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

IF 10.7 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Intelligence Review Pub Date : 2023-03-23 DOI:10.1007/s10462-023-10467-7

Ahsan Waqar, Idris Othman, Nasir Shafiq, Muhammad Shoaib Mansoor

{"title":"Applications of AI in oil and gas projects towards sustainable development: a systematic literature review","authors":"Ahsan Waqar, Idris Othman, Nasir Shafiq, Muhammad Shoaib Mansoor","doi":"10.1007/s10462-023-10467-7","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":8449,"journal":{"name":"Artificial Intelligence Review","volume":"56 11","pages":"12771 - 12798"},"PeriodicalIF":10.7000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10462-023-10467-7.pdf","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence Review","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s10462-023-10467-7","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 24

Abstract

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.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

人工智能在实现可持续发展的石油和天然气项目中的应用：系统文献综述。

石油和天然气建设项目对于满足全球对化石燃料的需求至关重要，但它们也带来了独特的风险和挑战，需要创新的建设方法。人工智能（AI）已成为应对这些挑战的一种很有前途的技术，本研究考察了其在石油和天然气行业可持续发展方面的应用。本研究使用系统文献综述（SLR）评估了2011年至2022年的研究趋势。它详细分析了人工智能如何适合石油和天然气建设。共审查了115篇研究文章，以确定原始贡献，研究结果表明，与石油和天然气建设项目相关的人工智能研究呈积极趋势，尤其是在2016年之后。这项研究的独创性在于它全面分析了人工智能在石油和天然气行业应用的最新研究，并为制定提高石油和天然气管项目可持续性的建议做出了贡献。这项研究的独创性在于深入了解最有前景的人工智能应用和方法，这些应用和方法有助于推动石油和天然气行业的可持续发展。

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分钟内获得全文去求助

来源期刊

Artificial Intelligence Review 工程技术-计算机：人工智能

CiteScore

22.00

自引率

3.30%

发文量

194

审稿时长

5.3 months

期刊介绍： Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.