Course Length:   5 Days        Course Dates:    June 17 – 21, 2019     Course Venue:  Calgary, Alberta, Canada

Course Description:

This course addresses the application of geo-statistical techniques to build reservoir models through the integration of geological, core/well log, seismic and production data to generate a consistent reservoir description. It will introduce reservoir modeling workflow from construction of the 3D static reservoir model through up-scaling and dynamic reservoir simulation. The course provides background and insights to geo-statistical modeling techniques and the situations where the application of geo-statistics could add value. It will also provide guidance in the assembly and analysis of the required data for geo-statistical techniques and the resulting numerical models. The course includes extensive hands-on training and problem solving using public domain software.

Who Should Attend?

This course is designed for professional reservoir engineers, petrophysicists, geophysicists, geologists and asset managers

What You Will Learn:

• Review of steps in building static reservoir model
• Decision making under uncertainty
• Variogram definition, calculations and physical meaning
• Simple and ordinary kriging
• Conditional simulations/sequential approaches
• Indicator simulation of lithofacies
• Point & block estimation
• Integration of seismic data
• Up-gridding and Up-scaling
• Experimental design and applications
• Flow simulation through geologic models using streamlines
• History matching- preliminaries

Course Outline:

• Introduction to petroleum geo-statistics in reservoir characterization and modeling
• Review of probability and distributions
• Covariance and correlation, analysis of spatial continuity, variogram definition, calculations and physical meaning
• Modeling & interpreting the variogram
• Cokriging/Collocated Cokriging
• Boolean/Object-based models
• Multidisciplinary data integration
• Field case studies and hands-on practice