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Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2018/2019
Scuola Scuola di Ingegneria Civile, Ambientale e Territoriale
Insegnamento 097465 - GEOPHYSICAL DATA PROCESSING
Docente Zanzi Luigi
Cfu 10.00 Tipo insegnamento Monodisciplinare

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing - Civ (Mag.)(ord. 270) - MI (489) INGEGNERIA PER L'AMBIENTE E IL TERRITORIO - ENVIRONMENTAL AND LAND PLANNING ENGINEERING*AZZZZ097465 - GEOPHYSICAL DATA PROCESSING
Ing Ind - Inf (Mag.)(ord. 270) - MI (474) TELECOMMUNICATION ENGINEERING - INGEGNERIA DELLE TELECOMUNICAZIONI*AZZZZ098416 - GEOPHYSICAL DATA PROCESSING 1
Ing Ind - Inf (Mag.)(ord. 270) - MI (487) MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA*AZZZZ098637 - GEOPHYSICAL DATA PROCESSING

Obiettivi dell'insegnamento

Geophysical methods based on the ecographic or tomographic principle generate the final results through a complex data processing procedure. The goal of the course is to introduce the student to the 2D and 3D data processing algorithms that are used to process geophysical data from seismic or georadar surveys. Algorithms are presented in simple and intuitive ways during the lectures and are tested by the student on real data during the laboratory hours.


Risultati di apprendimento attesi

The student:

  • Knows the principles of the data processing algorithms used in seismic and georadar prospecting.
  • Can define and apply a proper data processing sequence to produce a seismic or georadar 2D or 3D section.
  • Knows how to select and optimize the input parameters required by each algorithm.
  • Has some practice with a geophysical professional software so that he can rapidly get familiar with any other geophysical software that might be used by his company.

Argomenti trattati

1. Hints of signal theory: Fourier transform, linear systems, impulse response, transfer function, convolution, autocorrelation and cross-correlation, analog and digital signals, sampling, Nyquist theorem.

2. Processing of georadar data: hints on acquisitions, filters, time-calibration, background subtraction, gain, topographic corrections, velocity analysis, time-depth conversion, focusing methods for monostatic and bistatic systems, focusing of 3D data.

3. Processing of seismic refraction data: hints on acquisitions, first arrival picking, reciprocal methods, Generalized Reciprocal Method, tomographic inversion.

4. Processing of seismic reflection data: hints on acquisitions, gain, bandpass filters, FK filters, time-variant filters, velocity analysis, static and dynamic corrections, muting, residual statics, stack, deterministic and statistical deconvolution, pre-stack and post-stack multiple suppression, 2D and 3D migration, pre-stack migration, calibration with VSP data.

5. Processing of MASW data: Rayleigh waves, hints on acquisitions, spectral analysis through fk transform or tau-p transform, dispersion curve picking, inversion.

6. Tomographic inversion: hints on acquisitions, traveltime picking, time-calibration, inversion grid design, traveltime inversion, amplitude picking, divergence correction, radiation pattern correction, amplitude inversion, frequency downshift method.

Laboratory: Part of the course consists of a large number of laboratory sessions with Matlab and with professional software for radar and seismic data processing.

 

 


Prerequisiti

Fundamentals of mathematics, differential equations, geometry and linear algebra.


Modalità di valutazione

Evaluation is based on an oral exam where the student might be asked to design a processing procedure or to discuss a specific data processing algorithm.


Bibliografia
Risorsa bibliografica obbligatoriaHandouts of PowerPoint presentations https://beep.metid.polimi.it
Risorsa bibliografica facoltativaL. Zanzi, Notes on GPR https://beep.metid.polimi.it
Risorsa bibliografica facoltativaL. Zanzi, Appunti di sismica di esplorazione https://beep.metid.polimi.it
Risorsa bibliografica facoltativaP. Annan, GPR data processing notes https://beep.metid.polimi.it
Risorsa bibliografica facoltativaD. Palmer, Generalized Reciprocal Method https://beep.metid.polimi.it
Risorsa bibliografica facoltativaO. Yilmaz: Seismic data analysis http://wiki.seg.org/wiki/Seismic_Data_Analysis

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
55:00
82:30
Esercitazione
0:00
0:00
Laboratorio Informatico
45:00
67:30
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
0:00
0:00
Totale 100:00 150:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese

Note Docente
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
08/12/2019