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Plotting a Resistivity Model from Airborne Electromagnetic Data

	Info
When	Wednesday, February 16 • 16:00-17:00 pm PST
Video	TBA
conda environment	aem_plot
Slides	AEM Plot presentation

Prerequisites

Software

• Some knowledge of Python is assumed.
• All coding will be done in Jupyter notebooks. I'll explain how they work briefly but it will help if you've used them before.
• We'll use numpy, matplotlib, and ipywidgets You don't need to be an expert in these tools but some familiarity will help.
• For 3D visualizations, we will use Paraview and Leapfrog

Airborne Electromagnetic Mehtod

• AEM (Airborne Electromagnetic Method) is an effective methodology to image hydrogeology of the subsurface in a large area.
• For further details about the AEM method see: AEM method
• As a motivating example, we will use a resistivity model from Kaweah Subbasin located in the Central Valley of California, USA.

Usage

There are a few things you'll need to follow the tutorial:

1. A working Python installation (Anaconda or Miniconda)
2. The SimPEG conda environment installed
3. A web browser that works with Jupyter (basically anything except Internet Explorer)

To get things setup, please do the following.

Windows users: When you see "terminal" in the instructions, this means the "Anaconda Prompt" program for you.

Step 1: Python

Follow the general instructions for installing Anaconda: https://www.youtube.com/playlist?list=PLgLft9vxdduAW-jmhYqXvtfGYJS6v2FjM

This will get you a working Python 3 installation with the conda package manager. If you already have one, you can skip this step.

Step 2: Download the AEM Plot tutorials

To access the notebooks, you need to use git to clone this repository

To clone this repository, open up a terminal and navigate to where you want this repository stored on your computer.

Then run

git clone https://github.com/envgp/aem_plot.git

to clone the repository, and cd into the aem_plot directory

cd aem_plot

Step 3: Create the AEM plot tutorial conda environment

From inside of the aem_plot repository, create the aem_plot conda environment

conda env create -f environment.yml

and activate the environment

conda activate aem_plot

Step 4: Download SimPEG and switch to a specific branch

git clone https://github.com/simpeg/simpeg.git

to clone the repository, and cd into the simpeg directory

cd simpeg

switch to an em1d_updates branch

git checkout -f em1d_updates

then install SimPEG.

python setup.py install

Step 5: Launching the notebooks

Once you have activated the conda environment, you can launch the notebooks

jupyter notebook

Jupyter will then launch in your web-browser.

If you are able to open any one of the notebooks and run the first cell, then you should be good to go!

License

All code and text in this repository is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in LICENSE.