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

Bag of really useful geoscience equations and stuff

Collection of geophysical notes in the form of IPython/Jupyter notebooks.

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.

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.

Python utility for formation evaluation and petrophysical analysis support

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.

A comprehensive Open Source repository for Petrophysics, providing tools, scripts, and resources for analyzing subsurface data. Ideal for geoscientists, engineers, and researchers working with porosity, permeability, and other petrophysical properties. Join us in advancing the science of subsurface exploration and reservoir characterization.

TotalDepth is capable of processing and analysing petrophysical wireline logs.

Petroleum Data Collector

This is some very simple python code to view thin sections from a porosity vs. permeability cross plot using python's Altair and Pane

The objective of this repository is take advantage of Geolog's powerful python loglan capabilities to interrogate Petrophysical well log data using python's interactive Altair in Geolog. The use of python in Geolog will allow us to leading-edge data science techniques in Geolog to process, interrogate and interpret out logs.

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

Predict Petrophysical Rock Types (PRT) using KNN

We have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for reservoir characterization, uncertainty quantification and history matching.

Estimate Core-based Permeability from NMR well log data

Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN

Reading and eventually writing DLIS/LAS/LIS/SEGY files in golang. Very much work in progress.... at the alpha level

We have used Mihai's PetroGG and modified the program to be used with our shaley-sand Gulf Coast data. In this version we are using Vshale and not Vclay, and we have added Waxman-Smits and Dual-Water saturation models appropriate for these data.