unclebb31's starred repositories
geospatial-machine-learning
A curated list of resources focused on Machine Learning in Geospatial Data Science.
LoopStructural
LoopStructural is an open-source 3D structural geological modelling library.
Basic-Well-Log-Interpretation
Basic Well Log Interpretation with python, pandas, matplotlib
spotfire-mods
Spotfire® Mods
enverus-developer-api
Enverus Developer API Python Client
pypetrophysics
Library of petrophysical calculations
Spotfire-IronPython
IronPython Scripts for TIBCO Spotfire
Carbonates-Estimate-Petrophysical-Rock-Types-PRT-from-normalized-core-data-using-KNN
Predict Petrophysical Rock Types (PRT) using KNN
Prediction-of-reservoir-properties-using-Neural-Network
With available well logging data, prediction of porosity, water saturation using Deep Learning techniques.
GeostatsPy_Course_2
Course on the GeostatsPy Python geostatistics package covering uncertainty modeling with declustering and simulation.
logASCII_viewer
Upload well LAS (log ASCII) files and view the raw logs interactively in streamlit
Modeling-NMR-Derived-T2-Porosity-using-Conventional-Open-Hole-Logs
Machine Learning Modeling of NMR-Derived T2 Porosity using Quad Combo, Wolfcamp and Spraberry Formations, Reagan County Texas
spotfire-cheatsheet
Cheatsheet for Spotfire OVER expressions
Spotfire-Ironpython
This repository contains only Ironpython scripts that one can use in Tibco Spotfire to make available some basic features.
SKLEARN-used-to-predict-Petrophysical-Rock-Types-in-Arab-D-Carbonate
Use of Sklearn to predict Petrophysical Rock Types (PRT) in an Arab D carbonate based on Clerke's Rosetta Stone Calibration data
Estimations-of-Mode-of-Pore-Throat-Distribution-using-Tensorflow
Utilized Tensorflow to estimate the Mode of a Pore Throat Distribution based on Carbonate Core Data
Older-Combined_NMR_Conventional_Logs-Shaley-Sand-Analysis-using-PetroGG
Mihai's PetroGG modified to be used with our shaly-sand Gulf Coast NMR data.
Clastics--Assess-Depth-Interval-from-NMR-log-to-Generate-Thin-Sections-and-Pc-Curves-using-KNN
Assess discrete depth interval to estimate the Petrophysical properties for that interval
Utilize-Continuous-Core-Images-to-Calibrate-Borehole-Image-Logs
Take continuous high-resolution digital core images of the reservoir rock and process these images to define sand vs. shale for Borehole Imagelog calibration and Sand Count
GeologicalToolbox
This repository includes python modules for storing and processing geological base data.
Spotfire_GeoAnalytics_Builder
Snippet to fetch data from TIBCO GeoAnalytics Builder.