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Practical Application of Geostatistics in Reservoir Simulation (RES 418)

COURSE SCHEDULE

Code Date Location price (€)*
RES 418 4 - 6 Nov 2026 Online 1980
RES 418 1 – 3 Jul 2026 Online 1980
RES 418 14– 16 Jan 2026 Abu Dhabi 2640
RES 418 5 – 7 Aug 2026 Amsterdam 2640

COURSE OVERVIEW

COURSE OUTLINE

3 days
Day 1: Using wireline data

 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: Using mapping data 

 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: Interfacing with MS Office 

 

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 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 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!

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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