@article {Roux2014,
	title = {{Optimizing an experimental design for a CSEM experiment: methodology and synthetic tests}},
	journal = {Geophysical Journal International},
	volume = {197},
	number = {1},
	year = {2014},
	month = {jan},
	pages = {135{\textendash}148},
	abstract = {Optimizing an experimental design is a compromise between maximizing information we get about the target and limiting the cost of the experiment, providing a wide range of constraints. We present a statistical algorithm for experiment design that combines the use of linearized inverse theory and stochastic optimization technique. Linearized inverse theory is used to quantify the quality of one given experiment design while genetic algorithm (GA) enables us to examine a wide range of possible surveys. The particularity of our algorithm is the use of the multi-objective GA NSGA II that searches designs that fit several objective functions (OFs) simultaneously. This ability of NSGA II is helping us in defining an experiment design that focuses on a specified target area. We present a test of our algorithm using a 1-D electrical subsurface structure. The model we use represents a simple but realistic scenario in the context of CO2 sequestration that motivates this study. Our first synthetic test using a single OF shows that a limited number of well-distributed observations from a chosen design have the potential to resolve the given model. This synthetic test also points out the importance of a well-chosen OF, depending on our target. In order to improve these results, we show how the combination of two OFs using a multi-objective GA enables us to determine an experimental design that maximizes information about the reservoir layer. Finally, we present several tests of our statistical algorithm in more challenging environments by exploring the influence of noise, specific site characteristics or its potential for reservoir monitoring. {\textcopyright} The Authors 2014. Published by Oxford University Press on behalf of The Royal Astronomical Society.},
	keywords = {Electrical properties, Inverse theory, Magnetotelluric},
	issn = {0956-540X},
	doi = {10.1093/gji/ggt525},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84897848257\&partnerID=tZOtx3y1 http://gji.oxfordjournals.org/content/early/2014/01/29/gji.ggt525.short},
	author = {Roux, E. and Garcia, X.}
}
@article {Miensopust2013,
	title = {{Magnetotelluric 3-D inversion{\textendash}a review of two successful workshops on forward and inversion code testing and comparison}},
	journal = {Geophysical Journal International},
	volume = {193},
	number = {3},
	year = {2013},
	month = {mar},
	pages = {1216{\textendash}1238},
	abstract = {Over the last half decade the need for, and importance of, three-dimensional (3-D) modelling of magnetotelluric (MT) data have increased dramatically and various 3-D forward and inversion codes are in use and some have become commonly available. Comparison of forward responses and inversion results is an important step for code testing and validation prior to {\textquoteright}production{\textquoteright} use. The various codes use different mathematical approximations to the problem (finite differences, finite elements or integral equations), various orientations of the coordinate system, different sign conventions for the time dependence and various inversion strategies. Additionally, the obtained results are dependent on data analysis, selection and correction as well as on the chosen mesh, inversion parameters and regularization adopted, and therefore, a careful and knowledge-based use of the codes is essential. In 2008 and 2011, during two workshops at the Dublin Institute for Advanced Studies over 40 people from academia (scientists and students) and industry from around the world met to discuss 3-D MT inversion. These workshops brought together a mix of code writers as well as code users to assess the current status of 3-D modelling, to compare the results of different codes, and to discuss and think about future improvements and new aims in 3-D modelling. To test the numerical forward solutions, two 3-D models were designed to compare the responses obtained by different codes and/or users. Furthermore, inversion results of these two data sets and two additional data sets obtained from unknown models (secret models) were also compared. In this manuscript the test models and data sets are described (supplementary files are available) and comparisons of the results are shown. Details regarding the used data, forward and inversion parameters as well as computational power are summarized for each case, and the main discussion points of the workshops are reviewed. In general, the responses obtained from the various forward models are comfortingly very similar, and discrepancies are mainly related to the adopted mesh. For the inversions, the results show how the inversion outcome is affected by distortion and the choice of errors, as well as by the completeness of the data set. We hope that these compilations will become useful not only for those that were involved in the workshops, but for the entire MT community and also the broader geoscience community who may be interested in the resolution offered by MT. {\textcopyright} The Authors 2013. Published by Oxford University Press on behalf of The Royal Astronomical Society.},
	keywords = {Geomagnetic induction, Inverse theory, Magnetotelluric, Numerical solutions},
	issn = {0956-540X},
	doi = {10.1093/gji/ggt066},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84879858225\&partnerID=tZOtx3y1},
	author = {Miensopust, M. P. and Queralt, P. and Jones, A. G.}
}
