GitHub / J-DHARANEESH / Pressure-Prophet

This project demonstrates the use of machine learning models to estimate a pore pressure proxy using geological well log data. Based on the Well Log Facies Dataset, the project simulates pore pressure from petrophysical features like GR, ILD_log10, PE, DeltaPHI, PHIND, NM_M, and RELPOS. Multiple regression models—including Linear Regression, Ridge

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PURL: pkg:github/J-DHARANEESH/Pressure-Prophet

Topics: geological-data, linear-regression, python, random-forest, ridgeregression, sklearn, supportvectorregression, xgboost

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