Discipline Reservoir Engineering ,
Field Development Planning
Duration5 Days
Delivery Mechanism Classroom
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Applied Geostatistics for Petroleum Engineers and Geoscientists

Application of geostatistical techniques to build reservoir models through the integration of geological, core/well log, seismic and production data to generate a consistent reservoir description. Introduces reservoir modeling workflow from construction of the 3D static reservoir model through upscaling and dynamic reservoir simulation. Provides background and insights to geostatistical modeling techniques and the situations where the application of geostatistics could add value. Provides guidance in the assembly and analysis of the required data for geostatistical techniques and the resulting numerical models. Includes extensive hands-on training and problem solving using public domain software. If available, a commercial software (typically PETREL) is used to demonstrate the workflow with a field example.

  • Agenda
  • Topics
  • Audience
  • Prerequisites
  • Agenda

    Day 1


    • Role of geostatistics in reservoir modeling
    • Review of steps in building static reservoir model
    • Decision making under uncertainty
    • Review of probability and distributions
    • Univariate analysis/data transformation, Q-Q plot, P-P plot
    • Analysis of field data

    Day 2

    • Bivariate statistics
    • Conditional expectation
    • Covariance and Correlation
    • Analysis of spatial continuity
    • Variogram definition, physical meaning
    • Calculating & interpreting the variogram
    • Modeling variograms
    • Simple and ordinary kriging
    • Cross-validation
    • Analysis of field data

    Day 3

    • Point & block estimation
    • Cokriging/Collocated Cokriging
    • Conditional simulations/sequential approaches
    • Indicator simulation of lithofacies
    • Boolean/Object-based models
    • Multipoint Geostatistics
    • Analysis of Field Data

    Day 4

    • Demonstration of the workflow with a field example using PETREL (if available)
    • Multidisciplinary Data Integration
    • Data Correlation/Electrofacies Classification
    • Integration of Seismic Data
    • Upgridding and Upscaling

    Day 5

    • Flow simulation through geologic models using streamlines
    • Experimental design and applications
    • History matching- preliminaries
    • Course summary & conclusions
  • Topics

    Learning Objectives

    Understand and experience the practice of reservoir modeling workflow from construction of the 3D static reservoir model through upscaling and dynamic reservoir simulation

  • Audience

    Practicing reservoir and production engineers and geoscientists working as a part of an integrated reservoir management team

  • Prerequisites

    Basic knowledge of geology and mathematics

  • Prerequisites

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