Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration
A deep-learning-based surrogate model capable of predicting flow and geomechanical
responses in CO 2 storage operations is presented and applied. The 3D recurrent RU-Net …
responses in CO 2 storage operations is presented and applied. The 3D recurrent RU-Net …
A multi-dimensional parametric study of variability in multi-phase flow dynamics during geologic CO2 sequestration accelerated with machine learning
Successful geologic CO 2 storage projects depend on numerical simulations to predict
reservoir performance during site selection, injection verification, and post-injection …
reservoir performance during site selection, injection verification, and post-injection …
Micro mechanical behavior and strain localization of oil well cement corroded by CO2
Revealing the micro deformation mechanism of oil well cement after CO 2 corrosion is
crucial for evaluating wellbore integrity during CO 2 geological storage. In this study, in-situ …
crucial for evaluating wellbore integrity during CO 2 geological storage. In this study, in-situ …
Data-space approaches for uncertainty quantification of CO2 plume location in geological carbon storage
W Sun, LJ Durlofsky - Advances in water resources, 2019 - Elsevier
A data-space inversion (DSI) method is developed and applied to quantify uncertainty in the
location of CO 2 plumes in the top layer of a storage aquifer. In the DSI procedure, posterior …
location of CO 2 plumes in the top layer of a storage aquifer. In the DSI procedure, posterior …
Deep learning-based geological parameterization for history matching CO2 plume migration in complex aquifers
History matching is crucial for reliable numerical simulation of geological carbon storage
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
CO2 plume and pressure monitoring through pressure sensors above the caprock
Commercial-scale development of CO 2 geological storage necessitates robust and real-
time monitoring methods to track the injected CO 2 plume and provide assurance of CO 2 …
time monitoring methods to track the injected CO 2 plume and provide assurance of CO 2 …
Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching
Deep-learning-based surrogate models show great promise for use in geological carbon
storage operations. In this work we target an important application—the history matching of …
storage operations. In this work we target an important application—the history matching of …
Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning
A Tadjer, RB Bratvold - Energies, 2021 - mdpi.com
Carbon capture and storage (CCS) has been increasingly looking like a promising strategy
to reduce CO 2 emissions and meet the Paris agreement's climate target. To ensure that …
to reduce CO 2 emissions and meet the Paris agreement's climate target. To ensure that …
Dynamic characterization of geologic CO2 storage aquifers from monitoring data with ensemble Kalman filter
Monitoring the evolution of the CO 2 plume during geologic storage is essential for
conformance, verification, and risk assessment and mitigation. Monitoring data also play a …
conformance, verification, and risk assessment and mitigation. Monitoring data also play a …
Surrogate Model for Geological CO2 Storage and Its Use in MCMC-based History Matching
Deep-learning-based surrogate models show great promise for use in geological carbon
storage operations. In this work we target an important application-the history matching of …
storage operations. In this work we target an important application-the history matching of …