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Workshop - Machine Learning for Automated Facies Classification

November 22, 2017
Paradigm Office
125 9th Avenue SE, Suite 2110
Calgary, Alberta, CA

Come join us for a technical workshop presented by Paradigm SMEs Bob Wytsma and Akshay Gulati, on November 22, 9:00 am - 12:00 pm.  This workshop will illustrate advances in Paradigm’s Neural Network Technology (NNT)-based seismic facies classification system, with a focus on Waveform Classification and Rock Type Classification.

Machine learning-based rock type classification

The Rock Type Classification workflow employs a new algorithm which generates rock type volumes calibrated to facies logs using a probabilistic approach, to assess uncertainty in rock type quality and distribution. This probabilistic approach results in less guesswork when quantifying uncertainty in rock type distribution. Results are interactively generated in a 2D and 3D environment (Integrated Canvas) for in-depth analysis. Waveform Classification uses the proven Stratimagic® NNT method, known as the most effective machine-aided pattern recognition for automatic identification of seismic facies, based on classifying seismic waveforms.

Students will gain hands-on experience with Paradigm software using both of the above classification techniques. Using Western Canadian data, participants will run several seismic facies classification methods from Stratimagic and SeisFacies® tools.

Light snacks and coffee will be provided!  Space is limited, so please RSVP by emailing epp@cseg.ca.