Extending Shared Earth Models with MATLAB-Petrel Interconnectivity
Overview
It is common to see artificial intelligence and machine learning advancements outpace their commercial development and inclusion in common, industry wide, shared-earth environments. This creates the need to “plug” the technology gap with technical computing. Join this webinar and discover how MATLAB seamlessly extends the functionality of SLB’s Petrel™ shared-earth tool to fill such technology gaps by streamlining data exchange between the two environments.
Highlights
- MATLAB interface for Petrel. Learn to directly read and write data between a Petrel project and MATLAB, in addition to performing Petrel operations from within MATLAB.
- Rock Physics Modelling. Apply different rock physics models to a synthetic well log of porosity. The rock physics models include the Wyllie-Raymer models for soft and stiff sands.
- Rock-Physics and Petro-Physics Inversion. Apply Bayesian and Ensemble Smoother inversion methods to predict the petrophysical properties from seismic and well-log data.
- Facies Classification. Apply Bayesian facies classification using non-parametric model kernel density estimation.
About the Presenter
Ayon Dey, PhD
Senior Applications Engineer, Energy Resources, MathWorks
Ayon is a Senior Application Engineer at MathWorks based in Texas. Ayon’s experience spans over 30 years working in multiple Geosciences roles for oil, gas, and chemical companies based in the USA, Canada, South Africa, Saudi Arabia, and the UAE, as well as for research institutions in Canada and The Netherlands. Ayon holds a PhD degree in Applied Physics from Delft University of Technology (Netherlands), an MSc degree in Geology and Geophysics from University of Calgary (Canada), and a BSc in Applied Mathematics from Memorial University of Newfoundland (Canada).
