Reservoir Characterization (RES 419)
Reservoir Characterization (RES 419)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| RES 419 | 20 – 24 Jul 2026 | Online | 3300 |
| RES 419 | 19 – 23 Oct 2026 | Online | 3300 |
| RES 419 | 8– 12 Jun 2026 | Stavanger | 4400 |
| RES 419 | 7 – 11 Sep 2026 | Dubai | 4400 |
COURSE OVERVIEW
The aim of this course is to provide participants with the skills required to conduct an integrated reservoir characterization study. Emphasis is placed on understanding the underlying assumptions and scientific principles behind reservoir model development. The course equips participants with practical skills that complement modeling workflows implemented in commercial software, ensuring that modeling decisions are technically sound and geologically consistent.
Special attention is given to clarifying the distinction between reservoir description and reservoir characterization within the context of modeling. Participants will gain insight into how different modeling approaches influence the quality, reliability, and practical utility of the resulting reservoir models.
COURSE OUTLINE
5 days
Day 1
o Overview of Reservoir Characterization
o Data Sources, Quality and Analysis
o Types of data, scales of measurement and uncertainty in received data
o A short review of probability including Bayes theory
o Univariate and bivariate statistics
o Measuring and modeling spatial continuity of variables (Variograms)
Day 2
o Construction of modelling framework
o Mapping
o Contouring
o Handling faults in reservoir models
o Different grid types
o Design and their relation to reservoir features
o Grid selection for appropriate modelling for different E&P problems
Day 3
o Geostatistical Estimation
o Geostatistical Concepts
o Kriging and its limitations and assumptions o Estimation of Dependent Variables
o Estimation of Dependent Variables
Day 4
o Geostatistical Simulation
o A comparison of simulation and estimation
o Sequential Indicator Simulation
o Object Modelling
Day 5
o Upgrading and Upscaling
o Grid correspondence
o Upscaling static properties
o Upscaling dynamic properties
INSTRUCTOR
Professor Stephen Tyson
Professor Stephen Tyson is a Chair Professor in Petroleum Engineering at Universiti Teknologi Brunei, where he leads the development of teaching and research in the discipline. Previously, he served as Chair of Subsurface Modeling at the Centre for Coal Seam Gas and as Director of the Centre for Geoscience Computing in the School of Earth Sciences at The University of Queensland.
He has more than 30 years of industry experience in reservoir characterization and modeling, covering both conventional and unconventional reservoirs. His work has been primarily focused in the Asia-Pacific region and Australia.
His current research interests include model validation, verification and acceptance criteria for static and dynamic models, upscaling, uncertainty modeling, and non-linear geostatistics. He is also an Honorary Professor in Petroleum Engineering at the University of New South Wales and serves as an EAGE instructor.
FAQ
DESIGNED FOR
The course is designed for geologists and geophysicists.
COURSE LEVEL
o Intermediate to Advance
LEARNING OBJECTIVES
On completion of this course participants will have gained the following skills:
o An understanding of the limitations of static modeling
o An ability to determine appropriate
o Develop a problem-solving and critical-thinking approach.
modeling strategies for different exploration and development problems
REQUIREMENTS
o A comfortable ability to handle algebra, arithmetic and very basic statistics. The math presented in this course is not advanced but there are formulas and equations.
o A basic knowledge of Excel is needed. Course participants need to be comfortable entering formulas and creating graphs in Excel.
o Upstream petroleum exploration and production knowledge is also useful.
REGISTER
Registration is now OPEN!
Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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