TRANSFORMING THE OIL AND GAS SECTOR WITH SAP S/4HANA CLOUD, GENERATIVE AI, AND JOULE: INNOVATIONS ACROSS UPSTREAM, MIDSTREAM, AND DOWNSTREAM OPERATIONS

Authors

  • Sravan Kumar Nendrambaka RJT Compuquest Inc. dba Apolis, USA Author

Keywords:

Predictive Maintenance, Artificial Intelligence, Machine Learning, Website Reliability Engineering, Edge Computing

Abstract

The implementation of SAP S/4HANA Cloud, integrated with Generative AI and Joule, represents a transformative advancement in the oil and gas industry, spanning upstream, midstream, and downstream operations. This comprehensive digital transformation has revolutionized exploration and production activities, enhanced transportation and storage efficiency, and optimized refining and retail operations. The integration of advanced analytics, machine learning, and IoT capabilities has enabled organizations to achieve significant improvements in operational efficiency, decision-making processes, and environmental sustainability. Through real-time monitoring, predictive maintenance, and intelligent automation, companies have realized substantial cost reductions while improving safety standards and regulatory compliance. The platform's scalable architecture, enhanced by SAP Business Technology Platform (BTP), has facilitated better workforce management, application development, and operational agility, setting new benchmarks for industry performance while enabling seamless integration across diverse operational technologies.

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Published

2025-02-18

How to Cite

Sravan Kumar Nendrambaka. (2025). TRANSFORMING THE OIL AND GAS SECTOR WITH SAP S/4HANA CLOUD, GENERATIVE AI, AND JOULE: INNOVATIONS ACROSS UPSTREAM, MIDSTREAM, AND DOWNSTREAM OPERATIONS. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 8(1), 2725-2740. https://ijrcait.com/index.php/home/article/view/IJRCAIT_08_01_196