Python library for reading and writing well data using Log ASCII Standard (LAS) files
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Updated
May 15, 2024 - Lasso
Python library for reading and writing well data using Log ASCII Standard (LAS) files
Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch
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 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.
Velocity model building by deep learning. Multi-CMP gathers are mapped into velocity logs.
Stratigraphic pick prediction via supervised machine-learning
d3.js v5 visualization of well logs
Petroleum Data Collector
Typescript/JavaScript library for parsing standard well log files (Geophysical well logs))
A Python implementation of integrated prediction error filter analysis (INPEFA).
JavaScript for converting well-log standard .las file format to json format
Generating synthetic DT log
Handle classification within volcanic formation using supervised learning.
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