| dc.description.abstract | Traditional seismological methods for the study of the Earth structure are based on the information
that can be extracted from direct waves emitted by seismic sources such as earthquakes or
explosions. Useful information about the Earth interior, that is not directly available, can also be
contained in the ambient seismic noise sources. In the last 15 years the interest in these alternative
methods has grown because they are particularly advantageous both for economic reasons and for
overcoming some limitations of the traditional techniques. Indeed, they offer the opportunity for
studying areas without a localized natural or artificial sources and can be used to assess the aseismic
response of the subsurface. Correlations of ambient seismic noise traces are used to reconstruct the
Earth impulse responses (Green’s function) between two receivers as if a source was placed at one
of them. From these information it is possible to reconstruct the elastic properties of the propagating
medium in terms of spatial and temporal velocity variations of the seismic waves that travel through
it, performing an ambient noise tomography. Velocity changes in the propagation medium are
closely related to the physical mechanisms triggering natural or inducing earthquakes processes.
The aim of this thesis is the application of methods based on ambient noise analysis to the areas
where industrial operations for the geo-resources exploration and exploitation take place. Any
energy technologies can originate several environmental risks among which seismic risk, therefore
application of efficient methods can enhance the ability to monitor and reduce seismic risks in
specific areas.
This work was carried out within the three-year project S4CE (Science For Clean Energy) started in
2017 and funded by the European Union’s Horizon 2020 research and innovation program
(https://science4cleanenergy.eu/). This multi-disciplinary consortium aimed to improve the
knowledge on the mechanisms concerning the sub-surface geo-energy operations in order to better
monitor, quantify and reduce the environmental risks that may derive from it. The Università degli
Studi di Salerno was one of the main partners and dealt with the management of data on
microseismicity and the study of induced seismicity. In the 2019, the Università degli Studi di
Salerno started to coordinate the three-year project MATISSE (Methodologies for the AssessmenT of
anthropogenic environmental hazard: Induced Seismicity by Sub-surface geo-resources
Exploitation) financed by the Italian Ministry of Education, University and Research, PRIN 2017.
This thesis work is also part of this project, developed for detecting and quantifying the potential
environmental hazards related to sub-surface geo-energy exploitation.
It was analysed the continuous noise recorded of two sites where different energy technologies was
implemented for the exploitation of their geo-resources. This enabled testing of the methodology in
different types of areas and industrial operations, and to assess differences and limitations. One of
the study areas is the shale gas site of Wysin, which belongs to the Stara Kiszewa concession of
Polish Oil and Gas Company (PGNiG) in Pomerania region of the northern Poland. In this region,
the operations for the exploration and exploitation of the hydrocarbon was conducted in 2016 by
using the hydro-fracturing technique. Cross-correlation analysis of two-month of continuous
ambient seismic noise performed to investigate the propagation medium of Wysin site show
coherent Rayleigh waves with a significant energy in the 1.5-2.0 Hz frequency band. The energetic
signal propagates with an estimated velocity of about 400 m/s and can be considered reasonably
time stable. The information obtained from the cross-correlation analysis were used to perform
tomographic inversions with two different approch, to reconstruct 2-D surface waves velocity
model of the medium. From the method using the surface wave arrival times picked on the stacked
cross-correlation functions (FMST, Rowlinson and Sambridge, 2005), a fixed-frequency
tomography in the narrow range 1.5-2.0 Hz was obtained allowing an investigation of the medium
up to a maximum depth of about 70 m. Using a non-linear multiscale approach for data inversion
(MANgOSTA, Cabrera-Pérez et al. 2020), the dispersion curves from cross-correlations were
obtained by frequency-time analysis (FTAN). Tomographic images were retrieved for nine periods
within the range 0.3-1.20 s, permitting to reach an investigation depth of about 150 m. ... [edited by Author] | it_IT |
