Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm

Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm

Unconventional reservoirs are characterized by intricate fluid-phase behaviors, and physics-based shale oil well productivity prediction models often exhibit substantial deviations due to oversimplified theoretical frameworks and challenges in parameter acquisition. Under these circumstances, data-d...

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Bibliographic Details
Main Authors: Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
production prediction
neural network deep learning
shale oil reservoirs
fracturing horizontal wells
Online Access:https://www.mdpi.com/1996-1073/18/10/2523
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