Welly helps with well loading, wireline logs, log quality, data science
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Updated
Aug 16, 2024 - Python
Welly helps with well loading, wireline logs, log quality, data science
Bag of really useful geoscience equations and stuff
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.
Collection of geophysical notes in the form of IPython/Jupyter notebooks.
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
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.
Python utility for formation evaluation and petrophysical analysis support
TotalDepth is capable of processing and analysing petrophysical wireline logs.
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.
A Python Package for Petrophysical Evaluation
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
Carbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore system characterization with modeled saturations using Thomeer Capillary Pressure parameters for an Arab D complex carbonate reservoir
We have developed a simple, 1 layer neural network to estimate Rock Types
An R package for reading Log Ascii Standard (LAS) files for well log data.
The objective of this GitHub repository is to develop code that can effectively display well log parameter plots and their animations.
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.
The objective of this project is to interactively interrogate oil field production data using Altair
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