A new-generation Embedded Discrete Fracture Model calibration workflow applied to the characterization of complex naturally fracture reservoir

作     者：Hongbing Xie Mauricio Fiallos Torres Penyu Cheng Wei Yu Yuzhong Xin Jijun Miao Muwei Cheng Hongbing Xie;Mauricio Fiallos Torres;Penyu Cheng;Wei Yu;Yuzhong Xin;Jijun Miao;Muwei Cheng

作者机构：Beijing Karst S&T LimitedBeijing100083China Sim Tech LLCKatyTX77494USA RIPEDBeijing100083China University of Texas at AustinAustinTX78712USA 

出 版 物：《Petroleum Research》 (石油研究（英文）)

年 卷 期：2022年第7卷第1期

页      面：1-12页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This researchwas funded by“CNPC Science and technology project:Fine evaluation and prediction technology for complex reservoirs in overseas natural gas reservoirs grant number 2018D-4305” 

主　　题：DFN EDFM DFN screening Fracture networks Natural fractures 

摘      要：Characterizing natural fractures has a decisive effect on production forecasts in fractured oil and gas *** Fracture Networks(DFN)constitutes the main modeling framework for fractured ***,myriads of uncertainties are enclosed prior modeling representative stochastic or deterministic DFN *** paper presents a novel methodology for DFN calibration and an efficacious field application,which incorporatesWell-testing interpretation,Embedded Discrete Fracture Model(EDFM)framework,and numerical reservoir *** proposed workflow starts with the DFN generation from seismic data,imaging logging data and core *** multiple DFNs are modeled,well-test analysis is employed to calibrate the intrinsic properties of fractures at different ***,these fracture networks are characterized dynamically by EDFM,which promotes capturing the optimal fracture model quickly ***,pressure and production history match are reached for the DFN realization that honors the optimal fracture model.