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| Overview | Launching the notebooks | Running the notebooks | Citation | Issues | License |

Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials

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Overview

This repository contains the notebooks used to generate the examples shown in "Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials" by Seogi Kang, Lindsey J. Heagy, Douglas W. Oldenburg.

This collection of notebooks will first illustrates physics of induced polarization (IP) effects in airborne time-domain electromagnetic data, and then investigate under what conditions airborne IP can detect chargeable bodies at depth. The list of the notebooks are:

Launching the notebooks

Online

The notebooks can be run online through mybinder

Locally

To run them locally, you will need to have python installed, preferably through anaconda.

You can then clone this repository. From a command line, run

git clone https://github.com/simpeg-research/kang-2018-AEM.git

Then cd into the kang-2018-AEM

cd kang-2018-AEM

To setup your software environment, we recommend you use the provided conda environment

conda env create -f environment.yml
source activate aemip-environment

alternatively, you can install dependencies through pypi

pip install -r requirements.txt

You can then launch Jupyter

jupyter notebook

Jupyter will then launch in your web-browser.

Running the notebooks

Each cell of code can be run with shift + enter or you can run the entire notebook by selecting cell, Run All in the toolbar.

For more information on running Jupyter notebooks, see the Jupyter Documentation

Citation

Kang, S., & Oldenburg, D. W. (2019). Inversions of time-domain spectral induced polarization data using stretched exponential.

@article{kang2018,
author = {Kang, Seogi, Heagy, Lindsey J, and Oldenburg, Douglas W},
journal = {Exploration Geophysics},
number = {},
pages = {},
title = {{Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials}},
volume = {},
year = {2019}
}

Issues

If you run into problems or bugs, please let us know by creating an issue in this repository.

License

These notebooks are licensed under the MIT License which allows academic and commercial re-use and adaptation of this work.

Version

Version: 0.0.1

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Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials

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