Marcuello Pascual, AlejandroNocelo Sampedro, Paula2021-10-052021-10-052021-02https://hdl.handle.net/2445/180406Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Alejandro Marcuello PascualThis report is based on magnetotelluric (MT) data from the electromagnetic (EM) Earth field. The main objective is to analyze, reduce, and asses EM noise, coming from man-made technologies. To evaluate how to denoise MT data, a code is developed in Python, which uses the K-Means technique from machine learning. In the end, it is obtained a preliminary method to identify noise situations.5 p.application/pdfengcc-by-nc-nd (c) Nocelo, 2021http://creativecommons.org/licenses/by-nc-nd/3.0/es/Prospecció magnetotel·lúricaAprenentatge automàticTreballs de fi de grauMagnetotelluric prospectingMachine learningBachelor's thesesinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess