At our next Breakfast Talk, Kamal Hami-Eddine, Paradigm Product Manager, will be sharing our technology around Machine Learning for Automated Seismic Facies Classification in Paradigm 17 - the further evolution of Stratimagic and SeisFacies.
Attendance is complimentary. Breakfast well be served at 7:30 am, followed by the presentation at 8:00 am.
Machine Learning is revolutionizing our lives, in areas as disparate as self-driving cars to facial recognition algorithms that now score higher recognition scores than live human viewers. seismic interpretation is also being altered by machine learning. Below is a 3-D lithofacies volume which was created by applying machine learning to a 3D prestack seismic volume using the Rock Type Classification algorithm, previously only a service offering, and now a new software offering in Paradigm 17.
In a few minutes, Rock Type Classification had classified, using facies logs at well locations, a 3D prestack seismic volume, and had returned a 3D volume consisting of rock classes; silicoclastics, bioherm (tight), bioherm (wet), bioherm (oil), limestone, shaly limestone, interbedded, biostrom (tight), biostrom (oil), biostrom (wet). It enabled the user to side-step a traditional QSI (AVO & Inversion) project, which would have taken longer to complete. Rock Type Classification was very easy to use, and because it is integrated with the 3D Canvas interpretation workspace, the user doesn’t have to open another application.
Waveform Classification (part of the Stratimagic product) has also been fully integrated with the 3D Canvas interpretation workspace in Paradigm 17 and it is now possible to do the classification task while engaged in interpretation without interruption.
Please come hear our presentation on how machine learning is changing the seismic interpretation landscape, and see demonstrations of the new Rock Type Classification and Waveform Classification algorithms, integral parts of the 3D Canvas workspace in Paradigm 17.
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