mycarta / Force-2020-Machine-Learning-competition_predict-lithology-EDA
Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest
☆14Updated 4 years ago
Alternatives and similar repositories for Force-2020-Machine-Learning-competition_predict-lithology-EDA:
Users that are interested in Force-2020-Machine-Learning-competition_predict-lithology-EDA are comparing it to the libraries listed below
- ☆30Updated 4 years ago
- Philliec459 / Jupyter-Notebooks_for-Characterization-of-a-New-Open-Source-Carbonate-Reservoir-Benchmarking-Case-StWe have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for…☆21Updated last year
- Examples on how to develop your own Machine Learning tools and workflows☆22Updated last year
- A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.☆23Updated 4 years ago
- ☆56Updated 6 years ago
- Corel is a smart computer vision model that identifies facies and performs rock typing on core images☆11Updated 5 months ago
- This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured…☆35Updated 4 years ago
- Library of petrophysical calculations☆17Updated 4 years ago
- Python package to support investigation of geoscience problems including geophysics, rock physics, petrophysics, and data read/write in c…☆35Updated 2 years ago
- Web App to plot a LAS file in a Triple Combo Format☆16Updated 2 months ago
- We have developed a simple, 1 layer neural network to estimate Rock Types☆18Updated 3 years ago
- Transform seismic segy to logs using Machine Learning☆14Updated 6 years ago
- The aim is to try and build some interactive log visualisations using dash in notebooks and demonstrate what is possible (and also what t…☆23Updated 4 years ago
- Philliec459 / NEW-Carbonate-Characterization-Workflow-Jupiter-Notebook-Modules-with-Clerke-Arab-D-Calibration-DataCarbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore s…☆19Updated 2 years ago
- Quantitative interpretation methods for reservoir characterization using well log analysis and quantitative seismic rock physics☆13Updated 5 years ago
- Prediction of Equinor Volve well logs Data☆18Updated 4 years ago
- ☆23Updated last year
- Python utility for formation evaluation and petrophysical analysis support☆39Updated 4 months ago
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 3 years ago
- Some simple tutorials about machine learning / deep learning / optimization in geosciences.☆34Updated last year
- 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 Vshal…☆13Updated 5 years ago
- Practicing machine learning (from scratch) with Python 🐍☆16Updated 3 years ago
- This is for AI prediction using seismic attributes☆23Updated 5 years ago
- A rock physics library for Python☆42Updated 2 years ago
- ☆25Updated 4 years ago
- A comprehensive Open Source repository for Petrophysics, providing tools, scripts, and resources for analyzing subsurface data. Ideal for…☆22Updated 2 months ago
- Getting started with python tutorial repo for Transform2020☆30Updated 4 years ago
- Python for Geoscientist - Digital Geoscience Data Handling using Python☆22Updated 2 years ago
- Multiple experiments on geo-datasets☆15Updated 8 months ago
- Pore pressure prediction using seismic velocity and well log data☆91Updated 4 years ago