Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s11440-021-01257-y.pdf
Reference56 articles.
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3. Rashid F, Glover P, Lorinczi P, Hussein D, Collier R, Lawrence J (2015) Permeability prediction in tight carbonate rocks using capillary pressure measurements. Mar Petrol Geol 68:536–550
4. Brigaud B, Vincent B, Durlet C, Deconinck J-F, Blanc P, Trouiller A (2010) Acoustic properties of ancient shallow-marine carbonates: effects of depositional environments and diagenetic processes (Middle Jurassic, Paris Basin, France). J Sediment Res 80(9):791–807
5. Rashid F, Glover P, Lorinczi P, Hussein D, Lawrence J (2017) Microstructural controls on reservoir quality in tight oil carbonate reservoir rocks. J Petrol Sci Eng 156:814–826
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