Python offers significant benefits over Excel and has readily available tools to move data into and out of Excel. This course offers a practical introduction to using Python for typical geoscience and reservoir engineering problems and is organized around the accomplishment of common tasks effectively in Python, rather than as a Python-focused course
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DAT 603 | 7 - 9 Oct 2025 | Online | 1590 |
| DAT 603 | 24 - 26 Nov 2025 | Amsterdam | 2990 |
| DAT 603 | 9 - 11 Oct 2024 | Online | 1590 |
| DAT 603 | 27 - 29 Nov 2024 | 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!
We are moving into a post-Excel world. The data analysis requirements facing most geoscientists; petrophysicists, geophysicists, geologists and geomodellers, are beyond the capability of spreadsheets or at least are extraordinarily hard in spreadsheets. Python offers significant benefits over Excel and has readily available tools to move data into and out of Excel. This course offers a practical introduction to using Python for typical geoscience and reservoir engineering problems and is organized around the accomplishment of common tasks effectively in Python, rather than as a Python-focused course. By the end of the course participants will have installed a python environment on their laptops and have created a series of notebooks that will automate repetitive tasks, assist with data analysis and interface with Microsoft Excel. They will also be able to create impressive data visualisations and plots as standalones or integrated into reports and presentations.
o Python syntax
o General introduction to Python (Interpreter, Scripter, Debugger…)
o Data types (integer, float, string …) and their basic operations
o Data structures (list, tuple, dict…)
o Statements (if, for, while)
o Loops using the range () function
o Defining functions
o Python tools
o Visualisations
o Advanced statistics
o “Scientific” Python
o NumPy (arrays, numeric data processing, indexing…)
o SciPy (SciPy.stats, SciPy.spatial)
o Pandas
o Data visualization using Matplotlib
o Automating Word
o Automating Powerpoint
o Creating Word documents and Powerpoint presentations from Excel
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.
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.
o Beginner to Intermediate
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
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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