Application of proxy-based MCMC and EDFM to history match a Vaca Muerta shale oil well

被引:43
作者
Dachanuwattana, Silpakorn [1 ]
Jin, Jianli [2 ]
Zuloaga-Molero, Pavel [1 ]
Li, Xiangling [2 ]
Xu, Yifei [1 ]
Sepehrnoori, Kamy [1 ]
Yu, Wei [3 ]
Miao, Jijun [4 ]
机构
[1] Univ Texas Austin, Dept Petr & Geosyst Engn, Austin, TX 78712 USA
[2] PetroChina, Res Inst Petr Explorat & Dev, Beijing, Peoples R China
[3] Texas A&M Univ, Dept Petr Engn, College Stn, TX 77843 USA
[4] SimTech LLC, Katy, TX USA
关键词
Assisted history matching; Embedded discrete fracture model; MARKOV chain Monte Carlo; Uncertainty quantification; Shale oil; RESERVOIR SIMULATION; PERMEABILITY; MODEL;
D O I
10.1016/j.fuel.2018.02.018
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Embedding complex discrete fractures in reservoir simulation is required to attain more realistic flow behavior of shale reservoirs. However, using local grid refinement to model discrete fractures is computationally expensive. Nevertheless, recent developments in a methodology called Embedded Discrete Fracture Model (EDFM) have overcome the computational complexity. In this study, we develop an efficient assisted history matching (AHM) workflow using proxy-based Markov chain Monte Carlo algorithm and integrating with the EDFM preprocessor. The workflow can automatically perform history matching, production forecasting and uncertainty quantification. It has been successfully applied on a shale oil well in Vaca Muerta formation.
引用
收藏
页码:490 / 502
页数:13
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