Events

Facies Classification and Prediction to Improve Understanding of Reservoir Heterogeneities

October 25, 2016
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Presented by:  Philippe Ecoublet, Senior Technical Sales Advisor
Featured Domain:  Interpretation
Featured Technology:  Stratimagic®

Abstract

Pattern recognition in data mining has proven to be a valuable addition to Quantitative Seismic Interpretation methods, for improving understanding of the reservoir depositional system and reservoir properties. This presentation displays some of Paradigm’s seismic attribute calculation and amplitude inversion technologies, constrained by geological information, for enhanced qualitative and quantitative reservoir characterization.  The implementation of seismic facies classification methods demonstrates the benefits of artificial intelligence when extracting information about reservoir lithology.  The combination of multiple seismic attributes with well information provides a deeper understanding of reservoir rock properties in terms of facies distribution, porosity estimation, and fluid content.


Biography

Philippe_Ecoublet.jpgPhilippe Ecoublet is a Senior Technical Sales Advisor at Paradigm.  He holds a PhD in Geophysics from the University of Cambridge, and was a post-doctoral research associate at the Rice Inversion Project at Rice University in Houston.  He held a research position at Thales Underwater Systems, and has worked with a technology consultancy firm in both the Geoscience and Defense sectors.  He also performed Quantitative Seismic Interpretation projects with CGG London, and then Jason UK.  Philippe has been part of the Paradigm team for 13 years.”