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A Framework for Predicting the Porosity and Permeability of Petro Physical Rock Types using Random Forest Classifier
Author(s) -
P. S. Ezekiel,
O. E. Taylor,
M. O. Musa
Publication year - 2022
Publication title -
international journal of advanced research in computer and communication engineering
Language(s) - English
Resource type - Journals
eISSN - 2319-5940
pISSN - 2278-1021
DOI - 10.17148/ijarcce.2022.11117
Subject(s) - random forest , porosity , classifier (uml) , permeability (electromagnetism) , geology , artificial intelligence , soil science , geotechnical engineering , computer science , chemistry , biochemistry , membrane

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