Well Targets window system of selection |
CN108008469A (en) * | 2016-10-28 | 2018-05-08 | 中石化石油工程技术服务有限公司 | The horizontal well geosteering modeling method that well shake combines |
-
2020
- 2020-02-26 CN CN202010118230.3A patent/CN111335866B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2476053A (en) * | 2009-12-08 | 2011-06-15 | Schlumberger Holdings | Displaying seismic data in the form of a predicted well log for a planned well trajectory to make interpretation easier for a drilling rig operator |
CN103867194A (en) * | 2014-02-14 | 2014-06-18 | 中国石油天然气股份有限公司 | Well logging characterization method, well drilling layer section selecting method and well drilling layer section selecting device of a sand body structure |
US20170169137A1 (en) * | 2014-08-28 | 2017-06-15 | Landmark Graphics Corporation | Optimizing multistage hydraulic fracturing design based on three-dimensional (3d) continuum damage mechanics |
CN105239990A (en) * | 2015-10-30 | 2016-01-13 | 中国石油天然气股份有限公司 | Placing method of self-simulating lateral-displacement horizontal well of super-low permeability tight reservoir |
CN106014372A (en) * | 2016-05-18 | 2016-10-12 | 中国石油天然气股份有限公司 | Horizontal well spacing method based on sand body structure |
CN108008469A (en) * | 2016-10-28 | 2018-05-08 | 中石化石油工程技术服务有限公司 | The horizontal well geosteering modeling method that well shake combines |
CN107558992A (en) * | 2017-10-25 | 2018-01-09 | 中国石油化工股份有限公司 | A kind of shale gas Horizontal Well Targets window system of selection |
Non-Patent Citations (4)
Title |
---|
杜鹏 等: "低渗砂岩储层规模开发技术及应用效果研究 —以苏里格气田中、西区为例", 《石油化工应用》 * |
杨特波 等: "基于地质知识库的致密砂岩气藏储层建模-以苏里格气田苏X区块为例", 《岩性油气藏》 * |
王琛: "苏54区块水平井开发可行性研究", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技I辑》 * |
郝骞: "苏里格气田国际合作区河流相储层井位部署关键技术", 《天然气工业》 * |
Also Published As
Publication number | Publication date |
---|---|
CN111335866B (en) | 2022-06-03 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20190212460A1 (en) | Method for secondary exploration of old oil area in fault subsidence basin | |
CN103529474B (en) | Adopt lithology segmentation to realize the method for petrofacies fine description | |
CN106014372B (en) | A kind of horizontal well well-arranging procedure based on sand body structure | |
CN110984951B (en) | Shale oil development well pattern deployment method | |
CN105607144A (en) | Complex carbonate oil and gas reservoir accumulation mode evaluation method | |
Koveshnikov et al. | Fracture system influence on the reservoirs rock formation of Ordovician-Devonian carbonates in West Siberia tectonic depression | |
CN110489809B (en) | Basin oil and gas resource integral evaluation method and device | |
CN111335866B (en) | Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method | |
Loucks et al. | Paleocave facies classification and associated pore types | |
Dreyer | Sand body dimensions and infill sequences of stable, humid-climate delta plain channels | |
CN111140230B (en) | Method and device for constructing horizontal well track | |
CN111350485B (en) | Well pattern adjusting method and device | |
Stone et al. | Structural setting and shape analysis of nickel sulfide shoots at the Kambalda dome, Western Australia: Implications for deformation and remobilization | |
Kulpecz et al. | Geological modeling of a turbidite reservoir, Forties Field, North Sea | |
CN111425171A (en) | Water-flooding sandstone reservoir double-high-period two-three combined perforation optimization method | |
CN108343424B (en) | Method and device for determining drilling position | |
CN112711069A (en) | Point sand dam prediction method based on meandering river channel evolution of plain area | |
CN111007568A (en) | Method for quantifying spatial distribution characteristics of classified reservoir | |
CN113638727B (en) | Optimization method for shale gas development and adjustment of passing horizon | |
CN113031065B (en) | Oilfield sand geological modeling method | |
Rasyid et al. | Integrated Sedimentology Characters and Seismic Geomorphology for Reservoir Prediction of Tidal Shelf Ridge: The Upper Cibulakan Formation As A Shallow Marine Reservoir Analogue | |
CN114791634B (en) | Comprehensive evaluation method for target area of large and medium-sized oil-gas field of press-twist laminated basin | |
CN112965111B (en) | Fault interpretation method | |
CN113761620B (en) | Shale gas middle gas layer well geological guiding method | |
Tian et al. | Research and Practice on the Integration of High-Efficiency Reserves Increase and Productivity Construction by Dominant Sedimentary Facies-Structure Coupling: A Case Study of E3s1 on Qinan Slope |
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 |