Predict thermal properties; thermal conductivity, specific heat capacity and thermal diffusivity.
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Updated
Aug 14, 2024 - Jupyter Notebook
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petrophysical-well-logs
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Predicted Pore Pressure using a Multi-layer perceptron (MLP) artificial neural network.
machine-learning
deep-learning
artificial-neural-networks
petrophysics
multilayer-perceptron-network
pore-pressure-prediction
geomechanics
petrophysical-well-logs
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Updated
Feb 28, 2023 - Jupyter Notebook
Petrophysic is a Python library developed to assist in the processing of Nuclear Magnetic Resonance (NMR) data, obtaining parameters such as porosity, T2 components, and permeability, as well as providing tools for data visualization. This project is part of a postgraduate work and aims to provide efficient tools for relaxation data analysis.
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Updated
Jul 15, 2024 - Python
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