South Oman Polymer Project: A Decade of Operational Excellence and Comprehensive Reservoir Monitoring and Surveillance

Author:

Al Sawafi M. M.1,Aljabri A.1

Affiliation:

1. Petroleum Development Oman, Muscat, Oman

Abstract

Abstract The largest polymer flood field in the Middle East has been in operation since 2010, with over 45 polymer patterns and approximately 300 wells. Over the past 13 years, the project has faced various challenges, including ensuring sustained injection uptime, maintaining polymer viscosity stability, and optimizing the polymer pumps uptime, all of which directly impacting the field's polymer oil recovery. Managing such a complex project necessitates a comprehensive understanding of fluid dynamics. To comprehend the reservoir's behavior, an exhaustive surveillance plan is conducted annually, enabling the team to assess performance and take appropriate actions as needed. A substantial amount of data has been gathered to monitor polymer performance, encompassing surface and subsurface aspects such as wells' production data, polymer and water injection rates, polymer daily consumption, polymer viscosities, back-produced polymer concentration, pressure data and others. The large amount of data requires periodic analysis. To facilitate this, the team has developed automated tools to visualize polymer flood performance in real-time. These tools incorporate pre-defined sets of algorithms to retrieve surveillance data and present it in easily interpretable charts and tables, allowing the team to concentrate on areas of concern. Furthermore, well and pattern monitoring is conducted through an approach known as exceptional based surveillance (EBS), which triggers alarms when data deviates from preset operational parameters. These efforts have resulted in increased recovery from the polymer flood. Surveillance activities have demonstrated the effectiveness of data-driven and focused efforts in improving performance. In conjunction with operational excellence, an increase of around 50% in oil recovery has been achieved over the past few years. The paper will provide examples of acquired data, analyses performed, and actions taken to enhance oil recovery.

Publisher

SPE

Cited by 1 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