[HTML][HTML] Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review
Physical and biogeochemical heterogeneity dramatically impacts fluid flow and reactive
solute transport behaviors in geological formations across scales. From micro pores to …
solute transport behaviors in geological formations across scales. From micro pores to …
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 …
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
Ongoing anthropogenic carbon dioxide (CO 2) emissions to the atmosphere cause severe
air pollution that leads to complex changes in the climate, which pose threats to human life …
air pollution that leads to complex changes in the climate, which pose threats to human life …
Predicting CO2 trapping in deep saline aquifers using optimized long short-term memory
A sustainable environment by decreasing fossil fuel utilization and anthropogenic
greenhouse gases is a globally main goal due to climate change and serious air pollution …
greenhouse gases is a globally main goal due to climate change and serious air pollution …
[HTML][HTML] Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones
H Vo Thanh, Y Sugai, K Sasaki - Scientific reports, 2020 - nature.com
Abstract Residual Oil Zones (ROZs) become potential formations for Carbon Capture,
Utilization, and Storage (CCUS). Although the growing attention in ROZs, there is a lack of …
Utilization, and Storage (CCUS). Although the growing attention in ROZs, there is a lack of …
[HTML][HTML] 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 …
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
Emissions of carbon dioxide (CO 2) are a major source of atmospheric pollution contributing
to global warming. Carbon geological sequestration (CGS) in saline aquifers offers a …
to global warming. Carbon geological sequestration (CGS) in saline aquifers offers a …
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 …
Laboratory demonstration of the stability of CO2 hydrates in deep-oceanic sediments
MF Qureshi, J Zheng, H Khandelwal… - Chemical Engineering …, 2022 - Elsevier
Naturally occurring methane (CH 4) hydrates in oceanic sediments have been stable for
millions of years. As a natural analog, is it possible to store carbon dioxide (CO 2) in the form …
millions of years. As a natural analog, is it possible to store carbon dioxide (CO 2) in the form …
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 …