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Keywords: prediction
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Proceedings Papers
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE/AAPG/SEG Carbon, Capture, Utilization, and Storage Conference and Exhibition, March 3–5, 2025
Paper Number: SPE-CCUS-2025-4190271
... Abstract Petrophysical measurements and their predictions are essential for characterizing the lithology, porosity, and fluid content of CCS reservoirs—a requirement for designing an effective injection and monitoring program. Numerous methods exist for predicting density, acoustic velocity...
Proceedings Papers
Advanced CO2 Storage Capacity Estimation with EASiTool V.5
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-2024-4001383
... on robust scientific findings. This, in turn, enables a more effective and successful implementation of carbon storage initiatives. geology subsurface storage climate change geological subdiscipline geologist reservoir geomechanics prediction austin injectivity economic geology easitool...
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
... model can predict pressure and saturation fields from well locations, with all the other inputs remaining consistent with the simulation model used in the training. We investigate the performance of the network under different assumptions and for estimating different flow and geomechanical outputs...
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
... with multi-component non-isothermal simulation and high dimensionality of large-scale reservoir models. We address this challenge by proposing an accelerated deep learning-based workflow for model calibration and prediction of CO2 plume evolution in the reservoir. In the proposed workflow, a neural network...
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