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A physics-boosted transfer learning framework for fracturing pressure prediction with scarce data

Research output: Contribution to journal › Article › peer-review

Лаборатория программных систем оптимизации добычи углеводородов

DOI

https://doi.org/10.1016/j.geoen.2025.214176
Final published version

Lei Hou
Jiangfeng Luo
Egor Dontsov
Zhengxin Zhang
Alexander Valov
Fengshou Zhang
Xiaobing Bian
Liang Fu

Original language	English
Article number	214176
Number of pages	9
Journal	Geoenergy Science and Engineering
Volume	257
DOIs	https://doi.org/10.1016/j.geoen.2025.214176
Publication status	Published - Feb 2026

OECD FOS+WOS

2.07 ENVIRONMENTAL ENGINEERING

Research areas

Hydraulic fracturing, Pressure prediction, Scarce data, Shale gas, Transfer learning

ID: 68994093