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Home » Petronas signs strategic AI partnership with Geoteric to accelerate hydrocarbon exploration
Executive Moves

Petronas signs strategic AI partnership with Geoteric to accelerate hydrocarbon exploration

omc_adminBy omc_adminSeptember 17, 2025No Comments2 Mins Read
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Geoteric, a global leader in AI-driven seismic interpretation, has signed a landmark agreement with PETRONAS Carigali Sdn. Bhd., the upstream arm of Malaysia’s state-owned PETRONAS, to strengthen their strategic collaboration and accelerate the adoption of artificial intelligence in exploration.

The agreement marks a step-change in PETRONAS Carigali’s digital transformation strategy, enabling faster identification of new hydrocarbon prospects, improved drilling success rates, and expedited project execution across its global portfolio.

Geoteric’s AI-powered seismic interpretation software integrates seamlessly into existing geoscience workflows and has already proven to reduce cycle times by up to 90%. By combining human expertise with machine learning, the platform enhances decision-making and delivers quicker returns on seismic data investments.

Under the multi-year agreement, PETRONAS Carigali will deploy Geoteric’s AI technology across its operations worldwide, gaining standardized project execution and contributing to long-term value creation. The partnership also positions PETRONAS Carigali at the forefront of developing new geoscience technologies and workflows in collaboration with Geoteric.

Jan Grimnes, Chairman at Geoteric, said the agreement builds on an existing partnership and underscores the software company’s growing role in the industry.

“This collaboration will not only transform Geoteric’s development direction and how projects are delivered, it also aligns innovation with PETRONAS’ strategic goals—making Geoteric a central driver of PETRONAS’ success,” Grimnes said.

The partnership highlights how upstream operators are increasingly turning to AI solutions to accelerate exploration, standardize operations, and improve efficiency in the competitive energy landscape.

 



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