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Applications of AI in oil and gas projects towards sustainable development: a systematic literature review
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 stu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034239/ https://www.ncbi.nlm.nih.gov/pubmed/37362898 http://dx.doi.org/10.1007/s10462-023-10467-7 |
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author | Waqar, Ahsan Othman, Idris Shafiq, Nasir Mansoor, Muhammad Shoaib |
author_facet | Waqar, Ahsan Othman, Idris Shafiq, Nasir Mansoor, Muhammad Shoaib |
author_sort | Waqar, Ahsan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10034239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-100342392023-03-23 Applications of AI in oil and gas projects towards sustainable development: a systematic literature review Waqar, Ahsan Othman, Idris Shafiq, Nasir Mansoor, Muhammad Shoaib Artif Intell Rev Article 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. Springer Netherlands 2023-03-23 /pmc/articles/PMC10034239/ /pubmed/37362898 http://dx.doi.org/10.1007/s10462-023-10467-7 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Waqar, Ahsan Othman, Idris Shafiq, Nasir Mansoor, Muhammad Shoaib Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title | Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title_full | Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title_fullStr | Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title_full_unstemmed | Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title_short | Applications of AI in oil and gas projects towards sustainable development: a systematic literature review |
title_sort | applications of ai in oil and gas projects towards sustainable development: a systematic literature review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10034239/ https://www.ncbi.nlm.nih.gov/pubmed/37362898 http://dx.doi.org/10.1007/s10462-023-10467-7 |
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