Relative Permeability Modeling Using Extra Trees, ANFIS, and Hybrid LSSVM–CSA Methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s11053-021-09950-1.pdf
Reference201 articles.
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4. Ahmadi, M.-A., Ahmadi, M.-R., Hosseini, S.-M., & Ebadi, M. (2014). Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence. Journal of Petroleum Science and Engineering, 123, 183–200.
5. Ahmadi, M.-A., Zendehboudi, S., Dusseault, M. B., & Chatzis, I. (2016). Evolving simple-to-use method to determine water–oil relative permeability in petroleum reservoirs. Petroleum, 2(1), 67–78.
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