Fines-Migration-Assisted Low-Salinity Waterflooding: Field Case Analysis

Author:

Bedrikovetsky Pavel1,Zeinijahromi Abbas1,Badalyan Alexander1,Ahmetgareev Vadim2,Khisamov Rais3

Affiliation:

1. The University of Adelaide, Adelaide, Australia

2. TatNIPIneft Research Centre, Bugulma, Tatarstan, Russia

3. Tatneft, Almetyevsk, Tatarstan, Russia

Abstract

Abstract Low salinity waterflooding is presently one of the most promising EOR methods. Wettability alteration and residual oil decrease are the most important EOR mechanisms of low salinity waterflooding. However, the mobility control EOR due to fines migration, induced by low salinity water, and the consequent flux diversion is also an important feature of the smart waterflooding. We analyze the limited available field data from 10 years of low salinity water injection in Bastrykskoye field (Russia) and 24 years of production from Zichebashskoe field (Russia) which includes 7 years of low salinity water injection. The mathematical model for fines-assisted waterflooding is used for history matching resulting in good agreement between the field and modelling data. The model is used to compare recovery factor for two scenarios of low salinity water injection and formation (normal) water injection. Low incremental recovery and low decrease in the amount of produced water during the development of both fields is explained by the production of significant amount of the reservoir water before the commencement of low salinity water injection and also the injectors placing.

Publisher

SPE

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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