GEO 164
Applied Geostatistics
COURSE OVERVIEW
Geostatistics is now essential in nearly all aspects of exploration and production: gridding and contouring for making maps, upscaling for reservoir simulation and basin modelling, as well as the analysis of spatially referenced data of all kinds. Without needing to know the details of the algorithms and the mathematics behind them, being able to choose the most appropriate techniques and apply them correctly is fundamental to best practice throughout E&P.
COURSE SCHEDULE
| Code | Date | Location | price (€) |
|---|---|---|---|
| GEO 164 | 2 - 6 Feb 2026 | Online | 3300 |
| GEO 164 | 12 - 16 Oct 2026 | Trondheim | 4400 |
COURSE OUTLINE
5 days
Day 1: How geostatistics aids in understanding trends in spatial data-sets
o Classical multivariate statistics
o Conditional distributions
o Direct simulations
o Variogram analysis
o Modelling anisotropy
Day 2: Understanding the effects of scale
o Heterogeneity and discontinuity
o Data scale versus modelling scale
o Upscaling for efficient modelling
Day 3: Allowing for spatial trends in gridding & contouring
o Honouring data or minimising errors
o Using kriging to make better maps
Day 4: Making use of new data
o Bayesian and geo- statistics;
o History matching
o Sequential / Indicator simulation
Day 5: Quantifying uncertainty
o How geostatistics includes methods for uncertainty quantification
o Using Monte Carlo and other stochastic simulations
INSTRUCTOR
Instructors Profile
The course has 2 instructors:
The first one holds a B.Sc. in Mathematics and Statistics from the University of Bath, an M.Sc. from Cranfield Institute of Technology and a Ph.D. in Underground Stress Analysis from the University of Nottingham, England. He has worked for government agencies and commercial organisations in Australia, North America and Europe, as well as acting as visiting lecturer in geostatistics at Nottingham University. For the last 12 years he has managed an independent company in North Wales, with clients including 5 of the top 10 oil and gas exploration companies worldwide for services involving mathematical and statistical analysis.
The 2nd instructor is a geologist by background. He is an expert in reservoir modeling and is experienced in Petrel, GOCAD, SKUA and RMS. Through his 24 years practicing modeling, Thomas has gained a reputation of excellent advisory and project management skills. Thomas completed numerous projects in diverse reservoirs in the Western Canadian Sedimentary Basin (conventional & oil sands), in Canada – East Coast and international (Middle East, Nigeria, South America) Thomas has completed reservoir modeling projects in diverse plays such as the oil sands, Foothills, tight oils, and offshore. He has been involved in all stages from velocity modeling to time-to-depth conversion, structural and stratigraphic modeling, 3D petrophysical modeling, resources computations and pre-simulation.
FAQ
DESIGNED FOR
o Petroleum geologists and other geoscientists preparing data for use in reservoir simulators and basin models. Anyone wishing to gain the best insight into and obtain the most value from their geo-spatial data.
COURSE LEVEL
o Intermediate
LEARNING OBJECTIVES
The course aims to provide knowledge of how to apply the various tools known as geostatistics, using both readily available software and more specialist packages. The emphasis is on practical application and understanding of context over a consideration of the mathematics. A multitude of software-based exercises give a practical introduction to what is available and provide useful tools to take back to the workplace.
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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