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Subsurface sedimentary structure identification using deep learning: A review
The reliable identification of subsurface sedimentary structures (ie, geologic heterogeneity)
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
is critical in various earth and environmental sciences, petroleum reservoir engineering, and …
Reactive chemical transport simulations of geologic carbon sequestration: Methods and applications
Chemical reaction simulations are considerably used to quantitatively assess the long-term
geologic carbon sequestration (GCS), such as CO 2 sequestration capacity estimations …
geologic carbon sequestration (GCS), such as CO 2 sequestration capacity estimations …
Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning
Abstract Underground hydrogen (H 2) storage (UHS) has emerged as a promising
technology to facilitate the widespread adoption of fluctuating renewable energy sources …
technology to facilitate the widespread adoption of fluctuating renewable energy sources …
Data‐worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework
Reliable characterization of subsurface structures is essential for earth sciences and related
applications. Data assimilation‐based identification frameworks can reasonably estimate …
applications. Data assimilation‐based identification frameworks can reasonably estimate …
Predicting CO2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network
Numerical simulation of flow and transport in heterogeneous formations has long been
studied, especially for uncertainty quantification and risk assessment. The high …
studied, especially for uncertainty quantification and risk assessment. The high …
Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach
Monitoring is a crucial aspect of geologic carbon dioxide (CO 2) sequestration risk
management. Effective monitoring is critical to ensure CO 2 is safely and permanently stored …
management. Effective monitoring is critical to ensure CO 2 is safely and permanently stored …
Integrating capacity and efficiency for optimal hydrogen storage site selection in saline aquifers
Hydrogen (H2) energy is a promising transition pathway from conventional fossil fuels to
sustainable clean energy. However, H2 requires a large storage capacity because of its low …
sustainable clean energy. However, H2 requires a large storage capacity because of its low …
An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network
Generating reasonable heterogeneous aquifer structures is essential for understanding the
physicochemical processes controlling groundwater flow and solute transport better. The …
physicochemical processes controlling groundwater flow and solute transport better. The …
The National Risk Assessment Partnership's integrated assessment model for carbon storage: A tool to support decision making amidst uncertainty
Abstract The US DOE-funded National Risk Assessment Partnership (NRAP) has developed
an integrated assessment model (NRAP-IAM-CS) that can be used to simulate carbon …
an integrated assessment model (NRAP-IAM-CS) that can be used to simulate carbon …
Characterization of CO2 storage and enhanced oil recovery in residual oil zones
Residual oil zones (ROZs) are reservoirs in which oil is swept over geologic time period and
exists at residual saturation. The oil in such reservoirs cannot be commercially exploited …
exists at residual saturation. The oil in such reservoirs cannot be commercially exploited …