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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.
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:
- P. A. Allen and J. R. Allen. Basin Analysis: Principles and Applications. Blackwell Publishing, Inc., Oxford OX4 1JF, United Kingdom, 2nd edition edition. Available now in 3rd edition (2013), ISBN: 978-0-470-67377-5, Link to publisher webpage with resources for the book.
- Turcotte & Schubert: Geodynamics. Cambridge - This is the “bible” for all things geodynamics. Seems out of print going by the Cambridge website but the libraries should have a copy (or Amazon?).
- Gluyas & Swarbridge: Petroleum Exploration. Wiley - More general than the Basin Analysis book on the geology parts but contains useful info on tools/workflows utilised in the exploration industry and the whole “value chain” - from frontier exploration to reservoir management.
- Fowler: The Solid Earth. Cambridge - Pretty chunky book on all things solid earth. Apparently also no longer available at Cambridge Press.
- Kearey, Brooks & Hill's Introduction to Geophysical Exploration, 3rd edition, Wiley. I use parts of this book for the signal and seismic processing. It's quite a good intro to the basic techniques.
- Herron: First steps in seismic interpretation. SEG Geophysical Monograph - A short book with a lot of useful information for people who are not hard-core geophysicists but do seismic interpretation.
- David Gubbins: Time Series Analysis and Inverse Theory for Geophysicists - In depth textbook time series analysis.
- The bible for all thing Seismic Processing is Oz Yilmaz' Seismic data analysis on the SEG wiki.
- Baker Hughes' Atlas of well log responses - A PDF chart that has the most common well responses plotted.
- 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.
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).
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
- Norwegian NPD public data portal Diskos
- Norwegian Oil Directorate - Norwegian government regulator for oil & gas
- Dutch Geological Survey public data portal for exploration related data: NLOG.nl
- USGS Oil and Gas assessments and associated data (World Energy Project, National Petroleum Reserve)
- US National Geophysical Data Center Access to many global data sets like ETOPO1, global magnetic and sediment thickness models, and marine trackline data (grav/mag).
- CRUST1 - Global crustal model by Gabi Laske et al. at Scripps Institute of Oceanography.
- Geoscience Australia, in particular:
- Virtual seismic atlas - lots of examples of uninterpreted and interpreted seismic data