article · Engineering Science & Technology Journal
Advanced information technology tools offer substantial potential for reducing greenhouse gas emissions across the oil and gas sector. A mixed-methods assessment, combining industry case studies, literature analysis, and quantitative evaluation of emissions metrics such as carbon dioxide equivalent and energy efficiency, demonstrates how digital systems improve environmental performance. Internet of Things sensors provide continuous, real-time monitoring and operational optimisation, directly lowering emissions generated during extraction and processing. In parallel, artificial intelligence algorithms support predictive maintenance programmes that refine equipment performance and curtail fugitive emissions leaks. Additionally, big data analytics platforms enable robust emissions tracking and reporting, supporting proactive environmental management strategies. By reviewing actual industrial deployments, the work outlines practical benefits, operational challenges, and established best practices for deploying digital technologies to mitigate industrial emissions effectively.
The oil and gas industry is a major source of greenhouse gas emissions worldwide. Demonstrating how practical digital technologies such as connected sensors, artificial intelligence, and data analytics reduce emissions helps energy companies identify effective ways to cut pollution. This knowledge also supports regulators and policymakers in setting standards for cleaner operational practices.
The technologies examined, specifically Internet of Things sensors, artificial intelligence algorithms, and Big Data platforms, are already deployed in real-world implementations by leading industry operators. Prospective users include oil and gas operators seeking to improve energy efficiency, track greenhouse gas metrics, and lower fugitive emissions through predictive maintenance. Because the study evaluates existing commercial case studies, these digital solutions represent near-market and currently applied technologies ready for wider industrial adoption.
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The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike.
 Keywords: IT, Emission, Reduction, Oil and Gas, Review.
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DOI: 10.51594/estj.v5i3.862
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