Paradigm: Workshop – Machine Learning for Automated Facies Classification
Join Paradigm for a technical workshop presented by 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.
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.