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Cited article:

Research on porosity prediction method for petroleum reservoirs based on improved gene expression algorithm

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Journal of Physics: Conference Series 2858 (1) 012009 (2024)
https://doi.org/10.1088/1742-6596/2858/1/012009

ResNet and CWT Fusion: A New Paradigm for Optimized Heterogeneous Thin Reservoir Evaluation

Saima Akram, Gulraiz Akhter, Yonggang Ge and Tahir Azeem
ACS Omega 9 (4) 4775 (2024)
https://doi.org/10.1021/acsomega.3c08169

The application of the PNN algorithm to evaluate the petrophysical properties of the heterogeneous E-sand reservoirs, Lower Goru Formation, Pakistan

MonaLisa, Syed A. Ahmed, Muyyassar Hussain and Zahid U. Khan
Kuwait Journal of Science (2023)
https://doi.org/10.1016/j.kjs.2023.02.032

Porosity prediction using Fuzzy SVR and FCM SVR from well logs of an oil field in south of Iran

Nastaran Moosavi, Majid Bagheri, Majid Nabi-Bidhendi and Reza Heidari
Acta Geophysica 71 (2) 769 (2022)
https://doi.org/10.1007/s11600-022-00944-y

Selection of Sensitive Post-Stack and Pre-Stack Seismic Inversion Attributes for Improved Characterization of Thin Gas-Bearing Sands

Urooj Shakir, Aamir Ali, Muyyassar Hussain, Tahir Azeem and Lamuail Bashir
Pure and Applied Geophysics 179 (1) 169 (2022)
https://doi.org/10.1007/s00024-021-02900-1