Mechanistic Modeling of Oil Recovery Caused by Low-Salinity-Water Injection in Oil Reservoirs

Author:

Al-Shalabi Emad W.1,Sepehrnoori Kamy2,Pope Gary2

Affiliation:

1. the Petroleum Institute

2. the University of Texas at Austin

Abstract

Summary Low-salinity-water injection (LSWI) is an emerging way to improve waterflood performance at low cost under certain conditions. The effect of LSWI on the oil recovery from carbonate formations has been well-documented in the laboratory and to a limited extent in the field. In this study, a mechanistic geochemical model is proposed that addresses the effect on oil recovery of different geochemical reactions resulting from LSWI. The proposed model was used to history match recently published corefloods by use of the UTCHEM (2000) mechanistic reservoir simulator. Moreover, other sets of corefloods were chosen to validate the proposed LSWI mechanistic model. The geochemical model in the UTCHEM simulator was modified to calculate the molar Gibbs free energy of the brine. In the proposed LSWI mechanistic model, the relative permeability curves, including the residual oil saturation (ROS), are functions of the molar Gibbs free energy. Coreflood experiments were simulated and history matched by use of the proposed model. The proposed LSWI mechanistic model was further extended to include weakly oil-wet to mixed-wet carbonate rocks. The mechanistic model captures the effects on oil recovery of both wettability alteration and/or dissolution/fines migration through changes in the molar Gibbs free energy. This model can now be used for oil-recovery predictions and optimization of LSWI field applications.

Publisher

Society of Petroleum Engineers (SPE)

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3