Decarbonization

ML-Based Co-Optimization Framework Improves CO₂ Sequestration and Oil Recovery

This paper presents a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological carbon dioxide storage in saline aquifers.

Static model of the reservoir showing the cell top depthalong with the wells distribution in the reservoir and the aquifer..
Static model of the reservoir showing the cell top depthalong with the wells distribution in the reservoir and the aquifer..
Source: SPE 224150.

This work combines CO2-enhanced oil recovery (EOR) methods with subsurface containment strategies to permanently store CO2 while simultaneously increasing cost-effective oil production from reservoirs. The study develops a novel workflow with multiobjective optimization techniques to assess the integration of pressure-management methodologies for permanent geological CO2 storage in saline aquifers.

Methodology

Reservoir Model Description. A homogeneous reservoir model, representative of typical Gulf of Mexico formations, was constructed using a nonisothermal modeling code for the purpose of the project. The model features a shale layer separating an oil reservoir from an aquifer, allowing the assessment of simultaneous CO2-EOR and CO2 sequestration. The model was designed under a compositional multicomponent system using the EOS-PVT E300 simulator.

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