Artificial Intelligence in the Malaysian Oil and Gas Industry
The application of artificial intelligence across Malaysia's oil and gas sector, spanning exploration, production, maintenance and safety, led primarily by Petronas and its technology partners.
Overview
The oil and gas industry is one of the most significant adopters of artificial intelligence in Malaysia, driven by the national oil corporation Petronas and its network of technology partners. AI is applied across the value chain, from subsurface exploration and reservoir analysis to drilling optimisation, predictive maintenance of equipment, and safety monitoring. The sector's vast volumes of seismic, sensor and operational data make it well suited to machine learning, while the high cost of offshore operations creates strong incentives to improve efficiency.
Exploration and subsurface analysis
A major focus is the use of AI to interpret subsurface data and accelerate exploration, particularly in the mature Malay Basin offshore Peninsular Malaysia. In November 2024, Petronas, through Malaysia Petroleum Management, partnered with Earth Science Analytics and Amazon Web Services to apply machine learning to seismic and well data, enhancing the myPROdata platform used to attract exploration investment. Machine learning models help geoscientists identify prospects, characterise reservoirs and reduce the time required to interpret large datasets.
In 2025 Petronas expanded these efforts, signing agreements at Energy Asia 2025 in Kuala Lumpur with partners including Microsoft, SLB, Halliburton, Accenture and others, focused on agentic AI and high-performance computing. Through TriCipta, a venture involving Beicip-Franlab and the Malaysian firm AFED Digital, the company is co-developing AI tools spanning exploration, development and production.
Production, maintenance and safety
Beyond exploration, AI supports predictive maintenance, in which sensor data from pumps, compressors and offshore platforms is analysed to anticipate equipment failure before it occurs, reducing unplanned downtime. Machine learning also assists production optimisation, drilling automation and the monitoring of pipelines and facilities for leaks or anomalies. Computer vision and analytics contribute to workplace safety by detecting hazards and monitoring compliance in hazardous environments.
Strategic context
Petronas leadership has described AI as a foundational technology for navigating the energy trilemma of security, affordability and sustainability. The company frames AI investment as essential to maintaining production from mature fields, lowering costs and supporting its energy-transition commitments. This positions Malaysia's national oil company among the more active adopters of AI in the regional energy sector.
References
- Petronas. (2024). Petronas Harnesses AI for Data-Driven Investor Decisions in Malaysia's E&P Sector. Media release.
- Petronas. (2025). Petronas Strengthens Global Collaboration on AI Integration Ecosystem and High-Performance Computing. Media release.
- Rigzone. (2025). Petronas Forges AI, Digital Partnerships.