A5062434157- Seismology and Earthquake Studies
- Seismic Imaging and Inversion Techniques
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Earthquake Detection and Analysis
- Geophysics and Sensor Technology
- Reservoir Engineering and Simulation Methods
- Hydraulic Fracturing and Reservoir Analysis
- Fault Detection and Control Systems
- 3D Surveying and Cultural Heritage
- Maritime and Coastal Archaeology
- Anomaly Detection Techniques and Applications
- Drilling and Well Engineering
- Building materials and conservation
- Geophysical Methods and Applications
- Geological Modeling and Analysis
University of Pisa
2024
Istituto Nazionale di Geofisica e Vulcanologia
2020-2024
University of Florence
2021-2024
INGV Sezione di Pisa
2024
Abstract. The Italian earthquake waveform data are collected here in a dataset suited for machine learning analysis (ML) applications. consists of nearly 1.2 million three-component (3C) traces from about 50 000 earthquakes and more than 130 noise 3C traces, total 43 h an average 21 provided per event. list is based on the Seismic Bulletin (http://terremoti.ingv.it/bsi, last access: 15 February 2020) Istituto Nazionale di Geofisica e Vulcanologia between January 2005 2020, it includes...
SUMMARY Distributed acoustic sensing (DAS) is becoming increasingly popular in microseismic monitoring operations. This data acquisition technology converts fibre-optic cables into dense arrays of seismic sensors that can sample the wavefield produced by active or passive sources with a high spatial density, over distances ranging from few hundred metres to tens kilometres. However, standard analysis procedures have several limitations when dealing (intersensor spacing up submetre scale)...
The recent advances in seismic data acquisition technology allow to transform fiber-optic cables into dense arrays of geophones that sample nearly continuously the wavefield. This technology, known as Distributed Fiber-Optics Sensing (DFOS) (or Acoustic Sensing, DAS), has potential make cost-effective microseismic monitoring operations borehole installations. Unlike conventional geophones, can be easily installed behind well casings without interfering with injection or production...
Abstract In this work we report the ongoing characterization of Sos Enattos former mine (Sardinia, Italy), one two candidate sites for Einstein Telescope (ET), European third-generation underground interferometric detector Gravitational Waves. The site lies on a crystalline basement, made rocks with good geomechanical properties, characterized by negligible groundwater. addition, has very low seismic background noise due to absence active tectonics involving Sardinia. Finally, area...
Abstract We present a detailed analysis of the small magnitude ( M L < 3) Reservoir Induced Seismicity associated with Pertusillo water reservoir located in high seismic hazard zone Val d'Agri (Southern Italy). apply template‐matching detection to 13‐month‐long dense passive survey, obtaining final high‐precision double‐difference catalog 5,070 earthquakes (−0.7 2.6, C = 0.2). The new allows precisely tracking spatiotemporal distribution swarm‐seismicity and map b‐value Gutenberg‐Richter...
Abstract The increase of available seismic data prompts the need for automatic processing procedures to fully exploit them. A good example is aftershock sequences recorded by temporary networks, whose thorough analysis challenging because high seismicity rate and station density. Here, we test performance two recent Deep Learning algorithms, Generalized Phase Detection Earthquake Transformer, phases identification. We use from December 2019 Mugello basin (Northern Apennines, Italy) swarm, on...
Abstract The area surrounding the dismissed mine of Sos Enattos (Sardinia, Italy) is Italian candidate site for hosting Einstein Telescope (ET), third-generation gravitational wave (GW) observatory. One goals ET to extend sensitivity down frequencies well below those currently achieved by GW detectors, i.e. 2 Hz. In bandwidth [1,10] Hz, seismic noise anthropogenic origin expected represent major perturbation operation infrastructure, and that will host future detector must fulfill stringent...
Abstract. The Italian earthquake waveform data are here collected in a dataset suited for machine learning analysis (ML) applications. consists of near 1.2 million three-component (3C) traces from about 50,000 earthquakes and more than 130,000 noise 3C traces, total 43,000 hours an average 21 provided per event. list is based on the seismic bulletin (http://terremoti.ingv.it/bsi) ``Istituto Nazionale di Geofisica e Vulcanologia'' between January 2005 2020 it includes events magnitude range...
In recent years, there has been an increasing interest in Distributed Acoustic Sensing (DAS) technology for microseismic monitoring, especially operations involving borehole installations. Despite the widespread adoption of DAS systems such contexts, many questions regarding data quality recordings are still open. Is self-noise higher than traditional systems? How does ambient noise recorded by a system attenuate with depth as observed geophones? It is known that various types, including...
Distributed Acoustic Sensing (DAS) is an emerging data acquisition technology that utilises optical fiber to measure dynamic strain along its axis. Composed by and interrogator unit (IU), the system emits laser pulses into detects phase shifts in backscattered light, converting them or rate measurements. DAS becoming popular many seismological applications and, particular, for logistically challenging environments such as offshore areas, boreholes, glaciers, volcanic settings, where...
Distributed Acoustic Sensing (DAS) has emerged as a powerful tool in seismological applications, transforming fiber-optic cables into dense arrays of geophones that can continuously sample seismic wavefields across several kilometers. DAS data acquisition presents versatile approach, utilizing either ad hoc installations with specific or leveraging existing telecommunication optical fiber-network infrastructure. Its adaptability makes particularly advantageous for monitoring logistically...
Automated seismic arrival picking on large and real-time seismological waveform datasets is fundamental for monitoring research. Recent, high-performance pickers apply deep-neural-networks to nearly raw seismogram inputs. However, there a long history of rule-based, automated detection methods that efficiently exploit variations in amplitude, frequency polarization seismograms. Here we use this domain-knowledge transform seismograms as input deep-learning picker. We preprocess 3-component...
&lt;p&gt;The performances and sensitivity of gravitational wave (GW) detectors are significantly affected by the seismic environment. In particular, displacements density fluctuations ground due to seismic-wave propagation introduce noise in detector output signal; this is referred as gravity-gradient noise, or Newtonian Noise (NN). The development effective strategies for mitigating effects NN requires, therefore, a thorough assessment wavefields medium properties at around GW...
Recent developments of machine learning (ML) algorithms and software-platforms (e.g. Keras, TensorFlow, PyTorch) have opened new frontiers for Earth sciences. In seismology, these advances affected different aspects the earthquake physics studies, such as ground motion prediction, seismic phase detection identification, big-data analysis.Within project Pianeta Dinamico (Working Earth) Istituto Nazionale di Geofisica e Vulcanologia, funded by Italian Ministry University Research, in 2021 we...
Distributed Acoustic Sensing (DAS) is becoming increasingly popular in microseismic monitoring operations. This data acquisition technology converts fiber-optic cables into dense arrays of seismic sensors that can sample the wavefield produced by active or passive sources with a high spatial density, over distances ranging from few hundred meters to tens kilometers. However, standard analysis procedures have several limitations when dealing (inter-sensor spacing up sub-meter scale) sampling...
The “a priori” knowledge of the physical and characteristics geometry subsoil is basic element both for optimisation design engineering constructions, means to avoid or reduce so called “archaeological risk” which can cause interruption works. On other hand imperfect thoughtless forbidden intervention that follow, produce loss cultural goods without “memory” archaeological remains. Practically very usual in “urgency” condition especially urban areas and/or a building construction. In such...
&lt;p&gt;The southern Apennines range hosts a well documented case of protracted Reservoir Induced Seismicity (RIS) associated to the Pertusillo artificial lake. Since deployment local monitoring network in 2001, M3+ swarms were recorded south this medium-sized water reservoir. Interpretation terms RIS relies on positive correlation found between seasonal level changes and earthquake rate that increases during winter-spring refill. We present new high-resolution catalogue obtained by...