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  • Class and Course

    Geostatistical Reservoir Modeling: Standard Approach and Best Practices

    The course reviews the full spectrum of an integrated reservoir study from core/well log to fluid flow simulator. It addresses the practical requirements and workflows for modern 3D reservoir modeling. Participants learn how to use deterministic and stochastic modeling methodologies to quantitatively integrate diverse data types, model reservoir heterogeneity, assess model uncertainty, and prepare the reservoir model as input to a flow simulator, Particular emphasis is placed on the best modeling practices and data integration methodologies available using geostatistical techniques. The presentation includes an informal, interactive discussion of the agenda topics, illustrated with case studies and including computer workshops.

    The objective of this 5-day course is to provide participants who have experience in building reservoir models, with the solid understanding of the underlying geostatistical methodologies used in Applied Reservoir Modeling.

    The course provides discussion of the heart of geostatistics that includes data stationarity, spatial relationship (variogram), estimation (kriging and cokriging), and conditional simulation (SIS, TGS, SGS). Additionally, best practices on the workflow for building reservoir model will be presented. To enhance the understanding of the participants about these topics, the exercise for detail analysis and sensitivity, based on actual field data, is provided. All exercises will be done using PETREL.

    This course is important for reservoir modelers or for any geoscientist/engineer involved in an integrated reservoir study. It is of particular relevance to reservoir modelers that are interested in getting a better understanding on the “black-box” of geostatistics techniques commonly found during the facies and property modeling process. It will also improve skills in the art of data integration.

    Suggested course textbook, "Applied Geostatistics for Reservoir Characterization" by Kelkar and Perez. Cost via SPE (member price) is US$60 plus shipping.

    Professional geologists, petrophysicists, geophysicists, engineers, managers & professional technicians

    Introduction - Fundamentals of Geostatistics

    Basic statistice for reservoir modeling

    Data stationarity and trends

    Spatial analysis - Variograms

    Modeling using Kriging and Cokriging

    Stochastic simulation and cosimulation

    Creating the static model - framework and properties

    Moving to the dynamic model - upscaling

    Knowledge of Geological techniques and processes ; structure and sedimentation. Understanding of Static & Dynamic reservoir modeling.

    Knowledge of PETREL software is an advantage. Suggested completion of Petrel fundamentals training.

    Currently there are no scheduled classes for this course.

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