Screening Strategy for Chemical Enhanced Oil Recovery in Wyoming Basins

Author:

Alvarado Vladimir1,Thyne Geoff2,Murrell Glen2

Affiliation:

1. U. of Wyoming

2. University of Wyoming

Abstract

Abstract This paper presents results of a screening procedure for chemical EOR methods based on fuzzy-logic and data clustering algorithms. EOR processes considered included combinations of polymer, alkali and surfactant. Reservoir parameters are represented as triangular distributions with validity limits for each EOR process, and a most likely validity value of the distribution. Another triangular distribution was used as a reference for each of the reservoir and fluid parameters. The limits of validity were defined by mining a database and also by using technical limits, e.g. maximum stability temperature for polymers. The most relevant variables were dictated by availability of data and by comparing screening results with reported field cases. Wyoming basins have a long tradition of oil and gas exploitation, so many of the assets are at an advanced stage of maturity. The current energy market has revitalized the opportunities for further exploitation of numerous reservoirs in Wyoming. Enhanced-Oil Recovery (EOR) represents an attractive target for increasing the recovery factor in many of currently underexploited reservoirs, particularly by CO2 and Chemical Flooding. Associated decision-making workflows demand screening procedures, simulation and detailed economic evaluations. Sensible screening procedures are necessary to guide decision-making exercises. In practice, it was not possible to generalize success in field cases. Our results show this simple screening procedure requires a relatively small dataset for each asset, which contains bounds and likely values for the relevant rock and fluid properties. This has been implemented in a way that facilitates its use by final users. Many of the Wyoming reservoirs represent good candidates for processes such as alkaline-polymer or straight-polymer flooding, based on published field experience and our results. This EOR screening strategy is viewed as a significant improvement over go-no go criteria based on look-up table methods, because the developed method yields indicators ranking candidates for chemical EOR strategies. This provides a more assertive search for EOR candidates and allows reservoir types to be grouped on the basis of suitability. A similar philosophy will be developed for screening of CO2 projects, providing a further step in the decision making process and risk management associated with CO2-based EOR projects. Introduction Enhanced-Oil Recovery (EOR) presents a timely opportunity to access new oil reserves in known traps as a result of the current energy market. In this work, EOR refers to any changes in a reservoir development plan that leads to increased recovery factor by the injection of fluids/energy into the reservoir. This is much in line with the idea of tertiary recovery, which typically follows conventional waterflooding or gas injection, but that can be applied at any stage of production. Well stimulation or conformance activities, well architectures and changes in the production infrastructure, e.g. pumps or completions, are not included in the analysis of this work. Wyoming represents a mature oil province with many of the oil reservoirs at an advanced stage of maturity (Gharbi, 2001) or in significant decline. Waterflooding has been frequently used in in Wyoming basins with varied degree of success (Towler and Griffith, 1999), so "engineered" waterflooding (chemical flooding) can naturally follow in the many of Wyoming's reservoirs. Numerous pilot and full-field EOR projects have been completed in Wyoming, particularly polymer floods (Hochanadel et al, 1990) since the early 1980s. Micellar/Polymer flooding was developed and tested in Wyoming reservoirs, including the famous Big Muddy low-tension flood (Borah and Gregory, 1988; Ferrell et al., 1988; Gilliland and Conley, 1976). Many of the early projects resulted in technical success, but were uneconomical.

Publisher

SPE

Cited by 7 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