This is a program with GUI developed with python, to read well logs and model geomechanical properties.
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Updated
Sep 18, 2024 - Python
This is a program with GUI developed with python, to read well logs and model geomechanical properties.
d3.js v5 visualization of well logs
JavaScript for converting well-log standard .las file format to json format
Python library for reading and writing well data using Log ASCII Standard (LAS) 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.
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.
Robust representations of oil wells' intervals via sparse attention mechanism
Stratigraphic pick prediction via supervised machine-learning
Workflows developed for to display and interpret conventional well logs, depositional environments, sequence boundaries, heat flows, clay types, fracture intensities, and operational records
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