bolgebrygg / Force-2020-Machine-Learning-competitionLinks
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
☆154Updated 2 years ago
Alternatives and similar repositories for Force-2020-Machine-Learning-competition
Users that are interested in Force-2020-Machine-Learning-competition are comparing it to the libraries listed below
Sorting:
- SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis☆72Updated 4 years ago
- Exploration of machine learning in geoscience use cases☆78Updated last year
- Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch☆149Updated 5 years ago
- The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.☆49Updated 6 years ago
- Prediction of Equinor Volve well logs Data☆19Updated 5 years ago
- ☆31Updated 4 years ago
- ☆10Updated 3 years ago
- Repository for the 2021 Machine Learning workshop☆13Updated 4 years ago
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 4 years ago
- A couple of python scripts to interpret geological structures from geophysical images using deep learning☆231Updated 2 months ago
- Open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi☆122Updated 3 years ago
- A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.☆23Updated 4 years ago
- This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured…☆36Updated 4 years ago
- A series of Jupyter notebooks showing how to load well log and petrophysical data in python.☆329Updated 2 years ago
- Python utility for formation evaluation and petrophysical analysis support☆42Updated 2 weeks ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆138Updated 3 years ago
- Python implementations in geophysical methods: seismic and gravity☆96Updated 2 weeks 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
- Pore pressure prediction using seismic velocity and well log data☆94Updated 5 years ago
- A python package with useful functions for well log interpretation.☆73Updated 3 years ago
- Practicing machine learning (from scratch) with Python 🐍☆17Updated 3 years ago
- Petroleum Engineering and Geosciences exercises in Python☆74Updated 4 years ago
- Quantitative interpretation methods for reservoir characterization using well log analysis and quantitative seismic rock physics☆14Updated 5 years ago
- Basic Well Log Interpretation with python, pandas, matplotlib☆13Updated 9 years ago
- Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest☆15Updated 4 years ago
- A comprehensive Open Source repository for Petrophysics, providing tools, scripts, and resources for analyzing subsurface data. Ideal for…☆33Updated last month
- Collection of geophysical notes in the form of IPython/Jupyter notebooks.☆159Updated last year
- Teaching material for ML in Geoscience course☆89Updated 9 months 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 3 years ago
- In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction☆15Updated 4 years ago