Python codes for modelling elastic and seismic properties in rocks
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Updated
May 20, 2024 - Jupyter Notebook
Python codes for modelling elastic and seismic properties in rocks
Python package to assist in providing quick-look or preliminary petrophysical estimation.
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
Welly helps with well loading, wireline logs, log quality, data science
Borehole measurement interpretation and modeling.
A Python Package for Petrophysical Evaluation
Bag of really useful geoscience equations and stuff
Lithology and stratigraphic logs for wells or outcrop.
TotalDepth is capable of processing and analysing petrophysical wireline logs.
Prova de conceito do curso MBA BI Master da PUC-RJ. Aplicação de dados de petrografia e petrofísica em amostras de rocha coletadas em um sistema cárstico.
LAS Explorer is a Streamlit web app that allows you to understand the contents of a LAS file. Also includes the ability to identify missing data intervals.
The notebook shows the principle behind the minimum incremental pore volume (MIPV) and estimating the effective pore-throat radius (EPTR) as outlined in steps in the paper above.
The notebook demonstrates the workflow for obtaining pore size distribution from binarized micro-CT images. The general principle involves identifying each pore, estimating the volume of each pore, and ultimately determining the radius of a sphere with an equivalent volume of each pore.
Oil Well Wireline Log Analysis
The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.
The Website of Society of Petrophysics and Well Log Analyst - Chapter Indonesia
This repository employs NMR log echo train inversion using Scipy optimization with Tikhonov regularization, which adds a penalty term equal to the sum of the squares of the parameters. This project has both a Jupyter Notebook as well as a Geolog project.
Predicted Pore Pressure using a Multi-layer perceptron (MLP) artificial neural network.
An R package for reading Log Ascii Standard (LAS) files for well log data.
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