Porosity prediction of tight reservoir based on an integrated convolutional neural network and long short-term memory with differential evolution optimization

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Authors: Liu XiaoQI, Zhao Yang, Xie Jiaxin, Dai Yujie, Zhang Kemeng
Cited by: 1
References: 27

Fields of Study & Subjects

Hydrocarbon exploration and reservoir analysis Reservoir Engineering and Simulation Methods Enhanced Oil Recovery Techniques

Publication details

Journal / source
Journal of Applied Geophysics
Publisher
Elsevier BV
Volume
247
Pages
106157–106157
Publication date
6 February 2026
Language
EN