Machine-Predict-Lithologies-Using-Wireline-logs and Lithology-Prediction-with-Machine-Learning

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License: MIT
Stars: 4
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Language: Jupyter Notebook
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About Machine-Predict-Lithologies-Using-Wireline-logs

RamySaleem/Machine-Predict-Lithologies-Using-Wireline-logs

To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.

This project helps geoscientists quickly identify subsurface rock types, or lithologies, from well data. You provide raw wireline log data, and it outputs predictions for different rock formations like sandstone, claystone, or limestone. Geoscientists in the oil and gas industry who need to interpret geological formations would find this useful.

geoscience oil-gas-exploration petrophysics subsurface-interpretation geological-mapping

About Lithology-Prediction-with-Machine-Learning

Promisekeh/Lithology-Prediction-with-Machine-Learning

Lithology prediction of oil well logs using machine learning

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