基于微地震连续裂缝网络模型的SRV研究
Determining stimulated reservoir volume based on the microseismic continuous fracture network model
-
摘要: 在干热岩的开发和改造阶段,需要对储层进行水力压裂改造,储层改造体积(stimulated reservoir volume,SRV)是评价压裂效果的主要标准。微地震监测作为水力压裂的技术环节之一,可以对储层改造体积进行有效估算。本文探讨了基于微地震连续裂缝网络模型的SRV计算方法,以指导干热岩的水力压裂工作。首先,基于微震事件时空分布特征与多项震源参数进行连续裂缝网络建模;其次,提取裂缝网格长度,并选取适当的裂缝高度与裂缝宽度以计算储层改造体积;最后,选取某双井型干热岩微地震监测数据对该方法进行实际应用。实例应用结果表明,该方法可有效估算储层改造体积,为干热岩后续开发与改造提供依据。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.
下载: