包括地表复合体在内的低盐碳酸水淹模型

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

摘要 碳酸水浸(CWI)由于有利的溶解效果和粘度降低而提高了石油产量。CWI 性能的精确建模要求模拟器能够捕捉这种过程的真实物理过程。在这项研究中,成分模型与表面络合模型(SCM)相结合,对降低水中盐浓度对采油的影响进行了统一研究。成分模型包括总碳、氢、氧、氯和癸烷的守恒方程。这些方程的系数是通过油相和水相可溶化学物质的平衡分配得到的。单片机是通过 PHREEQC 程序完成的,该程序可确定主物种的浓度。考虑到水相、油相和岩壁中复合物的浓度,将润湿性作为总结合产物(TBP)的函数进行估算。我们在 \(1-\) D 中对这些方程进行了分析和数值求解,以阐明向含有与高盐度碳酸水平衡的油藏注入低盐度碳酸水的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling low saline carbonated water flooding including surface complexes

Abstract

Carbonated water flooding (CWI) increases oil production due to favorable dissolution effects and viscosity reduction. Accurate modeling of CWI performance requires a simulator with the ability to capture the true physics of such process. In this study, compositional modeling coupled with surface complexation modeling (SCM) are done, allowing a unified study of the influence in oil recovery of reduction of salt concentration in water. The compositional model consists of the conservation equations of total carbon, hydrogen, oxygen, chloride and decane. The coefficients of such equations are obtained from the equilibrium partition of chemical species that are soluble both in oleic and the aqueous phases. SCM is done by using the PHREEQC program, which determines concentration of the master species. Estimation of the wettability as a function of the Total Bound Product (TBP) that takes into account the concentration of the complexes in the aqueous, oleic phases and in the rock walls is performed. We solve analytically and numerically these equations in \(1-\) D in order to elucidate the effects of the injection of low salinity carbonated water into a reservoir containing oil equilibrated with high salinity carbonated water.

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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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