Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6631699 | Fuel | 2018 | 13 Pages |
Abstract
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.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Silpakorn Dachanuwattana, Jianli Jin, Pavel Zuloaga-Molero, Xiangling Li, Yifei Xu, Kamy Sepehrnoori, Wei Yu, Jijun Miao,