AI-Based Intelligent Decision-Making Platform for Operational Excellence in the Oil and Gas Industry
The integration of artificial intelligence (AI) in the oil and gas industry has revolutionized operational processes, enabling organizations to overcome complex challenges and improve efficiency. This study has explored the development and implementation of a suite of AI-based intelligent systems by CNPCNP Petroleum S.A. (CNPCNP) to enhance decision-making, optimize resource utilization, and address critical challenges in its Niger operations. By leveraging advanced AI technologies, including deep learning, business intelligence (BI), natural language processing (NLP), and robotic process automation (RPA), CNPCNP has developed the Intelligent Decision-Making Platform for finance, planning, human resources, security, and health management. The Intelligent Decision-Making Platform has provided an integrated governance and data intelligence system, connecting all the “silo” data and creating infinite intelligent analytical data models with very limited amount of code and “drag-and-drop” methods. This system offers real-time insights, streamline operations, and improve organizational performance. This paper serves as a reference for leveraging AI in resourcelimited and high-security environments, contributing to the broader discourse on digital transformation in the energy industry.
Authors
- Zong Tian (ORCID: https://orcid.org/0000-0003-2554-3936)
- Xiang Ma (ORCID: https://orcid.org/0000-0001-6465-0254)
- Xiao Dong He (ORCID: https://orcid.org/0000-0002-4199-8175)
- Xiaoxiong Li
- Yin Wang (ORCID: https://orcid.org/0009-0001-5340-3482)
- Siwei Peng (ORCID: https://orcid.org/0000-0002-4919-1288)
Institutions
- China National Petroleum Corporation (China) (CN)
Publication Details
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1109/ainit65432.2025.11035727
- Citations
- 1
- Primary Topic
- Reservoir Engineering and Simulation Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.15