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

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.

Deterrents to the IoT for smart buildings and infrastructure development: A partial least square modeling approach

“…The present reliability analysis engenders assurance in the authenticity of the outcomes of the pilot survey. It proposes that the recognized barriers can be further scrutinized and assimilated into the primary questionnaire survey [ 5 , 8 , 35 , 73 ].…”

“…Smart buildings (also known as intelligent buildings) can only be realized using new technologies, such as the deployment of sensors, the design, and creation of big data, analytics, cloud, and cloud computing, the development of software engineering, algorithms for interaction between humans and computers, etc. As one of the difficulties of smart construction is managing an intricate network of interrelated functional objects in various building elements, the development of the IoT is one of the most prevalent areas among these technologies that support them [ [7] , [8] , [9] ]. With IoT, there is a tremendous opportunity to progress toward the desired objectives.…”

“…To demonstrate the competitive edge and emerging trend of IoT, several businesses, like IBM and Intel, have already begun to release smart building goods to the public [ 22 , 23 ]. Thus, understanding how to incorporate IoT into this sector to develop smart buildings is crucial [ 28 , 29 ]. The present study requires a thorough examination and evaluation of Internet of Things applications to all relevant areas of potential construction, despite the existence of surveys for IoT-based smart buildings [ 30 , 31 ].…”

BIM-driven energy simulation and optimization for net-zero tall buildings: sustainable construction management

“…Table 5 shows the Fornell lacker criterion for discriminant validity; by comparing the square roots of the average variance extracted (AVE) values to the correlations between constructs, the Fornell-Larcker criterion is used to evaluate the discriminant validity of constructs (Sarkisian, 2022). The diagonal values in the provided table represent the square roots of the AVERAGE for each construct, indicating the amount of variance captured by the indicators (Waqar et al, 2023r). According to the Fornell-Larcker criterion, the square root of the AVE for each construct should be greater than the correlation between that construct and other constructs for discriminant validity (Shalabi and Turkan, 2020;Waqar et al, 2023e).…”

An Evaluation of the Use of Artificial Intelligence Applications in Online Education

“…The development of AI applications has been driven by advancements in computing power, data availability and algorithmic techniques. The advancements in deep learning, availability of big data and cloud computing infrastructure, natural language processing and computer vision have facilitated the training and deployment of AI models, enabling AI applications to understand and interact with human language and visual information (Hamal et al, 2022;Peltonen et al, 2022;Waqar et al, 2023). The concept of AI, which has started to develop rapidly in various fields over time and continues to attract immense interest, holds the potential to revolutionize many different industries such as education, healthcare, finance and marketing.…”