| dc.contributor.author | Bhattacharyya, Subhrajyoti | |
| dc.contributor.author | Vyas, Aditya | |
| dc.date.accessioned | 2026-08-20T11:17:27Z | |
| dc.date.available | 2026-08-20T11:17:27Z | |
| dc.date.copyright | 2026/01/08 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JLEED9.EYENG-6060.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311978 | |
| dc.description.abstract | AbstractReservoir simulation is essential for field development and well planning through
the estimation of pressure, saturation distribution, and production rate decline prediction.
One of the primary objectives of the simulation is to predict the ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Machine-Learning Application for Fast 3-Phase Black Oil Reservoir Simulation | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Journal of Energy Engineering | |
| dc.identifier.doi | 10.1061/JLEED9.EYENG-6060 | |
| dc.journal.fristpage | 04026002-1 | |
| dc.journal.lastpage | 04026002-9 | |
| dc.page | 9 | |
| dc.tree | Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 002 | |
| dc.contenttype | Fulltext | |
