US-based Halliburton has announced a collaboration with Petronas exploration and production (E&P) subsidiary Petronas Carigali to deploy next-generation subsurface modelling and reservoir management solutions.
This partnership aims to integrate exploration and development workflows and expedite the process of achieving first oil production.
Petronas will implement Halliburton DecisionSpace 365 Geosciences Suite and Unified Ensemble Modelling solutions.
The next-generation technologies represent a leap forward from conventional grid-based modelling and deterministic reservoir forecasting.
They are designed to facilitate real-time collaboration among Petronas Carigali's exploration and asset teams, using a unified live earth model to improve reserve estimations through ensemble modelling.
The Geosciences Suite's scalable earth modelling ensures geological fidelity at all scales, from basin-wide perspectives to individual fields.
This consistency in data and models from exploration to development supports quicker project maturation through the Front-End Loading process.
Petronas Carigali CEO and senior vice-president of Malaysia Asset Hazli Sham Kassim said: “A harmonized, AI-assisted workflow anchored on a single live-earth model across the exploration and development phases is central to our strategy in achieving our ambitious project delivery targets.”
The Unified Ensemble Modelling solution enables the automation of multiple probabilistic geological scenarios while incorporating real-time reservoir flow data, enhancing forecast accuracy, expediting scenario analysis and bolstering confidence in decision-making.
Petronas exploration vice-president Ahmad Faisal Bakar added: “Adopting DecisionSpace 365 Geosciences Suite and Unified Ensemble Modelling solutions aligns with PETRONAS’ vision to accelerate our project deliveries and ensure seamless continuity from exploration through development and production.”
Earlier this month, Chevron USA and Halliburton introduced innovative intelligent hydraulic fracturing technology in Colorado, US.
This technology employs a closed-loop, feedback-driven system aimed at optimising energy delivery into wellbores.
