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

作者：Dachanuwattana Silpakorn; Jin Jianli; Zuloaga Molero Pavel; Li Xiangling; Xu Yifei; Sepehrnoori Kamy; Yu Wei^*; Miao Jijun

来源：Fuel, 2018, 220: 490-502.

DOI：10.1016/j.fuel.2018.02.018

• Assisted history matching
• Embedded discrete fracture model
• MARKOV chain Monte Carlo
• Uncertainty quantification
• Shale oil

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.

• 单位
  中国石油天然气股份有限公司勘探开发研究院