• Class and Course

    Petrel Property Modeling

    The Petrel Property Modeling course is intended for the user with fundamental Petrel modeling skills. The course covers basic geostatistics, data preparation, data analysis, facies and petrophysical modeling. You will learn different ways to create property models and how to condition models to existing models and secondary data. This course guides the user through concepts, algorithms and software functionalities in property modeling.

    The first part of the course focuses on the usage of  basic geostatistical tools, through data analysis.  Also pre-modeling processes concerning well data preparation will be covered. Also here we will look into the first step of the property modeling workflow: upscale well logs to create single property values at well location for each cell. This will create hard data that will be used to populate the 3D grid with either deterministic or stochastic algortihms.

    The second half of the course focuses on facies and petrophysical modeling workflows using stochastic methods as well as covering the usage of Kriging for continuous properties. Implementing Data analysis results and using secondary data to constrain the result will also be shown.

    Input data preparation and QC
    • Data preparation
    • Scale up well logs
    • Quality control tools

    Univariate and bivariate geostatistics
    • Basic statistics
    • Variogram analysis
    • Data analysis
    • Horizontal variogram modeling

    Facies modeling

    • Data analysis
    • Facies modeling overview
    • Sequential indicator simulation
    • Object facies modeling
    • Truncated Gaussian simulation
    • Facies modeling using secondary variables

    Day 3

    Petrophysical modeling

    • Data analysis
    • Petrophysical modeling overview
    • Kriging in petrophysical modeling
    • Gaussian simulation in petrophysical modeling
    • Petrophysical modeling using secondary variables

    Development and exploration geologists, geophysicists, geochemists, petrophysicists, petroleum engineers, managers, reservoir engineers and technical personnel with  prior experience in Petrel.

    • Basics of uni and bivariate Geostatistics
    • Data preparation, including well log edits and calculations as well as well log upscaling for discrete and continuous data
    • Facies modeling
      • Data analysis
      • Sequential Indicator Simulation
      • Object Facies Modeling-
      • Truncated Gaussian Simulation with and without trends
      • Using secondary data to populate facies models
    • Petrophysical Modeling
      • Data analysis
      • Sequential Gaussian Simulatio
      • Gaussian Random Function Simulation
      • Kriging
      • Using secondary data to populate petrophysical models

    General knowledge of petroleum geology. Petrel Fundamentals  course or equivalent experience

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