Here a list of available theses proposed by our MSc. program. It is important to note that this is not an exaustive list and, for topics not listed here, students are encouraged to contact the tutors of the MSc program in Exploration and Applied Geophysics (the list of tutors can be found here) to ask if they have some thesis topic availalble. Finally, it is extremely important to remind that students willing to ask a thesis to an external tutor, need to contact in advance an internal tutor to agree the thesis topic. Please, do not contact external tutors before an agreement with an internal one.

List of Available Theses:

Topic: Seismic inversion
Supervisor: M. Aleardi
Description: Implementing an inversion algorithm for seismic-petrophysical inversion with non-parametric prior models and 3D geostatistical constraints
 
Topic: Seismic inversion
Supervisor: M. Aleardi
Description: Exploiting machine learning techniques to reduce model and data spaces in a probabilistic full-waveform inversion of seismic data

Topic: Global Seismology
Supervisor: G. Carelli and F. Grigoli
Description: Development of array seismology techniques for the backtracking of the ruptures caused by large (M>7) earthquakes and recorded by laser gyroscopes

Topic: Photonic Seismology
Supervisors: F. Grigoli
Description: Development of methods for the analysis of Distributed Acoustic Sensing (DAS) data for seismic monitoring of CO2 storage and Geothermal Energy production operations

Topic: Earthquake Seismology
Supervisors: F. Grigoli
Description: Development of Machine Learning methods for the analysis of natural and induced seismicity

Topic: Einstein Telescope
Supervisors: F. Grigoli and F. Fidecaro
Description: Geophysical characterization of the Einstein Telescope candidate site in Sardinia to through Ambient Noise Tomography

Topic: Seismic data Processing
Supervisor: A. Tognarelli
Description: Data Processing of 2D/3D Seismic Reflection Data

Topic: Acoustic and Elastic Full Wave Inversion on real and synthetic data
Supervisors: E. Stucchi and M. Aleardi
Description: Methodologies for estimating an accurate velocity field for both
compressional and shear waves from seismic data acquired for exploration purposes

Topic: Development of Algorithms for Seismic Data Processing
Supervisor: E. Stucchi
Description: Seismic data are affected by many different kinds of noise. The
aim of a thesis on this topic is to focus on a particular kind of noise and writing
and testing an algorithm to attenuate it on synthetic and real data.

Topic: Full Waveform Inversion
Supervisor: E. Stucchi
Description: Use of machine learning techniques for interpolation of the error function in FWI to reduce the
computational cost of global optimization inversion.

Topic: Reflection Seismic Processing
Supervisor: E. Stucchi, N Bienati
Description: Nonlinear beamforming for enhancement of 3D prestack land seismic data