Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan
During the development of middle and deep gas reservoirs in South Sichuan, conventional reservoir engineering methods—such as fracture propagation, stress-induced analysis, and numerical simulation—render productivity prediction of infilling wells laborious and ineffective in addressing variations i...
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| Natura: | Articolo |
| Lingua: | cinese |
| Pubblicazione: |
Editorial Department of Petroleum Reservoir Evaluation and Development
2025-06-01
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| Serie: | Youqicang pingjia yu kaifa |
| Soggetti: | |
| Accesso online: | https://doi.org/10.13809/j.cnki.cn32-1825/te.2025.03.015 https://red.magtech.org.cn/fileup/2095-1426/PDF/1746702067654-1259533721.pdf |
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