Supplementary material to "The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High AgriValley (southern Italy)"

2019 ◽  
Author(s):  
Tony Alfredo Stabile ◽  
Vincenzo Serlenga ◽  
Claudio Satriano ◽  
Marco Romanelli ◽  
Erwan Gueguen ◽  
...  
Keyword(s):  
Induced Seismicity ◽  
Southern Italy ◽  
Seismic Network ◽  
Research Infrastructure ◽  
Supplementary Material

scholarly journals The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy)

2020 ◽  
Vol 12 (1) ◽  
pp. 519-538 ◽  
Author(s):  
Tony Alfredo Stabile ◽  
Vincenzo Serlenga ◽  
Claudio Satriano ◽  
Marco Romanelli ◽  
Erwan Gueguen ◽  
...  
Keyword(s):  
Open Access ◽  
Induced Seismicity ◽  
Southern Italy ◽  
Risk Mitigation ◽  
Full Range ◽  
Network Code ◽  
Seismic Network ◽  
Wastewater Disposal ◽  
Industrial Operations ◽  
Consiglio Nazionale Delle Ricerche

Abstract. The High Agri Valley is a tectonically active area in southern Italy characterized by high seismic hazard related to fault systems capable of generating up to M=7 earthquakes (i.e. the 1857 Mw=7 Basilicata earthquake). In addition to the natural seismicity, two different clusters of induced microseismicity were recognized to be caused by industrial operations carried out in the area: (1) the water loading and unloading operations in the Pertusillo artificial reservoir and (2) the wastewater disposal at the Costa Molina 2 injection well. The twofold nature of the recorded seismicity in the High Agri Valley makes it an ideal study area to deepen the understanding of driving processes of both natural and anthropogenic earthquakes and to improve the current methodologies for the discrimination between natural and induced seismic events by collecting high-quality seismic data. Here we present the dataset gathered by the INSIEME seismic network that was installed in the High Agri Valley within the SIR-MIUR research project INSIEME (INduced Seismicity in Italy: Estimation, Monitoring, and sEismic risk mitigation). The seismic network was planned with the aim to study the two induced seismicity clusters and to collect a full range of open-access data to be shared with the whole scientific community. The seismic network is composed of eight stations deployed in an area of 17 km×11 km around the two clusters of induced microearthquakes, and it is equipped with triaxial weak-motion broadband sensors placed at different depths down to 50 m. It allows us to detect induced microearthquakes, local and regional earthquakes, and teleseismic events from continuous data streams transmitted in real time to the CNR-IMAA Data Centre. The network has been registered at the International Federation of Digital Seismograph Networks (FDSN) with code 3F. Data collected until the end of the INSIEME project (23 March 2019) are already released with open-access policy through the FDSN web services and are available from IRIS DMC (https://doi.org/10.7914/SN/3F_2016; Stabile and INSIEME Team, 2016). Data collected after the project will be available with the permanent network code VD (https://doi.org/10.7914/SN/VD, CNR IMAA Consiglio Nazionale delle Ricerche, 2019) as part of the High Agri Valley geophysical Observatory (HAVO), a multi-parametric network managed by the CNR-IMAA research institute.

scholarly journals The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High AgriValley (southern Italy)

2019 ◽  
Author(s):  
Tony Alfredo Stabile ◽  
Vincenzo Serlenga ◽  
Claudio Satriano ◽  
Marco Romanelli ◽  
Erwan Gueguen ◽  
...  
Keyword(s):  
Open Access ◽  
Induced Seismicity ◽  
Southern Italy ◽  
Risk Mitigation ◽  
Full Range ◽  
Seismic Network ◽  
Wastewater Disposal ◽  
Industrial Operations ◽  
Tectonically Active ◽  
Seismic Risk Mitigation

Abstract. The High Agri Valley is a tectonically active area in southern Italy characterized by high seismic hazard related to fault systems capable of generating up to M=7 earthquakes (i.e., the 1857 Mw 7 Basilicata earthquake). In addition to the natural seismicity, two different clusters of induced microseismicity were recognized to be caused by industrial operations carried out in the area: (1) the water loading and unloading operations in the Pertusillo artificial reservoir; (2) the wastewater disposal at the Costa Molina 2 injection well. The twofold nature of the recorded seismicity in the High Agri Valley makes it an ideal study area to deepen the understanding of nucleation processes of both natural and anthropogenic earthquakes and to improve the current methodologies for the discrimination between natural and induced seismic events by collecting high quality seismic data. Here we present the dataset gathered by the INSIEME seismic network that was installed in the High Agri Valley within the SIR-MIUR research project INSIEME (INduced Seismicity in Italy: Estimation, Monitoring, and sEismic risk mitigation). The seismic network was planned with the aim to study the two induced seismicity clusters and to collect a full-range of open-access data to be shared with the whole scientific community. The seismic network is composed by 8 stations deployed in an area of 17 km x 11 km around the two clusters of induced microearthquakes and it is equipped with triaxial weak-motion broadband sensors placed at different depths down to 50 m. It allows to detect induced microearthquakes, local/regional earthquakes, and teleseisms from continuous data streams transmitted in real-time to the CNR-IMAA Data Centre. The network has been registered at the International Federation of Digital Seismograph Networks (FDSN) with code 3F. Data collected until the end of the INSIEME project (2019-03-23) are already released with open-access policy through the FDSN webservices and are available from http://www.fdsn.org/networks/detail/3F_2016 (https://doi.org/10.7914/SN/3F_2016; Stabile et al., 2016).

scholarly journals Supplementary material to "HR3DHG version 1: modelling the spatio-temporal dynamics of mercury in the Augusta Bay (southern Italy)"

2019 ◽  
Author(s):  
Giovanni Denaro ◽  
Daniela Salvagio Manta ◽  
Alessandro Borri ◽  
Maria Bonsignore ◽  
Davide Valenti ◽  
...  
Keyword(s):  
Southern Italy ◽  
Temporal Dynamics ◽  
Supplementary Material ◽  
Spatio Temporal

Numerical Modelling of Injection-induced Seismicity at Campi Flegrei Caldera, Southern Italy

2021 ◽  
Author(s):  
Waheed Gbenga Akande ◽  
Quan Gan ◽  
David G. Cornwell ◽  
Luca De Siena
Keyword(s):  
Numerical Modelling ◽  
Induced Seismicity ◽  
Southern Italy ◽  
Rock Physics ◽  
Critical Factor ◽  
Fault Reactivation ◽  
Hot Water ◽  
Campi Flegrei ◽  
Campi Flegrei Caldera ◽  
Seismic Swarms

<p>Modelling volcanic processes at active volcanoes often requires a multidisciplinary approach, which adequately describes the complex and ever-dynamic nature of volcanic unrests. Campi Flegrei caldera (southern Italy) is an ideal laboratory where numerical modelling of injection-induced seismicity could be tested to match the observed seismicity. In the current study, thermal-hydraulic-mechanical (THM) effects of hot-water (fluid) injections were investigated to ascertain whether the observed seismicity (past and ongoing seismic swarms) could be quantitatively reproduced and modelled in isothermal or non-isothermal approximations. Fluid-flow modelling was carried out using a coupled TOUGHREACT-FLAC<sup>3D</sup> approach to simulate THM effects of fluid injections in a capped reservoir, where the sealing formation serves as a geological interface between supercritical reservoir and fractured shallow layers of the caldera. Results from previous seismic, deformation, tomographic and rock physics studies were used to constrain the model for realistic volcano modelling. The results indicated that fluid injections generated overpressure beneath the caprock and subjected it to different stress regimes at its top and bottom, and this prompted deformation. Thus, caprock deformation, triggered by injection-induced basal compressional forces and top extensional fractures, is a critical factor determining the required timing for pressure build-up and fault reactivation, and magnitudes of seismicity. Higher fluid injection rates and temperature contrasts, heterogeneity due to fault and its contrast with the host rock, and caprock hydraulic properties were among the identified secondary factors modulating fault reactivation and seismicity. Simulation results revealed that seismicity can be better modelled in isothermal (HM) approximations. A comparative study of the THM-modelled seismicity and 4-month-long (August 5<sup>th</sup> to December 5<sup>th</sup>, 2019) seismic monitoring data recorded at the Osservatorio Vesuviano showed that our model reproduced the magnitudes and depths (~2.5 Ms within 2 km) at the onset of the ongoing unrests on October 5<sup>th</sup>, 2019. However, the model could not adequately reproduce the highest magnitude (3.3 Ms at 2.57 km) seismicity on April 26<sup>th</sup>, 2020 observed since 1984 major unrests.</p><p> </p>

scholarly journals Analysis of the 2016–2018 fluid-injection induced seismicity in the High Agri Valley (Southern Italy) from improved detections using template matching

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
T. A. Stabile ◽  
Josef Vlček ◽  
Milosz Wcisło ◽  
Vincenzo Serlenga
Keyword(s):  
Induced Seismicity ◽  
Template Matching ◽  
Southern Italy ◽  
Damage Zone ◽  
Fluid Injection ◽  
Seismic Events ◽  
Operational Parameters ◽  
Seismic Catalogue ◽  
Single Station ◽  
Completeness Magnitude

AbstractImproving the capability of seismic network to detect weak seismic events is one of the timeless challenges in seismology: the greater is the number of detected and locatable seismic events, the greater insights on the mechanisms responsible for seismic activation may be gained. Here we implement and apply a single-station template matching algorithm to detect events belonging to the fluid-injection induced seismicity cluster located in the High Agri Valley, Southern Italy, using the continuous seismic data stream of the closest station of the INSIEME network. To take into account the diversity of waveforms, albeit belonging to the same seismic cluster, eight different master templates were adopted. Afterwards, using all the stations of the network, we provide a seismic catalogue consisting of 196 located earthquakes, in the magnitude range − 1.2 ≤ Ml ≤ 1.2, with a completeness magnitude Mc = − 0.5 ± 0.1. This rich seismic catalogue allows us to describe the damage zone of a SW dipping fault, characterized by a variety of fractures critically stressed in the dip range between ~ 45° and ~ 75°. The time-evolution of seismicity clearly shows seismic swarm distribution characteristics with many events of similar magnitude, and the seismicity well correlates with injection operational parameters (i.e. injected volumes and injection pressures).

Fluid injection induced seismicity reveals a NE dipping fault in the southeastern sector of the High Agri Valley (southern Italy)

2014 ◽  
Vol 41 (16) ◽  
pp. 5847-5854 ◽  
Author(s):  
T. A. Stabile ◽  
A. Giocoli ◽  
A. Perrone ◽  
S. Piscitelli ◽  
V. Lapenna
Keyword(s):  
Induced Seismicity ◽  
Southern Italy ◽  
Fluid Injection

A Duration Magnitude Scale for the Irpinia Seismic Network, Southern Italy

2014 ◽  
Vol 85 (1) ◽  
pp. 98-107 ◽  
Author(s):  
S. Colombelli ◽  
A. Emolo ◽  
A. Zollo
Keyword(s):  
Southern Italy ◽  
Seismic Network ◽  
Magnitude Scale ◽  
Duration Magnitude

scholarly journals A first look at the Gargano (southern Italy) seismicity as seen by the local scale OTRIONS seismic network

2014 ◽  
Vol 57 (4) ◽  
Author(s):  
Salvatore de Lorenzo ◽  
Annalisa Romeo ◽  
Luigi Falco ◽  
Maddalena Michele ◽  
Andrea Tallarico
Keyword(s):  
Southern Italy ◽  
Velocity Model ◽  
Local Scale ◽  
Seismic Network ◽  
P Wave ◽  
Travel Times ◽  
Velocity Models ◽  
P Wave Velocity ◽  
Short Period ◽  
Inversion Procedure

<p>On April 2013, a local scale seismic network, named OTRIONS, composed of twelve short period (1 Hz) three component seismometers, has been located in the northern part of the Apulia (southern Italy). In the first two months of data acquisition, the network recorded about one hundred very small (M<span><sub>L</sub></span>&lt;2) magnitude earthquakes. A three-layer 1D V<span><sub>P</sub></span> velocity model was preliminarily computed, using the recordings of earthquakes occurred in the area in the period 2006-2012 and recorded by the national seismic network of INGV (Istituto Nazionale di Geofisica e Vulcanologia). This model was calibrated by means of a multi-scale approach, based on a global search of the minimum misfit between observed and theoretical travel times. At each step of the inversion, a grid-search technique was implemented to infer the elastic properties of the layers, by using HYPO71 to compute the forward models. In a further step, we used P and S travel times of both INGV and OTRIONS events to infer a minimum 1D V<span><sub>P</sub></span> velocity model, using a classical linearized inversion approach. Owing to the relatively small number of data and poor coverage of the area, in the inversion procedure, the V<span><sub>P</sub></span>/V<span><sub>S</sub></span> ratio was fixed to 1.82, as inferred from a modified Wadati diagram. The final 1D velocity model was obtained by averaging the inversion results arising from nine different initial velocity models. The inferred V<span><sub>P</sub></span> velocity model shows a gradual increase of P wave velocity with increasing the depth. The model is well constrained by data until to a depth of about 25-30 km.</p>

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