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Machine Learning Rev8 Unmarked by soliman anwar is a document available to read on EtoBox.

What is Machine Learning Rev8 Unmarked about?

The document discusses a study on predicting permeability in tight carbonate rocks using machine learning techniques, specifically artificial neural networks and genetic algorithms. The study analyzed a dataset of 130 core plugs from the Portland Formation, revealing that machine learning methods outperformed conventional models in predicting permeability. The findings suggest that these techniques can effectively model the complex diagenetic processes affecting pore microstructures in tight carbonates.

Author

soliman anwar

Language

EN