AESM1450 -- Geophysical Prospecting

Diffusive Fields: Land and Marine CSEM
TU Delft -- MSc program Geo-Energy Engineering
Notebooks and info on: github.com/prisae/aesm1450

In this practical you are going to learn how to model, invert, and interpret CSEM data on land and in a marine setting, in the frequency domain and in the time domain.

Prerequisites

Make sure you have the following required packages installed before the first lecture. Get in touch with us if you struggle to install any part of it. Also, you should be familiar (or get familiar) with Python and Jupyter notebooks.

• Python 3.7 or higher
• Jupyter
• empymod (at least v2)
• matplotlib (for plotting)
• xarray and h5netcdf (for loading data; only for the assignment)
• scooby (just for version checking; makes our life easier to help you)

If you use conda, the following command will install everything required:

conda install -c conda-forge jupyter empymod matplotlib scooby xarray h5netcdf

Or using pip:

pip install jupyter empymod matplotlib scooby xarray h5netcdf

Alternatively you can open the Anaconda Navigator (if you use the anaconda distribution), add the channel conda-forge, and install the packages there.

Useful resources:

• empymod.rtfd.io: The manual for empymod with an extensive example gallery.
• github.com/emsig/csem-ziolkowski-and-slob: All figures from the book «Introduction to Controlled-Source Electromagnetic Methods: Detecting Subsurface Fluids» from Ziolkowski and Slob, 2019. You can find there the scripts to reproduce most of the figures from your lecture notes and presentation.
• em.geosci.xyz & gpg.geosci.xyz: Good starting points for a lot of insightful theoretical and practical material for electromagnetics in geophysical exploration.
• github.com/geoscixyz/em-apps > notebooks > em: Many interactive apps to explore electromagnetic fields for many different survey types.

Optional

Given the restricted available time we focus here on 1D modelling for simplicity. However, depending on how fast you move along and how interested you are in diffusive fields in geophysical exploration you can also have a look at other libraries. We might talk about them in the classes if there is time, but it is not a requirement for this course:

• emg3d: emg3d.rtfd.io (manual)
• SimPEG: docs.simpeg.xyz (manual)

You can install them in the same way as above, either via conda or pip.