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RES 418

Practical Application of Geostatistics in Reservoir Simulation

COURSE SCHEDULE

Code Date Location price (€)*
RES 418 4 - 6 Nov 2025 Online 1390
RES 418 1 – 3 Jul 2025 Online 1390
RES 418 15 – 17 Jan 2025 Abu Dhabi 2990
RES 418 5 – 7 Aug 2025 Amsterdam 2990

* 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

COURSE OUTLINE

3 days
Day 1

o Introduction to upscaling
o Discussion of typical upscaling problems
o Identification of user-specific issues
o Upgridding, fundamental constraints of scale and grid design
o Upscaling static properties

Day 2

o Revision and exercise
o Upscaling dynamic properties
o Discussion on why we don’t upscale porosity or permeability
o Upscaling quality control

Day 3

o Case studies and horror stories
o The ‘un-upscalable grid’
o Practical aspects of upscaling with commercial software

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 reservoir engineers who struggle to match fluid volumes between the geological and simulation models.

COURSE LEVEL

 o Intermediate to Advance

LEARNING OBJECTIVES

The learning objectives of this course are:
o An understanding of the benefits of upscaling
o An ability to make intelligent decisions during the static modeling workflow that will impact on the efficiency of upscaling
o An appreciation of the theoretical limitations of upscaling and the practical limitations of upscaling algorithms in commercial modeling programs
o A problem-solving and critical-thinking approach to modeling to improve upscaling 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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