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| Determining stimulated reservoir volume based on the microseismic continuous fracture network model |
LI Qiu-Chen1( ), CHEN Dong2, XU Wen-Hao1(), YI Shan-Xin2, XIE Xing-Long1, GUAN Jun-Peng2, CUI Fang-Zi1 |
1. Hydrogeological and Environmental Geological Survey,China Geological Survey,Baoding 071051,China
2. Nanjing Institute of Geology and Paleontology,Chinese Academy of Sciences,Nanjing 210008,China |
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Abstract Hydraulic fracturing is required during the exploitation and stimulation of hot dry rock (HDR) reservoirs.The stimulated reservoir volume (SRV) is the main criterion for evaluating the hydraulic fracturing performance.As a technical link of hydraulic fracturing,Microseismic monitoring can be used to effectively estimate the SRV.This study explored the calculational method of SRV based on the microseismic continuous fracture network model with the purpose of guiding the hydraulic fracturing of HDRs.First,the continuous fracture network was modeled based on the temporal and spatial distribution and multiple source parameters of microseismic events.Second,the fracture grid length was extracted and the appropriate fracture height and width were selected to calculate the SRV.Last,the method proposed in this study was applied to the dual-well HDR microseismic monitoring data.The application results show that this method can effectively estimate the SRV,thus providing a basis for the subsequent exploitation and stimulation of HDRs.
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Received: 11 June 2022
Published: 11 October 2023
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“Event-network” connection principle
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Flow chart of SRV algorithm based on continuous fracture network model
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Model of perforation correction velocity
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Spatio-temporal distribution of microseismic events
a—xy plan;b—xz section
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Contour map of positioning objective function
a—contour map of positioning objective function of single well;b—contour map of positioning objective function of double well
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Inversion results of source parameters of microseismic events
a—focal mechanism solution rose diagram;b—confidence of principal stress axis;c—statistical histogram of moment magnitude
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Continuous fracture network(CFN) model
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Sketch map of stimulated reservoir volume (SRV)
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