提高采收率模拟及l2估计的特征有限差分法

Y. Yirang
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引用次数: 8

摘要

开发了一种二维、多组分、多相、不可压缩组分油藏模拟器,并将其应用于化学驱(表面活性剂、酒精和聚合物)和收敛分析。二维提高采收率的特征有限差分方法可以描述为一个非线性偏微分方程的耦合系统。对于交叉干涉和有界区域的一般情况,我们提出了一种特征有限差分格式,并利用厚网格和薄网格构成完备集,以及变分法、先验估计理论和技术。对于近似解的误差,导出了l2范数下的最优阶估计。这样,我们就彻底解决了著名科学家道格拉斯提出的那个著名的理论问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Characteristic Finite Difference Methods for Enhanced Oil Recovery Simulation and L 2 Estimates
A 2-dimensional, multicomponent, multiphase, and incompressible compositional reservoir simulator has been developed and applied to chemical flooding (surfactants, alcohol and polymers) and convergence analysis. The characteristic finite difference methods for 2-dimensional enhanced oil recovery can be described as a coupled system of nonlinear partial differential equations. For a generic case of the cross interference and bounded region, we put forward a kind of characteristic finite difference schemes and make use of thick and thin grids to form a complete set, and of calculus of variations, the theory of prior estimates and techniques. Optimal order estimates in L 2 norm are derived for the error in the approximate solutions. Thus we have thoroughly solved the well-known theoretical problem proposed by a famous scientist, J. Douglas, Jr.
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