Optimization of ionic concentrations in engineered water injection in carbonate reservoir through ANN and FGA

IF 1.8 4区 工程技术 Q4 ENERGY & FUELS Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles Pub Date : 2021-01-01 DOI:10.2516/OGST/2020094
Leonardo Fonseca Reginato, L. G. Pedroni, André Luiz Martins Compan, R. Skinner, M. A. Sampaio
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引用次数: 3

Abstract

Engineered Water Injection (EWI) has been increasingly tested and applied to enhance fluid displacement in reservoirs. The modification of ionic concentration provides interactions with the pore wall, which facilitates the oil mobility. This mechanism in carbonates alters the natural rock wettability being quite an attractive recovery method. Currently, numerical simulation with this injection method remains limited to simplified models based on experimental data. Therefore, this study uses Artificial Neural Networks (ANN) learnability to incorporate the analytical correlation between the ionic combination and the relative permeability (Kr), which depicts the wettability alteration. The ionic composition in the injection system of a Brazilian Pre-Salt benchmark is optimized to maximize the Net Present Value (NPV) of the field. The optimization results indicate the EWI to be the most profitable method for the cases tested. EWI also increased oil recovery by about 8.7% with the same injected amount and reduced the accumulated water production around 52%, compared to the common water injection.
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基于神经网络和FGA的碳酸盐岩油藏工程注水离子浓度优化
工程注水技术(EWI)在提高油藏流体驱替方面得到了越来越多的测试和应用。离子浓度的改变与孔壁相互作用,有利于油的迁移。碳酸盐中的这种机制改变了天然岩石的润湿性,是一种很有吸引力的采收率方法。目前,这种注入方法的数值模拟还局限于基于实验数据的简化模型。因此,本研究利用人工神经网络(ANN)的可学习性将离子组合与相对渗透率(Kr)的分析相关性结合起来,描述了润湿性的变化。巴西盐下基准注入系统中的离子组成进行了优化,以最大化该油田的净现值(NPV)。优化结果表明,对于所测试的案例,EWI是最有利的方法。与普通注水相比,在注入量相同的情况下,EWI的采收率提高了约8.7%,累计产水量减少了约52%。
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来源期刊
CiteScore
2.70
自引率
0.00%
发文量
0
审稿时长
2.7 months
期刊介绍: OGST - Revue d''IFP Energies nouvelles is a journal concerning all disciplines and fields relevant to exploration, production, refining, petrochemicals, and the use and economics of petroleum, natural gas, and other sources of energy, in particular alternative energies with in view of the energy transition. OGST - Revue d''IFP Energies nouvelles has an Editorial Committee made up of 15 leading European personalities from universities and from industry, and is indexed in the major international bibliographical databases. The journal publishes review articles, in English or in French, and topical issues, giving an overview of the contributions of complementary disciplines in tackling contemporary problems. Each article includes a detailed abstract in English. However, a French translation of the summaries can be provided to readers on request. Summaries of all papers published in the revue from 1974 can be consulted on this site. Over 1 000 papers that have been published since 1997 are freely available in full text form (as pdf files). Currently, over 10 000 downloads are recorded per month. Researchers in the above fields are invited to submit an article. Rigorous selection of the articles is ensured by a review process that involves IFPEN and external experts as well as the members of the editorial committee. It is preferable to submit the articles in English, either as independent papers or in association with one of the upcoming topical issues.
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