Description
Course Length: 5 Days
Description:
This course addresses the 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. It will introduce reservoir modeling workflow from the construction of the 3D static reservoir model through up-scaling and dynamic reservoir simulation. The course provides background and insights to geostatistical modeling techniques and the situations where the application of geostatistics could add value. It will also provide guidance in the assembly and analysis of the required data for geostatistical 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 geostatistics 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
