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 

机构地区：[1]Beijing Karst S&T Limited,Beijing,100083,China [2]Sim Tech LLC,Katy,TX,77494,USA [3]RIPED,Beijing,100083,China [4]University of Texas at Austin,Austin,TX,78712,USA

出　　处：《Petroleum Research》2022年第1期1-12,共12页石油研究（英文）

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”.

摘　　要：Characterizing natural fractures has a decisive effect on production forecasts in fractured oil and gas reservoirs.Discrete Fracture Networks(DFN)constitutes the main modeling framework for fractured geosystems.However,myriads of uncertainties are enclosed prior modeling representative stochastic or deterministic DFN ensembles.This 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 simulation.The proposed workflow starts with the DFN generation from seismic data,imaging logging data and core data.After multiple DFNs are modeled,well-test analysis is employed to calibrate the intrinsic properties of fractures at different locations.Then,these fracture networks are characterized dynamically by EDFM,which promotes capturing the optimal fracture model quickly screened.Finally,pressure and production history match are reached for the DFN realization that honors the optimal fracture model.

关 键 词：DFN EDFM DFN screening Fracture networks Natural fractures 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]