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A Hybrid Model for Deliverability Prediction in Fractured Tight Sandstone Energy Storage Reservoirs

Fractured tight sandstone reservoirs are promising targets for underground energy storage, but their heterogeneous nature and often-incomplete historical test data pose significant challenges for accurate deliverability prediction and reservoir evaluation. To address this, a novel hybrid methodology...

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Principais autores: Dengfeng Ren, Ju Liu, Chengwen Wang, Xin Qiao, Junyan Liu, Fen Peng
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-04-01
Serier:Energies
Fag:
fractured tight sandstone reservoir
energy storage
deliverability prediction
hybrid model
machine learning
reservoir classification
Online adgang:https://www.mdpi.com/1996-1073/19/7/1800
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