@article {Kormann2011,
	title = {{Application of acoustic full waveform inversion to retrieve high-resolution temperature and salinity profiles from synthetic seismic data}},
	journal = {Journal of Geophysical Research},
	volume = {116},
	number = {C11},
	year = {2011},
	month = {nov},
	pages = {C11039},
	abstract = {Recent works show that multichannel seismic (MCS) systems are able to provide detailed information on the oceans{\textquoteright} fine structure. The aim of this paper is to analyze whether 1-D full waveform inversion algorithms are suitable to recover the extremely weak acoustic impedance contrasts associated to the oceans{\textquoteright} fine structure, as well as their potential to image meso-scale objects such as meddies. We limited our analysis to synthetic, noise-free data, in order to identify some methodological issues related to this approach under idealistic conditions (e.g., 1-D wave propagation, noise-free data, known source wavelet). We first discuss the influence of the starting model in the context of the multi-scale strategy that we have implemented. Then we show that it is possible to retrieve not only sound speed but also salinity and temperature contrasts within reasonable bounds from the seismic data using Neural Network relationships trained with regional oceanographic data sets. Potentially, the vertical resolution of the obtained models, which depends on the maximum frequency inverted, is of the order of 5-10 m, whereas the root mean square error of the inverted properties is shown to be \~{}0.5 m/s for sound speed, 0.1C for temperature, and 0.06 for salinity. To conclude this study, we have inverted synthetic data simulated along an oceanographic transect acquired during the EU-funded Geophysical Oceanography (GO) project. The results demonstrate the applicability of the method for synthetic data, as well as its potential to define oceanographic features along 2-D transects at full ocean depth with excellent lateral resolution. Copyright 2011 by the American Geophysical Union.},
	issn = {0148-0227},
	doi = {10.1029/2011JC007216},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-82355181440\&partnerID=tZOtx3y1},
	author = {Kormann, J. and Biescas, B. and Korta, N. and De La Puente, J. and Sallar{\`e}s, V.}
}
@conference {Melendez2010,
	title = {{Appraisal of joint refraction and reflection travel-time tomography in the context of weathering correction}},
	booktitle = {72nd European Association of Geoscientists and Engineers Conference and Exhibition 2010: A New Spring for Geoscience. Incorporating SPE EUROPEC 2010},
	volume = {6},
	year = {2010},
	pages = {4692{\textendash}4696},
	abstract = {We propose an application of joint refraction and reflection travel-time tomography to determine both velocity and thickness of the weathering layer to be used in statics correction. This low velocity layer affects the quality of seismic images. The innovative aspect of our approach is the use of refracted and reflected phases. This remarkably reduces the trade-off between depth and velocity. First arrivals can be automatically picked and the reflection at the layer bottom can be easily identified because of the high impedance contrast with the basement. Synthetic data are generated for a reference model with an acquisition geometry simulating production experiments. The reference model is modified by adding a velocity perturbation and displacing the reflector to create the initial model for the inversion. Travel-time residuals decrease from \~{}1 s to \~{}0.1 s and the reflector is recovered to within {\textpm}2 m. A Monte Carlo analysis is performed to calculate the mean deviation and its reduction as a measure of the model parameters uncertainty. The improvement (10-50\%) is more significant in areas covered by reflections and refractions, while the reflector is again limited to a \~{}2 m range. We are testing this application with real data. {\textcopyright} 2010, European Association of Geoscientists and Engineers.},
	isbn = {9781617386671},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-78249271372\&partnerID=tZOtx3y1},
	author = {Mel{\'e}ndez, A. and De La Puente, J. and Sallar{\`e}s, V. and Ranero, C. R.}
}
