开发和比较不同的基于人工智能的原位交联酸粘度模型

IF 1.3 4区工程技术 Q4 ENERGY & FUELS

Petroleum Science and Technology Pub Date : 2023-12-14 DOI:10.1080/10916466.2023.2291582

Hossein Mehrjoo, Amir Ehsan Feili Monfared, Saeed Jafari, Saeid Norouzi-Apourvari, Mahin Schaffie

引用次数: 0

摘要

原位交联酸（ICA）的使用在油气藏开采中非常普遍。然而，它们的流变模型尚未被广泛纳入模拟软件，原因是...

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Development and comparison of different artificial intelligence-based models for viscosity of in-situ cross-linked acids

The use of in-situ cross-linked acids (ICAs) is common in stimulating oil and gas reservoirs. However, their rheological models have not been widely incorporated into simulation software due to the...

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来源期刊

Petroleum Science and Technology 工程技术-工程：化工

CiteScore

2.90

自引率

13.30%

发文量

277

审稿时长

2.7 months

期刊介绍： The international journal of Petroleum Science and Technology publishes original, high-quality peer-reviewed research and review articles that explore: -The fundamental science of fluid-fluid and rock-fluids interactions and multi-phase interfacial and transport phenomena through porous media related to advanced petroleum recovery processes, -The application of novel concepts and processes for enhancing recovery of subsurface energy resources in a carbon-sensitive manner, -Case studies of scaling up the laboratory research findings to field pilots and field-wide applications. -Other salient technological challenges facing the petroleum industry.