Digital Geophysics with Python

21–24 June 2021

This 4 half-day course will help you take your basic Python knowledge and apply it to solving problems in geophysics. Whether you’re working on problems in near-surface or deep exploration, or you’re using seismic or radar data, we’ll cover the basics of 1D and 2D signal processing, forward modeling, property estimation, and scientific visualization. The goal is for the class to be a springboard for your own projects.

This class assumes you have a sound knowledge of Python, or have taken our Intro to Geocomputing class. In particular, if you know how to:

• Write a function in Python.

• Load a CSV into Pandas.

• Make a plot in matplotlib.

…then you should have no trouble in this class!

We’re flexible on the content, depending on the make-up of the class, but here’s approximately what each day might hold:

Day 1     To make sure we’re all together from the start, we'll review NumPy for numerics and Pandas for data management. We’ll also review how to make simple plots of n-dimensional data in matplotlib. We’ll do all this by making some wedge models and synthetic seismic sections.

Day 2 We’ll continue the modeling theme and look at a real-world well-tie. Now we have to deal with bad logs, time conversion, Backus averaging, and computing offset reflectivity with the Zoeppritz equation. We’ll also start thinking about wavelets.

Day 3 As we get into seismic data, we will think about loading and visualizing data, and extracting attributes in various ways. This will also mean thinking about horizon tracking. Finally, we’ll build a simple waveform classifier.

Day 4 The last day is somewhat flexible and could go in a number of directions. We can dive into time-frequency analysis and spectral decomposition, or we can look at interpolation, or Monte Carlo sampling… or we can step back and you can start building a project of your own — with some guidance from us.

Regular price: USD 995 — purchase below, or we can invoice you.
’On your own’ price: USD 495 — if you are paying your own way, please use this price.
Student & unemployed price: USD 249 — purchase below.

Location: online

0830 CDT (1330 UTC) to 1230 CDT (1730 UTC).

The class takes place in Zoom and Slack.

Full details to follow after registration.