a detailed study of the exploited geothermal field of travale in italy was conducted using magnetotelluric (mt) data in 2004. this paper detects the main features of the conductivity structures of this area. for subsurface mapping purpose, the long period natural-field mt method proved very useful. for processing and modeling of the mt data, 2d inversion schemes were used and to have the best p...

J. Alvarez-Aramberri∗, D. Pardo and H. Barucq ∗ University of the Basque Country (UPV/EHU), Bilbao, Spain, Inria team-project Magique-3D, and LMA UMR 5142 UPPA, Pau, France, [email protected], https://sites.google.com/site/m2sigroup/. 2 Department of Applied Mathematics, Statistics, and Operational Research at the University of the Basque Country (UPV/EHU), and IKERBASQUE, Basqu...

The noise suppression method based on dictionary learning has shown great potential in magnetotelluric (MT) data processing. However, the constraints used existing algorithm’s need to set manually, which significantly limits its application. To solve this problem, we propose a deep optimized denoising method. We use convolutional network learn characteristic parameters of high-quality MT indepe...