This is a program with GUI developed with python, to read well logs and model geomechanical properties.

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Python reader for Canadian Well Logging Society LAS (Log ASCII Standard) files.

Identifying outliers in well logs with machine learning.

Robust representations of oil wells' intervals via sparse attention mechanism

Typescript/JavaScript library for parsing standard well log files (Geophysical well logs))

A fast way to check and work with .dlis files.

This project will explore, analyse and visualise publicly available wells datasets from the United States offshore data centre, the USGS boreholes website - Bureau of Safety and Environmental Enforcement (BSEE) https://www.data.bsee.gov/Main/Default.aspx with a particular focus on the Gulf of Mexico (GOM) wells. This project will study sandstone…

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.

JavaScript for converting well-log standard .las file format to json format

LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software

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.

d3.js v5 visualization of well logs

Robust representations of oil wells' intervals via sparse attention mechanism

LAS well log file converter to various files (JSON and CSV supported) to be readable and manageable with data science approach

Stratigraphic pick prediction via supervised machine-learning

Node.js application for parsing, viewing and make calculations on .las files

Workflows developed for to display and interpret conventional well logs, depositional environments, sequence boundaries, heat flows, clay types, fracture intensities, and operational records

Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.

use lasio to analyze and plot digital well log files