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OPTIMIZED REGULARIZATION OF INTERVAL S-WAVE VELOCITY ESTIMATION FROM SEISMIC SURFACE WAVE DATA

Ana Paula Gomes

OPTIMIZED REGULARIZATION OF INTERVAL S-WAVE VELOCITY ESTIMATION FROM SEISMIC SURFACE WAVE DATA.

Rel. Laura Socco. Politecnico di Torino, Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria), 2020

Abstract:

Surface waves can be used to estimate near-surface shear wave velocity (VS) models due to their dispersive nature: local dispersion curves (DCs) are subjected to a significant dependency to time-average velocity (Vsz) and the relationship between the wavelength of surface waves and the investigation depth is used to directly transform DCs into Vsz, avoiding the inversion procedure. Such a technique, known as W/D method, has been recently introduced but the estimation of the interval VS from noisy Vsz using a DIX type equation requires regularization of the data. A synthetic dataset of 1D VS models has been generated with a stochastic approach based on a Monte Carlo procedure. A well-structured MATLAB code was developed to simulate the interval VS under different noise levels to test and compare the regularization parameter that best fits the simulated VS with its original profile, in an attempt to correlate noise levels and regularization parameter. Such a correlation is then tested in a real dataset to validate its effectiveness.

Relatori: Laura Socco
Anno accademico: 2019/20
Tipo di pubblicazione: Elettronica
Numero di pagine: 97
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-35 - INGEGNERIA PER L'AMBIENTE E IL TERRITORIO
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/15127
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