Practical Mathematics For Petroleum Geologists (DAT 604)
Practical Mathematics For Petroleum Geologists (DAT 604)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DAT 604 | 25 - 26 Jun 2026 | Online | 1320 |
| DAT 604 | 3 - 4 Dec 2026 | Online | 1320 |
| DAT 604 | 28 - 29 May 2026 | Stavanger | 1760 |
| DAT 604 | 15 - 16 Oct 2026 | Abu Dhabi | 1760 |
COURSE OVERVIEW
Nowadays, with the advent of advanced technologies, large volumes of calculations and mathematical modeling are performed automatically. As a result, many engineers may use sophisticated tools without fully understanding the underlying mathematics or how problems are fundamentally solved.
This course is designed to teach the essential mathematical foundations relevant to petroleum geologists. As the petroleum industry increasingly relies on software and digital technologies, the core mathematical principles are often hidden from users. However, professionals who understand these underlying concepts gain a significant technical and career advantage.
Participants will benefit from a practical and supportive approach aimed at strengthening their applied mathematics skills and building confidence in understanding the theory behind the tools they use in daily work.
COURSE OUTLINE
2 days
Day 1:
o Overview of mathematics in E&P
o Class discussion on additional topics or areas of significant weakness that need more attention
o Probability and statistic
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
Day 2:
o Trigonometry and Geometry
o Distance, areas and volumes
o Coordinate system
o Data fitting and testing
o Linear and non-linear relationships
o Goodness of fit
o Parameter estimation
o Confidence limits
o Advanced Excel skills
INSTRUCTOR
Professor Stephen Tyson
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 want to become more effective at manipulating data, automating repetitive tasks in MS Office, and produce better visualisations of numerical information.
COURSE LEVEL
o Beginner to Intermediate
LEARNING OBJECTIVES
The learning objectives of this course are for students to develop:
o An understanding of the opportunities that Python offers to geoscientists
o An ability to easily migrate data between Excel and Python using Pandas
o Understanding of basic Python syntax
o Understanding of packages that give additional functionality to Python; Numpy, SciPy, Matplotlib, etc.
o An ability to display data using richer visualization tools
o Sufficient knowledge of Python so that the participant can easily extend their capabilities using readily available tutorials and sandboxes
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
REQUEST IN HOUSE
Would you like a PetroTeach training course delivered at a time or location to suit you?
click for request in house