LAS (Log Ascii Standard) web utilities in no-framework procedural php
Robust representations of oil wells' intervals via sparse attention mechanism
Автоматическая интерпретация LAS
This is a program with GUI developed with python, to read well logs and model geomechanical properties.
Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.
Useful code for geoscientists in the energy sector. More useful code will be added over time. Special thanks to all those coders out there that helped to pave the way.
Rock facies classification using well log data employing ML algorithms
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…
Basic Well Log Interpretation with python, pandas, matplotlib. Added lasio to handle LASfile input. Simplyfying vshale calculation. Added Indonesian and Simandoux equation.
Identifying outliers in well logs with machine learning.
LAS (Log Ascii Standard v2.0) web utilities and api in Django web framework : beta-level software
A fast way to check and work with .dlis files.
2023/24 Undergraduate Research Program - This repository contains the code and artifacts developed during my 23/24 research program.
Robust representations of oil wells' intervals via sparse attention mechanism
Add a description, image, and links to the well-logs topic page so that developers can more easily learn about it.
To associate your repository with the well-logs topic, visit your repo's landing page and select "manage topics."