pddasig / Machine-Learning-Competition-2023Links
The 3rd SPWLA ML competition
☆17Updated last year
Alternatives and similar repositories for Machine-Learning-Competition-2023
Users that are interested in Machine-Learning-Competition-2023 are comparing it to the libraries listed below
Sorting:
- Generating seismic data and associated labels to train deep learning networks.☆77Updated 4 months ago
- Some simple tutorials about machine learning / deep learning / optimization in geosciences.☆39Updated last year
- ☆31Updated 4 years ago
- Create realistic geological models with folds, faults and meandering river sediments.☆15Updated 3 years ago
- Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest☆15Updated 4 years ago
- Philliec459 / Geolog-Project-Notebook-for-a-Clastic-Comprehensive-Interactive-Petrophysical-Analysis-WorkflowThis repository has all of the python code and methods for a Comprehensive interactive petrophysical analysis workflow using python’s Pan…☆12Updated 9 months ago
- Teaching material for ML in Geoscience course☆89Updated 9 months ago
- extensive Python library for rock physics modelling☆48Updated 8 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
- 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
- SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis☆72Updated 4 years ago
- Automated Well-Tie☆32Updated 2 years ago
- Corel is a smart computer vision model that identifies facies and performs rock typing on core images☆12Updated 10 months ago
- Use Random Forests (RF) to predict subsurface reservoir parameters (e.g. porosity, permeability) and lithology from seismic data.☆12Updated 2 years ago
- ☆56Updated 6 years ago
- Pore pressure prediction using seismic velocity and well log data☆94Updated 5 years ago
- data-driven seismic horizon tracking using non-local dynamic time warping☆41Updated 5 years ago
- Framework for correlating two or more well logs using feature vectors generated from CNN's in Pytorch☆149Updated 5 years ago
- Examples on how to develop your own Machine Learning tools and workflows☆22Updated last year
- 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
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 4 years ago
- ☆26Updated 4 years ago
- A comprehensive Open Source repository for Petrophysics, providing tools, scripts, and resources for analyzing subsurface data. Ideal for…☆33Updated last month
- Framework for computing seismic attributes with Python.☆48Updated 2 years ago
- T21 tutorial using Volve data☆31Updated 2 years ago
- 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
- ☆36Updated 9 months ago
- Transform seismic segy to logs using Machine Learning☆14Updated 6 years ago
- A Benchmark for Seismic Velocity Inversion from Synthetics☆47Updated last year
- 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