2024
DOI: 10.52716/jprs.v14i1.777
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Advanced Machine Learning application for Permeability Prediction for (M) Formation in an Iraqi Oil Field

Noor alhuda K. Mohammed,
Ghanim M. Farman

Abstract: Permeability estimation is a vital step in reservoir engineering due to its effect on reservoir's characterization, planning for perforations, and economic efficiency of the reservoirs. The core and well-logging data are the main sources of permeability measuring and calculating respectively. There are multiple methods to predict permeability such as classic, empirical, and geostatistical methods. In this research, two statistical approaches have been applied and compared for permeability prediction: Multiple … Show more

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