Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques
Abstract This study introduces the application of Stacking Ensemble Learning in petroleum engineering, marking a significant advancement in oil production rate forecasting. Unlike traditional forecasting methods, which often rely on single-model approaches with limited adaptability to complex, the m...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-03-01
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| Series: | Journal of Petroleum Exploration and Production Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13202-025-01976-y |
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