Lindsey J. Heagy and Douglas W. Oldenburg
Notebooks to accompany the Leading Edge Article: Electrical and electromagnetic responses over steel-cased wells. Accepted for publication.
Electrical and electromagnetic (EM) methods can be diagnostic geophysical imaging tools for monitoring applications, such as carbon capture and storage or hydraulic fracturing. In these settings, it is common that steel-cased wells and other steel infrastructure are present. Grounded source methods, which use electrodes to inject current into the earth are of interest for casing integrity and monitoring applications. Electrostatic, or direct current (DC) resistivity, experiments form the basis of our understanding of the physics of grounded source experiments in terms of charges, currents, and electric fields. Steel-cased wells are highly conductive and although their presence makes numerical modelling more challenging, they can help targets of interest be detected because they channel charges and currents to depth. Time-domain EM experiments use a time-varying transmitter current. Understanding the EM response requires that we consider both galvanic, or DC currents, as well as image currents that are induced in the subsurface. As compared to DC experiments, the physics of EM is more complex because of the multiple current systems, as well as the need to consider magnetic permeability of steel cased wells. However, EM experiments have the advantage that they can provide a large data set that is sensitive to a target of interest. Ultimately this will increase the potential for being able to extract information about the target.
To run the notebooks 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/heagy-2021-tle-casing.git
Then cd into the heagy-2021-tle-casing directory:
cd heagy-2021-tle-casing
To setup your software environment, we recommend you use the provided conda environment
conda env create -f environment.yml
conda activate heagy-2021-tle-casing
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
Please make an issue if you encounter any problems while trying to run the notebooks.
If you build upon or use these examples in your work, please cite:
Heagy, L. J., & Oldenburg, D. W. (2021, submitted). Electrical and electromagnetic responses over steel-cased wells. The Leading Edge.