Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review
Carbon capture, utilisation and storage (CCUS) will play a critical role in future
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of …
A review of risk and uncertainty assessment for geologic carbon storage
Carbon capture, utilization, and storage (CCUS) in geological formations play a key role in
mitigating anthropogenic CO 2 emissions and achieving the aggressive goal of net-zero …
mitigating anthropogenic CO 2 emissions and achieving the aggressive goal of net-zero …
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 …
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 …
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 …
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 …
A survey on industry 4.0 for the oil and gas industry: upstream sector
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …
impact of COVID-19, and the push for alternative greener energy are driving the need for …
[HTML][HTML] A survey on the application of machine learning and metaheuristic algorithms for intelligent proxy modeling in reservoir simulation
CSW Ng, MN Amar, AJ Ghahfarokhi… - Computers & Chemical …, 2023 - Elsevier
Abstract Machine Learning (ML) has demonstrated its immense contribution to reservoir
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
engineering, particularly reservoir simulation. The coupling of ML and metaheuristic …
Numerical simulation and optimization of injection rates and wells placement for carbon dioxide enhanced gas recovery using a genetic algorithm
The aim of CO 2 enhanced gas recovery (CO 2-EGR) is to extract more natural gas from
depleted gas reservoirs and simultaneously sequestrate large amount of CO 2. To achieve …
depleted gas reservoirs and simultaneously sequestrate large amount of CO 2. To achieve …
Microscopic transport and phase behaviors of CO2 injection in heterogeneous formations using microfluidics
CO 2 injection into the geological formations is a promising option to enhance oil recovery
while simultaneously contributing to carbon storage. Conventional core tests provide critical …
while simultaneously contributing to carbon storage. Conventional core tests provide critical …