A review of developments in carbon dioxide storage
Carbon capture and storage (CCS) has been identified as an urgent, strategic and essential
approach to reduce anthropogenic CO 2 emissions, and mitigate the severe consequences …
approach to reduce anthropogenic CO 2 emissions, and mitigate the severe consequences …
Geothermal technology: Trends and potential role in a sustainable future
A Anderson, B Rezaie - Applied Energy, 2019 - Elsevier
Rapid population growth as well as modern technology reliance lead to a greater demand
for energy consumption. An ever growing focus on creating sustainable environment …
for energy consumption. An ever growing focus on creating sustainable environment …
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 …
Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience
P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier
Greenhouse gas emissions cause serious global climate change, and it is urgent to curb CO
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …
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 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 …
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 …
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 …
Optimum design of CO2 storage and oil recovery under geological uncertainty
This paper presents an integrated numerical framework to co-optimize EOR and CO 2
storage performance under uncertainty in the Farnsworth Unit (FWU) oil field in Ochiltree …
storage performance under uncertainty in the Farnsworth Unit (FWU) oil field in Ochiltree …