Quantitative Prediction of Fracture Distribution of the Longmaxi Formation in the Dingshan Area, China using FEM Numerical Simulation
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Quantitative Prediction of Fracture Distribution of the Longmaxi Formation in the Dingshan Area, China using FEM Numerical Simulation
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This research was supported by the?Open Fund (PLN 201718) of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University and the Open Fund (SEC-2018-04) of Collaborative Innovation Center of Shale Gas Resources and Environment, Southwest Petroleum University and the?National Science and Technology Major Project of China?(2017ZX05036003-003). The authors would like to thank the staff of all of the laboratories that cooperated in performing the tests and analyses.

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    Fracture prediction is a technical issue in the field of petroleum exploration and production worldwide. Although there are many approaches to predict the distribution of cracks underground, these approaches have some limitations. To resolve these issues, we ascertained the relation between numerical simulations of tectonic stress and the predicted distribution of fractures from the perspective of geologic genesis, based on the characteristics of the shale reservoir in the Longmaxi Formation in Dingshan; the features of fracture development in this reservoir were considered. 3D finite element method (FEM) was applied in combination with rock mechanical parameters derived from the acoustic emissions. The paleotectonic stress field of the crack formation period was simulated for the Longmaxi Formation in the Dingshan area. The splitting factor in the study area was calculated based on the rock breaking criterion. The coefficient of fracture development was selected as the quantitative prediction classification criteria for the cracks. The results show that a higher coefficient of fracture development indicates a greater degree of fracture development. On the basis of the fracture development coefficient classification, a favorable area was identified for the development of fracture prediction in the study area. The prediction results indicat

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XIE Jiatong, QIN Qirong, FAN Cunhui.2019. Quantitative Prediction of Fracture Distribution of the Longmaxi Formation in the Dingshan Area, China using FEM Numerical Simulation[J]. ACTA GEOLOGICA SINICA(English edition),93(6):1662~1672

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  • 收稿日期:2018-05-24
  • 最后修改日期:2018-12-25
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  • 在线发布日期: 2019-12-24
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