Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs
Natural fractures are the key factors controlling the enrichment of shale oil. It is of great significance to clarify the distribution of natural fractures to guide the selection of sweet spots for shale oil. Taking the Qing-1 Member shale oil reservoir in the northern Songliao Basin, China as an ex...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2021/5571855 |
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| _version_ | 1832549634180907008 |
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| author | Lei Gong Shuai Gao Bo Liu Jianguo Yang Xiaofei Fu Fei Xiao Xiaocen Su Rongzhi Fu Qi Lu |
| author_facet | Lei Gong Shuai Gao Bo Liu Jianguo Yang Xiaofei Fu Fei Xiao Xiaocen Su Rongzhi Fu Qi Lu |
| author_sort | Lei Gong |
| collection | DOAJ |
| description | Natural fractures are the key factors controlling the enrichment of shale oil. It is of great significance to clarify the distribution of natural fractures to guide the selection of sweet spots for shale oil. Taking the Qing-1 Member shale oil reservoir in the northern Songliao Basin, China as an example, a new method considering the factors affecting fracture distribution was proposed to quantitatively predict the structural fractures. And the effect of natural fractures on shale oil enrichment was discussed. Firstly, the types and characteristics of fractures in shale oil reservoirs are characterized by using core and outcrop data. Combined with the experimental analysis, the influences of fault, mechanical stratigraphy, mineral composition and content, TOC, and overpressure on fracture intensity were clarified. Then, the number and density of fractures are quantitatively predicted according to the power-law distribution of fault length. Next, geomechanical simulation and fracture prediction were carried out on the model which was established with comprehensive consideration of the influencing factors of fracture distribution. Finally, the fracture distribution is evaluated comprehensively based on above prediction. The prediction results in this work are consistent with the core measurements. |
| format | Article |
| id | doaj-art-1bb101f2f60640aea3be9141fc6fbcea |
| institution | Kabale University |
| issn | 1468-8115 1468-8123 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-1bb101f2f60640aea3be9141fc6fbcea2025-02-03T06:10:47ZengWileyGeofluids1468-81151468-81232021-01-01202110.1155/2021/55718555571855Quantitative Prediction of Natural Fractures in Shale Oil ReservoirsLei Gong0Shuai Gao1Bo Liu2Jianguo Yang3Xiaofei Fu4Fei Xiao5Xiaocen Su6Rongzhi Fu7Qi Lu8Heilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory at Northeast Petroleum University, Daqing 163318, ChinaHeilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory at Northeast Petroleum University, Daqing 163318, ChinaInstitute of Unconventional Oil & Gas, Northeast Petroleum University, Daqing 163318, ChinaShenyang Center of China Geological Survey, Shenyang 110034, ChinaInstitute of Unconventional Oil & Gas, Northeast Petroleum University, Daqing 163318, ChinaShenyang Center of China Geological Survey, Shenyang 110034, ChinaHeilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory at Northeast Petroleum University, Daqing 163318, ChinaHeilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory at Northeast Petroleum University, Daqing 163318, ChinaHeilongjiang Oil and Gas Reservoir Forming Mechanism and Resource Evaluation Key Laboratory at Northeast Petroleum University, Daqing 163318, ChinaNatural fractures are the key factors controlling the enrichment of shale oil. It is of great significance to clarify the distribution of natural fractures to guide the selection of sweet spots for shale oil. Taking the Qing-1 Member shale oil reservoir in the northern Songliao Basin, China as an example, a new method considering the factors affecting fracture distribution was proposed to quantitatively predict the structural fractures. And the effect of natural fractures on shale oil enrichment was discussed. Firstly, the types and characteristics of fractures in shale oil reservoirs are characterized by using core and outcrop data. Combined with the experimental analysis, the influences of fault, mechanical stratigraphy, mineral composition and content, TOC, and overpressure on fracture intensity were clarified. Then, the number and density of fractures are quantitatively predicted according to the power-law distribution of fault length. Next, geomechanical simulation and fracture prediction were carried out on the model which was established with comprehensive consideration of the influencing factors of fracture distribution. Finally, the fracture distribution is evaluated comprehensively based on above prediction. The prediction results in this work are consistent with the core measurements.http://dx.doi.org/10.1155/2021/5571855 |
| spellingShingle | Lei Gong Shuai Gao Bo Liu Jianguo Yang Xiaofei Fu Fei Xiao Xiaocen Su Rongzhi Fu Qi Lu Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs Geofluids |
| title | Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs |
| title_full | Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs |
| title_fullStr | Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs |
| title_full_unstemmed | Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs |
| title_short | Quantitative Prediction of Natural Fractures in Shale Oil Reservoirs |
| title_sort | quantitative prediction of natural fractures in shale oil reservoirs |
| url | http://dx.doi.org/10.1155/2021/5571855 |
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