This article is part of the
Geophysical Tutorials
section in The Leading Edge,
started by Matt Hall of Agile Geoscience.
All tutorials are Open-Access and include open-source code examples.
Read the
February 2016 tutorial by Matt
for an introduction to the tutorial series
and what you need to know to get started running the code in them.
The article is also available at the
SEG wiki
where it can edited and improved.

Open-source implementation

This article uses the Euler deconvolution implemented in
Fatiando a Terra,
an open-source Python library.
See the repository
pinga-lab/paper-tle-euler-tutorial
for the source code that accompanies the article
and extra material.

Abstract

In this tutorial we'll talk about a widely used method of interpretation for
potential-field data called Euler deconvolution. Our goal is to demonstrate its
usefulness and, most importantly, call attention to some pitfalls encountered
in the interpretation of the results. The code and synthetic data required to
reproduce our results and figures can be found in the accompanying IPython
notebooks (ipython.org/notebook)
at dx.doi.org/10.6084/m9.figshare.923450
or github.com/pinga-lab/paper-tle-euler-tutorial.
The notebooks also expand the
analysis presented here. We encourage you to download the data and try it on
your software of choice. For this tutorial we'll use the implementation in the
open-source Python package Fatiando a Terra
(fatiando.org).

Bibtex

@article{uieda2014,
title = {Geophysical tutorial: {Euler} deconvolution of potential-field data},
volume = {33},
issn = {1070-485X, 1938-3789},
doi = {10.1190/tle33040448.1},
number = {4},
journal = {The Leading Edge},
author = {Uieda, Leonardo and Oliveira Jr., Vanderlei C. and Barbosa, Valéria C. F.},
month = apr,
year = {2014},
pages = {448--450}
}

Citation

Uieda, L., V. C. Oliveira Jr, and V. C. F. Barbosa (2014), Geophysical tutorial: Euler deconvolution of potential-field data, The Leading Edge, 33(4), 448-450, doi:10.1190/tle33040448.1

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