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ML Techniques in Meyal Oil Field Analysis by Tresia is a document available to read on EtoBox.

What is ML Techniques in Meyal Oil Field Analysis about?

This study presents a machine learning approach for petrophysical evaluation in the Meyal Oilfield, utilizing well-log data to predict reservoir properties such as porosity and permeability. Supervised ML algorithms, including Random Forest Regressor and Support Vector Machines, were employed to enhance the accuracy of interpretations, while seismic data analysis provided insights into structural traps and fault systems. The findings highlight the potential of ML in optimizing hydrocarbon exploration and pr

Author

Tresia

Language

EN