RES 419
Reservoir Characterization
The aim of this course is to provide the skills needed to complete an integrated reservoir characterization study.
Reservoir Characterization
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| RES 419 | 20 – 24 Jul 2025 | Online | 1990 |
| RES 419 | 19 – 23 Oct 2025 | Online | 1990 |
| RES 419 | 10 – 14 Jun 2025 | Stavanger | 3990 |
| RES 419 | 7 – 11 Sep 2025 | Dubai | 3990 |
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
COURSE OVERVIEW
The aim of this course is to provide the skills needed to complete an integrated reservoir characterization study. Emphasis is placed on the underlying assumptions and the science behind the development or reservoir models and as such provides the course participants with a set of skills that complement modeling workflows in commercial software. Care is taken to help participants understand the difference between description and characterisation, in the context of modelling and the utility of the models that are created using different approaches. Characterisation, in the context of modelling and the utility of the models that are created using different approaches.
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
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 the Chair Professor in Petroleum Engineering at Universiti Teknologi Brunei and is responsible for the development of teaching and research in this area. Previously he was the Chair of Subsurface Modeling at the Centre for Coal Seam Gas and Director of the Centre for Geoscience Computing in the School of Earth Sciences at The University of Queensland.
He has worked in reservoir characterization and modeling in the oil industry for more than 30 years in both conventional and unconventional reservoirs. He has worked extensively in the Asia-Pacific and Australia. His current research interests are in model validation, verification and acceptance criteria for both 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 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 modeling strategies for different exploration and development problems
o Develop a problem-solving and critical-thinking approach to modeling to improve modeling effectiveness.
REQUIREMENTS
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 modeling strategies for different exploration and development problems
o Develop a problem-solving and critical-thinking approach to modeling to improve modeling effectiveness.
REGISTER
Registration is now OPEN!
* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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