Petrophysic is a Python library developed to assist in the processing of Nuclear Magnetic Resonance (NMR) data, obtaining parameters such as porosity, T2 components, and permeability, as well as providing tools for data visualization. This project is part of a postgraduate work and aims to provide efficient tools for relaxation data analysis.

Borehole measurement interpretation and modeling.

Upload well LAS (log ASCII) files and view the raw logs interactively in streamlit

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

Estimate Core-based Permeability from NMR well log data

Petroleum Data Collector

TotalDepth is capable of processing and analysing petrophysical wireline logs.

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.

Lithology and stratigraphic logs for wells or outcrop.

A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.

Bag of really useful geoscience equations and stuff

Welly helps with well loading, wireline logs, log quality, data science