A robust deep learning workflow to predict multiphase flow behavior during geological CO2 sequestration injection and Post-Injection periods

On the feasibility of using physics-informed machine learning for underground reservoir pressure management

(2021) Dylan Robert Harp et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effect of geological heterogeneities on reservoir storage capacity and migration of CO2 plume in a deep saline fractured carbonate aquifer

(2021) M. Adeel Sohal et al.   International Journal of Greenhouse Gas Control

Predicting CO 2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network

(2019) Zhi Zhong et al.   WATER RESOURCES RESEARCH

Reducing uncertainty in geologic CO2 sequestration risk assessment by assimilating monitoring data

(2019) Bailian Chen et al.   International Journal of Greenhouse Gas Control

Geologic CO 2 sequestration monitoring design: A machine learning and uncertainty quantification based approach

(2018) Bailian Chen et al.   APPLIED ENERGY

Local capillary trapping in carbon sequestration: Parametric study and implications for leakage assessment

(2018) Bo Ren   International Journal of Greenhouse Gas Control

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Thermodynamics and ANN models for predication of the equilibrium CO 2 solubility in aqueous 3-dimethylamino-1-propanol solution

(2017) Chen Li et al.   International Journal of Greenhouse Gas Control

Probabilistic analysis of CO 2 storage mechanisms in a CO 2 -EOR field using polynomial chaos expansion

(2016) Wei Jia et al.   International Journal of Greenhouse Gas Control

Coupled multi-phase thermo-poromechanical effects. Case study: CO2 injection at In Salah, Algeria

(2011) Matthias Preisig et al.   International Journal of Greenhouse Gas Control