Fully compositional and thermal reservoir simulation

被引:41
|
作者
Zaydullin, Rustem [1 ]
Voskov, Denis V. [1 ]
James, Scott C. [2 ]
Henley, Heath [3 ]
Lucia, Angelo [4 ]
机构
[1] Stanford Univ, Dept Energy Resources Engn, Stanford, CA 94305 USA
[2] Exponent Inc, Irvine, CA 92618 USA
[3] Univ Rhode Isl, Dept Chem Engn, Kingston, RI 02881 USA
[4] Flashpoint LLC, Narragansett, RI 02882 USA
关键词
Process systems engineering; Enhanced oil recovery; Steam injection; STRIP; Fully compositional; Thermal reservoir simulation; GROUP-CONTRIBUTION EQUATION; COMPARATIVE SOLUTION PROJECT; STATE; PREDICTION; MODEL; PSRK;
D O I
10.1016/j.compchemeng.2013.12.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Fully compositional and thermal reservoir simulation capabilities are important in oil exploration and production. There are significant resources in existing wells and in heavy oil, oil sands, and deep-water reservoirs. This article has two main goals: (1) to clearly identify chemical engineering sub-problems within reservoir simulation that the PSE community can potentially make contributions to and (2) to describe a new computational framework for fully compositional and thermal reservoir simulation based on a combination of the Automatic Differentiation-General Purpose Research Simulator (AD-GPRS) and the multiphase equilibrium flash library (GFLASH). Numerical results for several chemical engineering sub-problems and reservoir simulations for two EOR applications are presented. Reservoir simulation results clearly show that the Solvent Thermal Resources Innovation Process (STRIP) outperforms conventional steam injection using two important metrics-sweep efficiency and oil recovery. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:51 / 65
页数:15
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