Leveraging Data Analytics and AI to Optimize Operational Efficiency in the Oil and Gas Industry |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-5 |
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| Year of Publication : 2024 | ||
| Authors : Amrish Solanki | ||
| DOI : 10.14445/22312803/IJCTT-V72I5P109 | ||
How to Cite?
Amrish Solanki , "Leveraging Data Analytics and AI to Optimize Operational Efficiency in the Oil and Gas Industry," International Journal of Computer Trends and Technology, vol. 72, no. 5, pp. 72-81, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I5P109
Abstract
The fusion of Artificial Intelligence (AI) and Data Analytics has become a crucial approach for enhancing efficiency in the oil and gas sector. This study investigates the diverse advantages of integrating Artificial Intelligence (AI) and Data Analytics technology to improve productivity, safety, and profitability in oil and gas operations. Companies can utilize sophisticated algorithms and machine learning approaches to derive practical and valuable information from extensive data gathered during the manufacturing, exploration, and distribution phases. These observations enable decision-makers to allocate resources efficiently, simplify operations, and proactively detect potential dangers or anomalies. Furthermore, the utilization of AI-powered predictive maintenance solutions aids in reducing downtime, enhancing the dependability of assets, and elevating safety standards as a whole. This study consolidates significant discoveries from current research and case studies, emphasizing the revolutionary influence of AI and data analytics on operational efficiency and financial outcomes in the oil and gas industry. This research highlights the importance for industry stakeholders to adopt technological innovation as a driving force for long-term growth and competitiveness in a rapidly changing market environment.
Keywords
Oil and Gas Industry, Artificial Intelligence, Data Analytics, Efficiency, Safety, Profitability, Optimization, Future Prospects.
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