Using evolutionary algorithms for continuous simulation of long-term reservoir inflows

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-09-02 DOI:10.1680/jwama.20.00128

M. Sedighkia, B. Datta

引用次数: 5

Abstract

Data-driven models provide upgradeable environment to simulate inflow to reservoirs. One of the important aspects of developing adaptive neural fuzzy inference system (ANFIS) is to choose a right p...

查看原文本刊更多论文

利用进化算法连续模拟水库长期流入

数据驱动模型为模拟油藏流入提供了可升级的环境。开发自适应神经模糊推理系统(ANFIS)的一个重要方面是选择合适的模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.