Enhancing co2 sequestration forecasting in deep saline aquifers an optimized machine learning and deep learning approach with CMG simulation data
| dc.contributor.author | Seenivasan B | |
| dc.date.accessioned | 2024-10-17T12:25:24Z | |
| dc.date.available | 2024-10-17T12:25:24Z | |
| dc.date.issued | 2024-05 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/3931 | |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Institute of Technology (Indian School of Mines) Dhanbad | en_US |
| dc.subject | Saline aquifer | en_US |
| dc.subject | Heterogeneous model | en_US |
| dc.subject | Reservoir simulation | en_US |
| dc.subject | DIST | en_US |
| dc.subject | DS1488 | en_US |
| dc.subject | PE | en_US |
| dc.title | Enhancing co2 sequestration forecasting in deep saline aquifers an optimized machine learning and deep learning approach with CMG simulation data | en_US |
| dc.type | Thesis | en_US |
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