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Hydraulic Unit Determination and Permeability Prediction Based on Flow Zone Indicator Using Cluster Analysis

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Course Credit: 0.15 CEU, 1.5 PDH

The aim of this webinar is to highlight that a hydraulic unit’s zonation process requires a supervised learning approach instead of a Classical discrimination approach based on subjective geological observations or empirical relationships between permeability porosity data. It will be based on the paper SPE-169307. Flow zone indicator incorporates geological attributes of texture and mineralogy to discriminate distinctive hydraulic units. MULTI- RESOLUTION GRAPH-BASED CLUSTERING (MGRC) is a very powerful non-parametric algorithm which allows to define the optimal number of hydraulic units. The methodology was applied to a Venezuelan sandstone reservoir. Compared to previously used methods it yielded to increase accuracy permeability prediction and identifying different rock types. The methodology integrated all geological information available (core descriptions, image log, lithofacies, XRD, thin section and SEM information). Results obtained were verified using a numerical simulation model. All content contained within this webinar is copyrighted by César Aguilar and its use and/or reproduction outside the portal requires express permission from César Aguilar.

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Course Chapters

  • 1Hydraulic Unit Determination and Permeability Prediction Based on Flow Zone Indicator Using Cluster Analysis - Chapter 1
    Media Type: Video

Credits

Earn credits by completing this course0.15 CEU credit1.5 PDH credits

Speakers

César Aguilar