AI-based geo-engineering integration in unconventional oil and gas

Di, Shiying; Cheng, Shiqing; Cao, Nai; Gao, Chaoli; Miao, Linan

doi:10.1016/j.jksus.2021.101542

Cited by 8 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The obtained results also contradict the existing works of Blumenthal et al (2020), Agbaji (2021), Desai et al (2021), Di et al (2021), as it has been proved (using the example of the international experience of energy companies from the UAE, Sweden, the UK, the United States and Japan) that AI can play an important role in the oil and gas markets, contributing not only to ensuring a deficit-free energy economy (implementation of SDG 7) but also to environmental protection (implementation of SDGs 13-15). Thanks to the results obtained in the course of the study, a systematic view of the prospects for the sustainable development of oil and gas markets has been formed, and the importance of AI for this process has been demonstrated.…”

Section: Discussioncontrasting

confidence: 97%

“…The role of AI in the oil and gas markets is also discussed in sufficient detail in the available publications. Blumenthal et al (2020), Agbaji (2021), Desai et al (2021), Di et al (2021) in their works point to the significant role of AI in energy distribution and energy efficiency improvement of the economy, that is, in the implementation of SDG 7. At the same time, the role of AI in the environmental management of oil and gas companies is not defined.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Environmental management of companies in the oil and gas markets based on AI for sustainable development: An international review

Chutcheva

Kuprianova²,

Seregina³

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

The purpose of the article is to study the current international experience and determine the prospects for improving the environmental management of companies in the oil and gas markets based on AI in the interests of sustainable development. Relying on variation analysis and correlation analysis methods, it has been substantiated that environmental management have significant impact on companies from the perspective of social LCA, which has an impact on the competitive ability of companies. Relying on the IPAT-method, it has been proven that technology is a key factor which determines this impact. As a result, it has been proved on the example of the case experience of the largest energy companies in Russia in 2022 that the environmental management of oil and gas companies creates advantages not only for the environment but also for financial efficiency and stability (break-even operation) of these companies (implementation of SDG 8). Using the example of the international experience of energy companies (from the UAE, Sweden, the UK, the USA and Japan), it has been proved that AI can play a much greater role in the oil and gas markets, contributing not only to ensuring a deficit-free energy economy (the implementation of SDG 7) but also to environmental protection (the implementation of SDGs 13-15). The best practices of using AI in each selected sector of the oil and gas industry were studied and a quantitative and qualitative assessment of the benefits of AI was carried out. Thirdly, the most promising use of AI in the sector of environmental management for environmental economics and management is substantiated. It is proven that the options for environmental management can be different and specific to a particular object. Thanks to the results obtained in the course of the study, a systematic view of the prospects for the sustainable development of oil and gas markets has been formed, and the importance of AI for this process has been demonstrated. The theoretical significance of the study consists in expanding the existing understanding of the use of AI in the practice of environmental management of energy companies and clarifying its contribution to the implementation of the SDGs.

show abstract

Section: Discussioncontrasting

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Environmental management of companies in the oil and gas markets based on AI for sustainable development: An international review

Chutcheva

Kuprianova²,

Seregina³

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…For example, after the structural demolition work is completed, it is always the major objective of the product life cycle to shut down the wells that are providing oil and gas. Accidents are common because inappropriate principles are easily adopted when the complex scheduling process is maintained due to limited demolition resources available (Di et al 2021 ). However, the accepted reality from the existing research is that the demolition methods need significant improvements to become more relevant with the technology that can bring sustainability to the construction of oil and gas projects.…”

Section: Research Article Citation Trendmentioning

confidence: 99%

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

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

“…integrate and implement new concepts. Upgrades to existing infrastructure can be costly and timeconsuming, which makes it challenging to integrate new technologies (Di, S. et al (2021). [47]).…”

Section: Abcd Analysis Of Artificial Intelligence In Oil and Gasmentioning

confidence: 99%

Sustainability through Artificial Intelligence in Oil and Gas Industry - A Case Study

Bangera,

Bhat

2023

IJCSBE

View full text Add to dashboard Cite

Background/Purpose: Systems and procedures for producing and delivering oil and gas are highly expensive and rely on cutting-edge technology. This industry is one that is already exploring the possibilities of artificial intelligence. To keep a competitive edge in the face of rapid environmental change, the industry is spending extensively on artificial intelligence and other data technologies. Objective: The benefits of AI directly address the major issues in the current oilfield. The oil and gas industry are realising the profound impact that AI can have on every industry along the whole value chain. The main problems in today's oilfield are directly addressed by AI's potential. Design/Methodology/Approach: This study focuses on challenges faced by different streams of oil and gas industries and its acceptance and dependency on AI to overcome them. Findings/Result: Now, oil and gas companies may use AI to estimate the value of specific reservoirs, customise drilling and completing plans to the specific geology, and assess the risks related to each well. Originality/Value: This study provides a concise overview of the oil and gas industry’s sustainability using artificial intelligence. Paper type: A case study on how artificial intelligence has influenced the development of the oil and gas industries.

show abstract

AI-based geo-engineering integration in unconventional oil and gas

Cited by 8 publications

References 28 publications

Environmental management of companies in the oil and gas markets based on AI for sustainable development: An international review

Environmental management of companies in the oil and gas markets based on AI for sustainable development: An international review

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

Sustainability through Artificial Intelligence in Oil and Gas Industry - A Case Study

Contact Info

Product

Resources

About