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

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.

César Aguilar

Senior Petrophysicist, PDVSA

Mr. Aguilar is a Senior Petrophysicist with PDVSA since 2005. His interests include reservoir characterization, cluster analysis, special logs interpretation and data mining. Cesar holds a specialization in Petroleum studies from IFP. He is a SPE and SPWLA member. He has 9 technical publications presented at 3 international congress and numerous articles in digital magazines.

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01/23/2020 at 9:30 AM (EST)   |  90 minutes
01/23/2020 at 9:30 AM (EST)   |  90 minutes
20 Questions
0.15 CEU/1.5 PDH credits  |  Certificate available
0.15 CEU/1.5 PDH credits  |  Certificate available