The examples and data on the OpendTect-ML-Dev Repository are licensed under Creative Commmons BY-SA 3.0
To get started with Machine Learning in OpendTect several datasets are provided on TerraNubis with which all plugins are available for all users. There is F3 offshore the Netherlands, Penobscot, FORCE ML Competition 2020, FORCE ML Competition 2020 Synthethic Models and Wells and the recently added Delft. These can all be found on TerraNubis
Follow the steps below to install OpendTect 6.6 and download the complete datasets.
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Step 1: Download the installer for OpendTect 6.6
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Step 2: Download the free datasets on TerraNubis
Challenges:
Webinar examples:
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2020-04-22: Develop your own Machine Learning tools and workflows with OpendTect
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2020-04-29: How to prepare well logs to get optimal Machine Learning results
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For more information and help join the OpendTect Machine Learning Developers' Community on Discord
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For more information on how to become a member and be part of the Community please read the FAQ
Videos:
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Watch the Machine Learing Webinar series
These will show the steps needed to make and train your own models, shows you the workflows, goes over some of the basics and theory.
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Webinar video: Develop your own Machine Learning tools and workflows with OpendTect
This webinar video shows you how to get working with Python and the OpendTect Machine Learning environment. Download the examples here
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Webinar video: How to prepare well logs to get optimal Machine Learning results
This webinar video shows you methods to extract the best set of training well data while also getting optimal prediction performance. Download the examples here
Development:
Workflows:
- Machine Learning Workflow: Wells Log-Log Prediction (Density)
- Machine Learning Workflow: Wells Log-Log Prediction (Porosity)
- Machine Learning Workflow: Wells Lithology Classification
- Machine Learning Workflow: Seismic Unet 3D Fault Predictor
- Machine Learning Workflow: 3D Seismic + Wells Rock Property Prediction
- Machine Learning Workflow: Seismic Image to Image Faults Prediction
- Machine Learning Workflow: Seismic Image Regression Unet Fill Seismic Traces