LI Qiu-Chen, CHEN Dong, XU Wen-Hao, YI Shan-Xin, XIE Xing-Long, GUAN Jun-Peng, CUI Fang-Zi. Determining stimulated reservoir volume based on the microseismic continuous fracture network model[J]. ​Geophysical and Geochemical Exploration, 2023, 47(4): 1048-1055. DOI: 10.11720/wtyht.2023.1139
    Citation: LI Qiu-Chen, CHEN Dong, XU Wen-Hao, YI Shan-Xin, XIE Xing-Long, GUAN Jun-Peng, CUI Fang-Zi. Determining stimulated reservoir volume based on the microseismic continuous fracture network model[J]. ​Geophysical and Geochemical Exploration, 2023, 47(4): 1048-1055. DOI: 10.11720/wtyht.2023.1139

    Determining stimulated reservoir volume based on the microseismic continuous fracture network model

    • 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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