Review of technological progress in carbon dioxide capture, storage, and utilization
Emissions of substantial amounts of greenhouse gases (GHG) accumulating in the
atmosphere have caused climate alterations and increased global temperatures. Several …
atmosphere have caused climate alterations and increased global temperatures. Several …
A critical review of CO2 mineral trapping in sedimentary reservoirs–from theory to application: Pertinent parameters, acceleration methods and evaluation workflow
Prolonged increase in atmospheric concentration of CO 2 has led to global warming. One
promising way to alleviate this problem is geological CO 2 storage (GCS) in sedimentary …
promising way to alleviate this problem is geological CO 2 storage (GCS) in sedimentary …
Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project
Carbon geological sequestration (CGS) in saline aquifers is an effective carbon utilization
approach to decrease the effect of greenhouse gases on the atmosphere. However, the …
approach to decrease the effect of greenhouse gases on the atmosphere. However, the …
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 …
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 …
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 …
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 …
An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping …
Carbon dioxide (CO 2) emission is an emergency issue in terms of environmental pollution.
Estimation of carbon capture, utilization, and storage (CCUS) is a necessary task that …
Estimation of carbon capture, utilization, and storage (CCUS) is a necessary task that …
CCSNet: a deep learning modeling suite for CO2 storage
Numerical simulation is an essential tool for many applications involving subsurface flow
and transport, yet often suffers from computational challenges due to the multi-physics …
and transport, yet often suffers from computational challenges due to the multi-physics …
Robust machine learning models of carbon dioxide trapping indexes at geological storage sites
H Vo-Thanh, MN Amar, KK Lee - Fuel, 2022 - Elsevier
Geological carbon dioxide (CO 2) storage (GCS) in saline aquifers has been recognized as
a promising way to slow down global CO 2 emissions. The residual and solubility trapping …
a promising way to slow down global CO 2 emissions. The residual and solubility trapping …