Optimizing the oil and natural gas industry: The role of ai and data analytics in ERP integration

Maddala, Venkata Siva Prasad (2025) Optimizing the oil and natural gas industry: The role of ai and data analytics in ERP integration. International Journal of Science and Research Archive, 14 (1). pp. 1808-1818. ISSN 2582 8185

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Abstract

Global energy requirements depend on the oil and natural gas industry which deals with efficiency issues and must meet both regulatory standards and environmental protection needs. Our research shows how adding artificial intelligence and data analysis tools into ERP systems solves industry problems. Enterprise resource planning systems powered by artificial intelligence make better supply chain decisions while helping businesses predict equipment maintenance needs leading to lower costs and more efficient operations. Research findings from case studies and industry data show that businesses reducing maintenance costs by 25% and improving logistics savings by 15% through AI-ERP implementation. While legacy systems, high costs and data security risks pose challenges the positive outcomes of merging AI with ERP systems prove greater in value. The research shows how these systems help energy companies operate more sustainably and emit less carbon in our modern energy environment. The sector will progress further as new developments like generative AI plus blockchain and edge computing enter the market. Companies need to train their teams, work with experts in the field and use clean technology solutions to stay ahead in today's changing market.

Item Type: Article
Uncontrolled Keywords: Artificial intelligence; ERP systems; and gas industry; data analytics; predictive maintenance; supply chain optimization; Industry 4.0; sustainability
Subjects: Q Science > Q Science (General)
Depositing User: Editor IJSRA
Date Deposited: 09 Jul 2025 16:39
Last Modified: 09 Jul 2025 16:39
URI: https://eprint.scholarsrepository.com/id/eprint/227

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