利用人工智能技术预测二氧化碳淹没过程中的沥青质沉淀

IF 1.4 4区工程技术 Q4 ENERGY & FUELS

Petroleum Science and Technology Pub Date : 2024-04-10 DOI:10.1080/10916466.2024.2337407

Ibrahim H. Alhajri, Gholamreza Zahedi, Radhi H. Alazmi

引用次数: 0

摘要

清除原油井筒和油管中的沥青质沉积物是一个非常困难和昂贵的过程。因此，对沥青质沉淀（AP）进行精确预测是一项非常重要的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Predicting asphaltene precipitation in CO2 flooding processes using artificial intelligence techniques

The removal of asphaltene depositions from crude oil wellbores and tubing is a very difficult and expensive process. Therefore, a very accurate predictor for the Asphaltene Precipitation (AP) is a ...

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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.