Learning-based pattern-data-driven forecast approach for predicting future well responses
Abstract Forecasting well responses, such as flow rates and pressures, is crucial for effective reservoir management and investment decision-making in the development of subsurface reservoir resources. Recently, data-driven forecast methods, such as data-space inversion (DSI) and a learning-based da...
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Main Authors: | Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-02-01
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Series: | Journal of Petroleum Exploration and Production Technology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13202-025-01937-5 |
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