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This repository contains the notebooks used to generate the examples shown in Chapter 6 of the thesis "Electromagnetic methods for imaging subsurface injections" by Lindsey J. Heagy.
In this chapter, I discuss inversion strategies for imaging subsurface injections with hydraulic fracturing being the application of focus. I consider a DC resistivity experiment where the positive electrode is positioned within a steel-cased borehole and a return electrode is on the surface. I then consider several inversion approaches including a Tikhonov-style inversion and a parametric inversion. I then suggest an approach using effective medium theory to include a-priori information about the injected volume of proppant and fluid.
The notebooks can be run online through mybinder or azure notebooks.
To run them locally, you will need to have python installed, preferably through anaconda.
You can then clone this reposiroty. From a command line, run
git clone https://github.com/simpeg-research/heagy-2018-injection-inversions.git
Then cd into the heagy-2018-injection-inversions
cd heagy-2018-em-casing
To setup your software environment, we recommend you use the provided conda environment
conda env create -f environment.yml
source activate injection-inversions-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.
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
Heagy, L. J. (2018). Electromagnetic methods for imaging subsurface injections (T). University of British Columbia. Retrieved from https://open.library.ubc.ca/collections/ubctheses/24/items/1.0374170
@phdthesis{Heagy_2018,
series={Electronic Theses and Dissertations (ETDs) 2008+},
title={Electromagnetic methods for imaging subsurface injections},
url={https://open.library.ubc.ca/collections/ubctheses/24/items/1.0374170},
DOI={http://dx.doi.org/10.14288/1.0374170},
school={University of British Columbia},
author={Heagy, Lindsey J.},
year={2018},
collection={Electronic Theses and Dissertations (ETDs) 2008+}
}
If you run into problems or bugs, please let us know by creating an issue in this repository.
These notebooks are licensed under the MIT License which allows academic and commercial re-use and adaptation of this work.