Python library for reading and writing well data using Log ASCII Standard (LAS) files
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Updated
Feb 13, 2026 - Lasso
Python library for reading and writing well data using Log ASCII Standard (LAS) files
This GitHub repository created a code script that can effectively display well log parameter plots and their animations.
A Clockwork RNN model to train on compressional velocity (Vp), formation density (Rhob), gamma ray (Gr), and resistivity (Rt) logs to predict Neutron Porosity (Nphi)
Machine learning project for lithology classification from well log data using XGBoost. Predicts Sandstone, Shale, and Limestone from petrophysical logs.
Автоматическая интерпретация LAS
ML pipeline to predict subsurface geology (TVT) along horizontal wellbores — Kaggle Featured Competition | LightGBM | CV RMSE: 0.393
Jupyter Notebook for exporting Warrior 8 data to WellCAD ASCII formats via LIS
WinUI 3 wireline Variable Density Log chart, .NET 10 C# - acoustic cement bond visualization using a contour-injection technique that eliminates smearing on large datasets. Real FORGE 16A(78)-32 data, DLIS script included. PesgoWinUI.
Code from a study to perform segmentation semantic using well log data from a coal deposit.
ProEssentials WPF .NET 8 chart sample — wireline Variable Density Log (VDL) acoustic visualization with a contour-injection rendering technique that eliminates smearing on large datasets. Real FORGE 16A(78)-32 cement bond log data; DLIS conversion script included.
1D-CNN for automated lithology classification from well logs using Leave-One-Well-Out (LOWO) cross-validation — undergraduate thesis project.
Open source ecosystem for water well data — the .well open format, a D3 profile renderer, and a web app for hydrogeologists.
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