README.md

OpendTect-ML-Dev

License information

The examples and data on the OpendTect-ML-Dev Repository are licensed under Creative Commmons BY-SA 3.0

Getting started

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 7.0 and download the complete datasets.

• Step 1: Download the installer for OpendTect 7.0

• Step 2: Download the free datasets on TerraNubis

Contents of this repository

Challenges:

• July 2021: ML Fault Prediction Challenge

Webinar examples:

• 2023-06-15: Building and Training Your Own 2D CNN Model with OpendTect

• 2022-02-17: Porting Machine Learning horizon tracking Notebook to OpendTect

• 2021-04-29: How to prepare well logs to get optimal Machine Learning results

• 2021-04-22: Develop your own Machine Learning tools and workflows with OpendTect

OpendTect Machine Learning Developers' Community on Discord

• For more information and help join the OpendTect Machine Learning Developers' Community on Discord

• For more information on how to become a member and be part of the Community please read the FAQ

Videos

Videos:

• 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.

• Webinar Video: Applying and Finetuning your Trained Model: From U-Net to Seismic Interpretation

  This webinar shows how to apply and finetune the trained model we created in the Building and Training Your Own 2D CNN Model with OpendTect webinar. In order to follow this webinar and try it yourself it is best to watch and get the examples of the first webinar session Building and Training Your 2D CNN Model with OpendTect. Download the Powerpoint here

• Webinar Video: Building and Training Your Own 2D CNN Model with OpendTect

  This webinar video shows you how to build and train your own 2D CNN Model with OpendTect. Download the examples here

• Webinar video: Porting Machine Learning horizon tracking Notebook to OpendTect

  This webinar video shows you how to run a python notebook who's purpose is to do automated horizon interpretation. Download the examples here

• Webinar video: Creating and Adding New Models

• 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

• 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

Documentation

Development:

• Develop your own models documentation
• dgbpy framework documentation
• odpy framework documentation

Workflows:

• Machine Learning Workflow: Wells Log-Log Prediction (Density)
• Machine Learning Workflow: Wells Lithology Classification
• Machine Leareing Workflow: Seismic Classification (Supervised 3D)
• 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