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

Journal of Applied Geophysics 2026

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Authors: Liu XiaoQI, Zhao Yang, Xie Jiaxin, Dai Yujie, Zhang Kemeng

DOI: 10.1016/j.jappgeo.2026.106157

Cited by: 1

References: 27

Fields of Study & Subjects

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

References 27