Modeling of Cosolvents in a Fully-Implicit Surfactant Flood Simulator Using the Three-Level Framework

Choongyong Han, Xundan Shi, Yih-Bor Chang, Christian Wolfsteiner, B. Guyaguler
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Abstract

Cosolvents are commonly injected along with surfactants for successful enhanced oil recovery as they help control aqueous stability, salinity gradient, and microemulsion phase viscosity. Therefore, modeling capability for numerical simulation of cosolvent injection is essential in helping design optimal surfactant floods. Also, the numerical implementation in the simulator should be fully implicit, fully coupled, and highly-scalable to enable full-field models and the higher resolutions often required by chemical flood simulations. We propose a novel numerical approach to model cosolvents in a fully implicit, fully coupled, parallel, four-phase surfactant flood simulator using the three-level (phase/pseudocomponent/pure component) framework. Three pseudoalcohol components are introduced to the framework for efficient modeling of surfactant phase behavior with alcohols that are partitioned to pseudooil, pseudowater, and pseudosurfactant, respectively. They consist of pure alcohol components which are partitioned to the same pseudocomponent and are distributed to phases as required by the phase behavior equations. New nonlinear solution variables of concentrations are proposed to model transport of pure alcohols, their partitioning into pseudcomponents, and distribution of the pseudoalcohols to phases, along with corresponding equations. The physical properties critical for surfactant flood simulation such as interfacial tension, phase relative permeability, viscosity, and mass density are extended to consider the effect of alcohols. It is shown that the new numerical approach significantly simplifies implementation of the cosolvent simulation functionality. This is because time consuming and error prone conversion between variables and derivatives, and local iterative solve for the concentrations, are not needed. This simplification enables us to significantly reduce implementation efforts, even within the fully implicit, fully coupled framework. The implementation is validated with various test cases against a widely referenced chemical flood simulator. A large-scale surfactant/polymer flood case with cosolvent injection is successfully simulated with all the important physical processes modeled, with the simulator exhibiting good performance. Large field scale, four-phase chemical flood simulations with surfactant phase behavior with cosolvents are now practically achievable with the novel numerical approach using the three-level framework without compromising comprehensive physics.
全隐式表面活性剂驱油模拟器中共溶剂的三层框架建模
助溶剂通常与表面活性剂一起注入,以成功提高采收率,因为它们有助于控制水稳定性、盐度梯度和微乳液相粘度。因此,辅助溶剂注入数值模拟的建模能力对于优化表面活性剂驱的设计至关重要。此外,模拟器中的数值实现应该是完全隐式的,完全耦合的,高度可扩展的,以实现全场模型和化学洪水模拟通常需要的更高分辨率。我们提出了一种新的数值方法来模拟全隐式、全耦合、并行的四相表面活性剂驱模拟器中的共溶剂,采用三层(相/伪组分/纯组分)框架。将三种假醇组分引入到表面活性剂相行为的有效建模框架中,醇分别被划分为假油、假水和假表面活性剂。它们由纯醇组分组成,这些纯醇组分被划分为相同的伪组分,并按相行为方程的要求分布到相中。提出了新的非线性浓度解变量来模拟纯醇的输运,它们的分解成伪组分,以及假醇到相的分布,以及相应的方程。将界面张力、相相对渗透率、粘度和质量密度等对表面活性剂驱模拟至关重要的物理性质扩展到考虑醇类的影响。结果表明,新的数值方法大大简化了共溶剂模拟功能的实现。这是因为不需要在变量和导数之间进行耗时且容易出错的转换,也不需要浓度的局部迭代求解。这种简化使我们能够显著减少实现工作,甚至在完全隐式的、完全耦合的框架中也是如此。在一个广泛引用的化学驱模拟器上,用各种测试用例验证了该实现。成功地模拟了一个大规模注入共溶剂的表面活性剂/聚合物驱实例,模拟了所有重要的物理过程,结果表明该模拟器具有良好的性能。采用新的三层框架的数值方法,在不影响综合物理的情况下,可以实际实现具有表面活性剂与共溶剂相行为的大场尺度、四相化学驱模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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