Applied Geo-Statistics for Reservoir Modeling and Characterization
Course Length: 5Days Course Dates:
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