Its not the software, its the design.
How can you tell the difference between a ‘good’ reservoir model and a ‘bad’ one?
This one day Master class is designed to draw out the common reasons for ‘good’ and ‘bad’ outcomes, under the premise that models add value only when they add clear value to business decisions.
The course is designed for anyone interested in better quality reservoir models; those involved in building them, using them or managing teams who make them.
Duration
Learning Level
The ‘red thread’ through the event will be the over-riding issue of model design and the five areas of common error: model purpose, selection of elements, use of determinism and probability, model scale and uncertainty-handling.
Advice will be given on how to review models, what questions to ask the model builders and how to determine whether the output from models can be relied upon and used to support decisions.
As a take-away the course will close with a set of questions to ask yourself and others, suitable for reference in peer reviews or assists.
Five reasons why many models fail, and how to avoid them:
Why model at all? What do we
understand by ‘fit-for-purpose’?
Getting the building blocks right
Concept-driven (intuitive) geostatistics; balancing probabilistic and deterministic tools, the importance of trends
Beyond upscaling – pitching the models at the correct scale, multi-scale modelling and the REV
Overcoming heuristics and modelling what you don’t know
1 day
PhD
30+ years - geoscience
Mark develops and runs courses in the Open Air, Reservoir, E&P, Uncertainty & Risk and Energy Transition series for TRACS. He has a career background at Shell, AGR, TRACS and Langdale Geoscience. He has served as a distinguished lecturer for SPE and EAGE, acted as Training Director for TRACS and is an Associate Professor Heriot-Watt University. He is also co-author of the textbook ‘Reservoir Model Design’.
Energy transition and renewables
Early development
E&P overview
Reservoir
Wells
Business
Open air
Uncertainty and Risk
e-Products
