The Memorandum of Understanding was signed on November 13, 2025 at the Abu Dhabi International Petroleum Exhibition and Conference. The agreement brings together SLB, Petronas, Beicip‑Franlab, ConocoPhillips, Eliis, Microsoft, PTTEP, Shell, and TotalEnergies to collaborate on next‑generation seismic imaging and AI‑driven analytics for exploration and reservoir characterization.
The partnership centers on integrating SLB’s digital platforms—such as its cloud‑based seismic data analytics suite—with AI technologies from Microsoft and other partners. SLB will provide advanced processing algorithms, machine‑learning models, and real‑time data visualization tools that can be deployed across Petronas’s exploration assets in Malaysia and beyond. The MoU also outlines joint research and development, data sharing agreements, and a framework for commercializing the resulting tools in the broader market.
This initiative aligns with SLB’s recent digital transformation, which saw digital revenue grow 7% sequentially and 25% year‑over‑year in the third quarter of 2024. By embedding AI and advanced imaging into its service portfolio, SLB positions itself to capture new revenue streams from high‑margin digital services and to deepen its footprint in the Asia‑Pacific region, where demand for efficient exploration tools is rising.
Petronas, as Malaysia’s national oil company, plays a key role in the country’s upstream sector. The MoU is expected to enhance Malaysia’s exploration capabilities, reduce time‑to‑data, and improve reservoir characterization, thereby supporting Petronas’s goal of increasing production efficiency and extending the life of its fields.
The collaboration is part of a broader industry trend toward AI adoption in oil and gas. By combining SLB’s seismic expertise with partner AI capabilities, the MoU is poised to accelerate the deployment of next‑generation exploration tools, potentially generating new revenue for SLB and strengthening its competitive position in a market that increasingly rewards digital innovation.
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