Applications of AI in oil and gas projects towards sustainable development: a systematic literature review

被引：0
作者：
Ahsan Waqar
Idris Othman
Nasir Shafiq
Muhammad Shoaib Mansoor
机构：
[1] Universiti Teknologi PETRONAS,Department of Civil and Environmental Engineering
[2] University of Sargodha,Department of Civil Engineering
来源：
Artificial Intelligence Review | 2023年 / 56卷
关键词：
Artificial intelligence (AI); Oil and gas projects; Sustainable development; Systematic literature review;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Oil and gas construction projects are critical for meeting global demand for fossil fuels, but they also present unique risks and challenges that require innovative construction approaches. Artificial Intelligence (AI) has emerged as a promising technology for tackling these challenges, and this study examines its applications for sustainable development in the oil and gas industry. Using a systematic literature review (SLR), this research evaluates research trends from 2011 to 2022. It provides a detailed analysis of how AI suits oil and gas construction. A total of 115 research articles were reviewed to identify original contributions, and the findings indicate a positive trend in AI research related to oil and gas construction projects, especially after 2016. The originality of this study lies in its comprehensive analysis of the latest research on AI applications in the oil and gas industry and its contribution to developing recommendations for improving the sustainability of oil and gas projects. This research’s originality is in providing insight into the most promising AI applications and methodologies that can help drive sustainable development in the oil and gas industry.
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页码：12771 / 12798
页数：27
相关论文
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