Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers
Carbon dioxide storage in underground saline aquifers is considered a promising technique
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
for decreasing atmospheric CO 2 emissions. The CO 2 residual and solubility in deep saline …
Application of machine learning to predict CO2 trapping performance in deep saline aquifers
HV Thanh, KK Lee - Energy, 2022 - Elsevier
Deep saline formations are considered potential sites for geological carbon storage. To
better understand the CO 2 trapping mechanism in saline aquifers, it is necessary to develop …
better understand the CO 2 trapping mechanism in saline aquifers, it is necessary to develop …
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern–a theoretical study
The utilization of CO 2 flooding is a widely applied enhanced oil recovery (EOR) technique
in mature onshore oil fields. As well as being able to increase oil production and recovery it …
in mature onshore oil fields. As well as being able to increase oil production and recovery it …
Impact of a new geological modelling method on the enhancement of the CO2 storage assessment of E sequence of Nam Vang field, offshore Vietnam
H Vo Thanh, Y Sugai, K Sasaki - Energy Sources, Part A: Recovery …, 2020 - Taylor & Francis
This study proposed a new geological modelling procedure for CO2 storage assessment in
offshore Vietnam by integrating artificial neural networks, co-kriging and object-based …
offshore Vietnam by integrating artificial neural networks, co-kriging and object-based …
Density-Driven Convection for CO2 Solubility Trapping in Saline Aquifers: Modeling and Influencing Factors
Y Chen, S Chen, D Li, X Jiang - Geotechnics, 2023 - mdpi.com
Industrial development has significantly increased the concentration of CO2 in the
atmosphere, resulting in the greenhouse effect that harms the global climate and human …
atmosphere, resulting in the greenhouse effect that harms the global climate and human …
[HTML][HTML] Carbon dioxide storage and cumulative oil production predictions in unconventional reservoirs applying optimized machine-learning models
To achieve carbon dioxide (CO 2) storage through enhanced oil recovery, accurate
forecasting of CO 2 subsurface storage and cumulative oil production is essential. This study …
forecasting of CO 2 subsurface storage and cumulative oil production is essential. This study …
Uncertainty Analysis of CO2 Storage in Deep Saline Aquifers Using Machine Learning and Bayesian Optimization
Geological CO2 sequestration (GCS) has been proposed as an effective approach to
mitigate carbon emissions in the atmosphere. Uncertainty and sensitivity analysis of the fate …
mitigate carbon emissions in the atmosphere. Uncertainty and sensitivity analysis of the fate …
The influence of temperature on wettability alteration during CO2 storage in saline aquifers
The wettability of a formation is defined as the tendency of one fluid to spread on a surface in
competition with other fluids which are also in contact with it. However, the impact of …
competition with other fluids which are also in contact with it. However, the impact of …
Modeling and Evaluating CO2 Storage Capacity in Saline Aquifer with Modified Brine Density Using Electrolyte Perturbed-Channel Statistical Associating Fluid …
L Han, Y Zhang, J Hu - Energy & Fuels, 2024 - ACS Publications
The emission of greenhouse gases, especially carbon dioxide (CO2), is a major contributor
to global climate change and the ecological environment. Geological storage of CO2 in …
to global climate change and the ecological environment. Geological storage of CO2 in …
Simulated CO2 storage efficiency factors for saline formations of various lithologies and depositional environments using new experimental relative permeability data
Saline formations are attractive geologic reservoirs for permanent carbon dioxide (CO 2)
storage. The US Department of Energy's National Energy Technology Laboratory (DOE …
storage. The US Department of Energy's National Energy Technology Laboratory (DOE …