stratigraphic machine-learning - active work moved to Predictatops

Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch

Estimation of Shear wave velocity in oil sands from other well logs

Handle classification within volcanic formation using supervised learning.

A zero-dependency JavaScript library for reading/parsing canadian well-log files (.Las files)

A LAS format toolbox

Migrated to: https://gitlab.com/Oslandia/qgis/QGeoloGIS

Basic Well Log Interpretation with python, pandas, matplotlib. Added lasio to handle LASfile input. Simplyfying vshale calculation. Added Indonesian and Simandoux equation.

Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.

El objetivo de este proyecto es obtener un método tal que la computadora sea capaz de realizar una interpretación de registros geofísicos de manera automática y sin intervención humana alguna dado un set de datos que contenga registros geofísicos.

This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured Gamma Ray (GR), Caliper, Resistivity logs and the interpreted porosity from a well.

LAS (Log Ascii Standard v2.0) parser in c++: beta-level-software

Electrofacies classification using supervised learning algortihms

Go library for parsing standard well log files (Geophysical well logs)

LAS (Log Ascii Standard) web utilities in no-framework procedural php

Library for D programming language that provides tools to work with LAS (Well log ASCII Standart) files

To check log data availability in a LAS file

Generating synthetic DT log

Synchronize log alias to be a single mnemonic

Well logs correlation using dynamic time warping