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A collection of relevant resources

This page contains a list of references and urls to the topics discussed during the course. It will be under relatively constant change.

The links related to the software used in the course are kept on the Software and data page


There's quite some value to have one or two classical textbooks around to look up things and have the state of knowledge summarised in one place as a starting point. The course draws quite heavily from the following books:


Basin analysis/geodynamics


Programming/things computer-y

  • Practical Programming (2nd edition) - An Introduction to Computer Science Using Python 3. by Paul Gries, Jennifer Campbell, Jason Montojo. I have some books by the Pragmatic Programmers and these are fantastically written, really useful reference texts I can highly recommend - both for beginners to more advanced levels
  • Amazon: Mark Lutz's Python Pocket Reference - I've flogged that book and found that one the best references one could have at hand when working with Python.

Decision making

Please don't illegally download a PDF of a book but consider to rather buy it or get it from the library. It's ok to download freely (and legally) available resources, but remember to give something back to the community as well, sometime.


Most lecture notes will come with a reference list. There are, however, some papers in addition to those worth having a look at. These I list here:

* Brendon Hall, 2016, Geophysical Tutorial: Facies classification using machine learning, The Leading Edge. doi: 10.1190/tle35100906.1 (open access).

Web resources

You'll be easily drowning in information you can find on the web, here are a selection of links (which are relatively up-to-date) relevant to topics we touch upon in the course:

  • Google Scholar when you want to quickly search for academic/scholary papers

Data portals

Virtual labs/globes

Geodynamic modelling