Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development

Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development

As the development of oilfields in China enters its middle-to-late stage, the old oilfields still occupy a dominant position in the production structure. The seepage process of reservoirs in the high Water Content Period (WCP) presents significant nonlinear and non-homogeneous evolution characterist...

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Bibliographic Details
Main Authors: Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
reservoir seepage prediction
high water content period fields
deep learning
digital twin reservoirs
Online Access:https://www.mdpi.com/2076-3417/15/11/6059
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