- Halliburton (HAL, Financial) partners with PETRONAS Carigali to advance subsurface modeling and reservoir management.
- The collaboration involves deploying Halliburton's DecisionSpace®365 Geosciences Suite and Unified Ensemble Modeling solutions.
- This initiative aims to unify exploration and development workflows, expediting time to first oil.
Halliburton (HAL) announced a strategic collaboration with Malaysia's PETRONAS Carigali Sdn. Bhd. to enhance subsurface modeling and reservoir management technologies. This collaboration will see the deployment of Halliburton Landmark's DecisionSpace®365 Geosciences Suite and Unified Ensemble Modeling solutions by PETRONAS Carigali.
The partnership aims to unify exploration and development workflows, significantly reducing the time to first oil. Halliburton's cutting-edge scalable earth modeling and ensemble workflows represent a significant advancement from traditional grid-based modeling techniques. These innovations are poised to enable real-time collaboration among PETRONAS Carigali's exploration and asset teams, leveraging a unified live earth model to achieve more accurate reserve estimations through ensemble modeling techniques.
The Geosciences Suite facilitates scalable earth modeling that retains geological fidelity across various scales, from basin-wide to individual fields, ensuring a consistent data and modeling flow from exploration to development. Furthermore, the Unified Ensemble Modeling solution permits asset teams to automate the creation of multiple probabilistic geological scenarios, integrating real-time reservoir flow data. This methodology enhances forecast precision, accelerates scenario analysis, and boosts confidence in decision-making.
Senior executives from both companies highlighted the strategic value of the collaboration. Tony Antoun, Senior Vice President of Landmark Software and Services, emphasized the transformative nature of their technologies in tackling unique challenges and enhancing asset value. Meanwhile, PETRONAS executives underscored the alignment of this initiative with their vision to accelerate project deliveries, ensuring seamless continuity from exploration through to production.
This partnership is part of a broader effort by PETRONAS to incorporate AI and machine learning into its reservoir practices, aiming to drive efficiency and generate deeper insights into subsurface modeling.
