A new approach based on VIKOR and Monte-Carlo algorithms for determining the most efficient enhanced oil recovery methods: EOR screening

IF 2.4 4区 工程技术 Q3 ENERGY & FUELS
Maryam Hajinorouz, Seyed Enayatollah Alavi
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Abstract

Most of oil reservoirs in the world have faced decrease in production and they are in the second half of their life cycle. Therefore, tertiary and enhanced oil recovery (EOR) techniques are needed for continuous production from these reservoirs. As choosing the most appropriate EOR methods for a reservoir is a challenging task for reservoir engineers, screening of EOR approaches is of high importance before any full field simulation and experiments. Enhanced oil recovery screening is a multiple criteria decision-making (MCDM) problem and hence, a systematic statistical algorithm based on MCDM can be used for this purpose. In this study, for the first time, a new EOR screening method is proposed by using VIKOR and Monte-Carlo algorithms. The approach used a large database of successful EOR projects around the world and was applied to 12 various EOR methods including a wide range of conditions and properties. Pre-processing was performed on the gathered database and then based on reservoir engineering analyses and using a pairwise comparison matrix, initial weights were considered for the parameters in each EOR method. Afterward, these weights were used in the proposed VIKOR MCDM calculation algorithm and the corresponding numerical values of EOR techniques for each reservoir were obtained. Finally, the EOR method with the highest corresponding value was selected as the most suitable method. Results demonstrated that by using the presented approach, a high classification accuracy of 98% was obtained for different cases, which shows the proficiency and robustness of the developed screening algorithm. In addition, the reliability of the developed method was validated using data obtained from 11 oil reservoirs in the southwest of Iran. Also, the results were compared with the results of previous studies and they were in a very good match. The developed approach is less expensive and faster than full field simulation method and can be used as an efficient EOR screening approach for reservoirs with different properties in the world.

Abstract Image

一种基于VIKOR和蒙特卡罗算法的新方法,用于确定最有效的提高采收率方法:EOR筛选
世界上大多数油藏都面临着产量下降的问题,处于其生命周期的后半段。因此,需要采用三次油藏和提高采收率(EOR)技术来实现这些油藏的连续生产。对于油藏工程师来说,为油藏选择最合适的提高采收率方法是一项具有挑战性的任务,因此在进行全油田模拟和实验之前,对提高采收率方法进行筛选非常重要。提高采收率筛分是一个多标准决策(MCDM)问题,因此,基于MCDM的系统统计算法可用于此目的。本文首次提出了一种利用VIKOR和蒙特卡罗算法进行提高采收率筛选的新方法。该方法使用了世界各地成功提高采收率项目的大型数据库,并应用于12种不同的提高采收率方法,包括各种条件和性质。对收集到的数据库进行预处理,然后根据油藏工程分析和两两比较矩阵,考虑每种提高采收率方法参数的初始权重。然后,将这些权重用于提出的VIKOR MCDM计算算法中,得到每个储层相应的提高采收率技术数值。最后选择对应值最高的提高采收率方法作为最合适的方法。结果表明,该方法在不同情况下的分类准确率均达到98%以上,显示了该筛选算法的熟练度和鲁棒性。此外,利用伊朗西南部11个油藏的数据验证了所开发方法的可靠性。并且将研究结果与以往的研究结果进行了比较,结果非常吻合。该方法比全场模拟方法成本低、速度快,可作为世界上不同性质储层的有效提高采收率筛选方法。
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来源期刊
CiteScore
5.90
自引率
4.50%
发文量
151
审稿时长
13 weeks
期刊介绍: The Journal of Petroleum Exploration and Production Technology is an international open access journal that publishes original and review articles as well as book reviews on leading edge studies in the field of petroleum engineering, petroleum geology and exploration geophysics and the implementation of related technologies to the development and management of oil and gas reservoirs from their discovery through their entire production cycle. Focusing on: Reservoir characterization and modeling Unconventional oil and gas reservoirs Geophysics: Acquisition and near surface Geophysics Modeling and Imaging Geophysics: Interpretation Geophysics: Processing Production Engineering Formation Evaluation Reservoir Management Petroleum Geology Enhanced Recovery Geomechanics Drilling Completions The Journal of Petroleum Exploration and Production Technology is committed to upholding the integrity of the scientific record. As a member of the Committee on Publication Ethics (COPE) the journal will follow the COPE guidelines on how to deal with potential acts of misconduct. Authors should refrain from misrepresenting research results which could damage the trust in the journal and ultimately the entire scientific endeavor. Maintaining integrity of the research and its presentation can be achieved by following the rules of good scientific practice as detailed here: https://www.springer.com/us/editorial-policies
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