Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning
CO2 geological storage is an important means to decarbonize the economy, but also expensive in field applications. CO2 injection into shale gas reservoirs can significantly increase the economic incentive by enhancing shale gas production through CO2 preferential adsorption in shales. This work pres...
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| Format: | Thesis |
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Curtin University
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/91978 |
| _version_ | 1848765611108204544 |
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| author | Mansi, Moataz Khamees Abdelfattah |
| author_facet | Mansi, Moataz Khamees Abdelfattah |
| author_sort | Mansi, Moataz Khamees Abdelfattah |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | CO2 geological storage is an important means to decarbonize the economy, but also expensive in field applications. CO2 injection into shale gas reservoirs can significantly increase the economic incentive by enhancing shale gas production through CO2 preferential adsorption in shales. This work presents a practical framework to evaluate and predict the CO2 adsorption process and CH4 production in shales through a combination of numerical reservoir simulation and supervised machine learning. |
| first_indexed | 2025-11-14T11:38:00Z |
| format | Thesis |
| id | curtin-20.500.11937-91978 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:38:00Z |
| publishDate | 2023 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-919782023-05-09T04:08:41Z Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning Mansi, Moataz Khamees Abdelfattah CO2 geological storage is an important means to decarbonize the economy, but also expensive in field applications. CO2 injection into shale gas reservoirs can significantly increase the economic incentive by enhancing shale gas production through CO2 preferential adsorption in shales. This work presents a practical framework to evaluate and predict the CO2 adsorption process and CH4 production in shales through a combination of numerical reservoir simulation and supervised machine learning. 2023 Thesis http://hdl.handle.net/20.500.11937/91978 Curtin University fulltext |
| spellingShingle | Mansi, Moataz Khamees Abdelfattah Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title | Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title_full | Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title_fullStr | Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title_full_unstemmed | Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title_short | Evaluation of CO2 Injection in Shale Gas Reservoirs through Numerical Reservoir Simulation and Supervised Machine Learning |
| title_sort | evaluation of co2 injection in shale gas reservoirs through numerical reservoir simulation and supervised machine learning |
| url | http://hdl.handle.net/20.500.11937/91978 |