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Neural networks
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Proceedings Papers
De-risking Saline Aquifer-Type CO 2 Storage Resources Via Machine Learning-based Reservoir Modelling. Case Study, Bunter Sandstone Formation, Southern North Sea
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, March 11–13, 2024
Paper Number: SPE-CCUS-2024-4011841
Proceedings Papers
A Deep Learning-Based Surrogate Model for Rapid Assessment of Geomechanical Risks in Geologic CO2 Storage
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, March 11–13, 2024
Paper Number: SPE-CCUS-2024-4003166
Proceedings Papers
CO2 Plume Imaging with Accelerated Deep Learning-based Data Assimilation Using Distributed Pressure and Temperature Measurements at the Illinois Basin-Decatur Carbon Sequestration Project
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, March 11–13, 2024
Paper Number: SPE-CCUS-2024-4014874
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