Project FORCE ML Competition 2020 Synthetic Models and Wells
General
Country: | N/A |
Data summary: | OpendTect project with Synthetic Models and Wells. For image data extraction and training. |
OpendTect license information: | License key protected parts of OpendTect (OpendTect Pro and the commercial plugins) can be used on this data set without license keys because the software does not check for license key when it runs on this data set. |
Supported for OpendTect: | 6.6 and onwards |
Size: | 2.2 GB (uncompressed), 1.6 GB (download) |
License: | |
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Competition organiser: | |
Original seismic: |
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Survey Parameters
Survey type: | Only 3D |
Inline range and step: | 1, 151, 1 |
Crossline range and step: | 1, 589, 1 |
Z range and step: | 0, 3.6, 0.004 Time |
Inline bin size (m/line): | 18.75 |
Crossline bin size (m/line): | 12.5 |
Area (sq km): | 20.84 |
More InfoFORCE Machine Learning Competition 2020 informationHere you will find more information about the FORCE Machine Learning Competition 2020. We show you how to get a headstart with OpendTect 6.6 and how to make and train your own models by using the OpendTect 6.6 Machine Learning plugin: - the dgbes.com FORCE Machine Learning Competition 2020 webpage - the Machine Learning Webinar videos on YouTube - download and install OpendTect 6.6 - Develop your own models documentation - 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 bodies (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 |
Available Data
Synthetic Models: |
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WellsLogs: |
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