Defining a 3D physical model for the hydrothermal circulation at Campi Flegrei caldera (Italy)

Petrillo, Zaccaria; Chiodini, Giovanni; Mangiacapra, A.; Caliro, Stefano; Capuano, Paolo; Russo, G.; Cardellini, Carlo; Avino, R.

doi:10.1016/j.jvolgeores.2013.08.008

Cited by 40 publications

(56 citation statements)

References 37 publications

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“…Chiodini et al, 2003Chiodini et al, , 2012Todesco et al, 2003Todesco et al, , 2004Petrillo et al, 2013) performed with TOUGH2 code, were aimed to model the injection at depth, underneath the Solfatara crater, of a hot CO 2 -H 2 O mixture, using composition constrained by the geochemical interpretation (Caliro et al, 2007) and fluxes able to reproduce, at steady state conditions, those measured around the Solfatara crater. Except the study by Petrillo et al (2013), who considered realistic 3D geometry (and heterogeneity) derived from geophysical data, most of the past simulations were carried out assuming an axisymmetric cylindrical domain and homogeneous properties of the rocks. The computational domain considered in these studies had different extensions ranging from 2.5 km to 6 km in radius and from 1.5 km to 3 km in depth.…”

Section: Geological Setting and Previous Simulationsmentioning

confidence: 99%

“…5). In order to reduce effects due to boundary conditions, we extended the domain of Petrillo et al (2013) by using a lower resolution peripheral region (region II, green zone in Fig. 5).…”

Section: Modelling Hydrothermal Activitymentioning

confidence: 99%

“…One of the most popular is TOUGH2 (Pruess et al, 1999;Pruess, 2004) and its capability can be assessed through the numerous examples of its applications (e.g., Todesco, 2009;Petrillo et al, 2013). In this study we apply the MUFITS software (Afanasyev, 2013b), which we present to the volcanology community for the first time.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: Extension to high temperature processes

Afanasyev

Costa

Chiodini

2015

Journal of Volcanology and Geothermal Research

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Section: Geological Setting and Previous Simulationsmentioning

confidence: 99%

“…5). In order to reduce effects due to boundary conditions, we extended the domain of Petrillo et al (2013) by using a lower resolution peripheral region (region II, green zone in Fig. 5).…”

Section: Modelling Hydrothermal Activitymentioning

confidence: 99%

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Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: Extension to high temperature processes

Afanasyev

Costa

Chiodini

2015

Journal of Volcanology and Geothermal Research

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“…The depth range, for which the variations in velocity are depicted, coincides with the interface of gas-dominated reservoirs overlain by shallow conductive bodies interpreted as aquifers filled by condensate (e.g. Petrillo et al 2013;Byrdina et al 2014).…”

Section: N O I S E -B a S E D 4 -D M O N I T O R I N G O F V E L O C mentioning

confidence: 77%

A 3D algorithm based on the combined inversion of Rayleigh and Love waves for imaging and monitoring of shallow structures

2017

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S U M M A R YIn recent years, there has been increasing interest in the study of seismic noise interferometry as it can provide a complementary approach to active source or earthquake-based methods for imaging and continuous monitoring the shallow structure of the Earth. This meaningful information is extracted from wavefields propagating between those receiver positions at which seismic noise was recorded. Until recently, noise-based imaging relied mostly on Rayleigh waves. However, considering similar wavelengths, a combined use of Rayleigh and Love wave tomography can succeed in retrieving velocity heterogeneities at depth due to their different sensitivity kernels. Here, we present a novel one-step algorithm for simultaneously inverting Rayleigh and Love wave dispersion data aiming at identifying and describing complex 3-D velocity structures. The algorithm may help to accurately and efficiently map the shear wave velocities and the Poisson ratio of the surficial soil layers. In the high-frequency range, the scattered part of the correlation functions stabilizes sufficiently fast to provide a reliable estimate of the velocity structure not only for imaging purposes but also allows for changes in the medium properties to be monitored. Such monitoring can be achieved with a high spatial resolution in 3-D and with a time resolution as small as a few hours. In this paper, we describe a recent array experiment in a volcanic environment in Solfatara (Italy) and we show that this novel approach has identified strong velocity variations at the interface between liquids and gas-dominated reservoirs, allowing localizing a region which is highly dynamic due to the interaction between the deep convection and its surroundings.

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“…Aizawa et al (2009) conducted a numerical simulation using the finite difference method, calculating the spatial and temporal underground conditions (pressure, temperature, fluid flux) and resulting distributions of resistivity and self-potential. Numerical computations of magnetic field changes due to the piezomagnetic effect caused by hydrothermal pressurization have been afforded by Okubo and Kanda (2010), while computations on ground deformation induced by hydrothermal activity have been investigated in several studies (Hutnak et al, 2009;Rinaldi et al, 2010;Todesco et al, 2010;Troiano et al, 2011;Fournier and Chardot, 2012;Petrillo et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Learning about Hydrothermal Volcanic Activity by Modeling Induced Geophysical Changes

Currenti

Napoli

2017

Front. Earth Sci.

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Motivated by ongoing efforts to understand the nature and the energy potential of geothermal resources, we devise a coupled numerical model (hydrological, thermal, mechanical), which may help in the characterization and monitoring of hydrothermal systems through computational experiments. Hydrothermal areas in volcanic regions arise from a unique combination of geological and hydrological features which regulate the movement of fluids in the vicinity of magmatic sources capable of generating large quantities of steam and hot water. Numerical simulations help in understanding and characterizing rock-fluid interaction processes and the geophysical observations associated with them. Our aim is the quantification of the response of different geophysical observables (i.e., deformation, gravity, and magnetic fields) to hydrothermal activity on the basis of a sound geological framework (e.g., distribution and pathways of the flows, the presence of fractured zones, caprock). A detailed comprehension and quantification of the evolution and dynamics of the geothermal systems and the definition of their internal state through a geophysical modeling approach are essential to identify the key parameters for which the geothermal system may fulfill the requirements to be exploited as a source of energy. For the sake of illustration only, the numerical computations are focused on a conceptual model of the hydrothermal system of Vulcano Island by simulating a generic 1-year unrest and estimating different geophysical changes. We solved (i) the mass and energy balance equations of flow in porous media for temperature, pressure and density changes, (ii) the elastostatic equation for the deformation field and (iii) the Poisson's equations for gravity and magnetic potential fields. Under the model assumptions, a generic unrest of 1-year engenders on the ground surface low amplitude changes in the investigated geophysical observables, that, being above the accuracies of the modern state-of-the-art instruments, could be traced by continuously running multi-parametric monitoring networks. Devising multidisciplinary and easy-to-use computational experiments enable us to learn how the hydrothermal system responds to unrest and which fingerprints it may leave in the geophysical signals.

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Defining a 3D physical model for the hydrothermal circulation at Campi Flegrei caldera (Italy)

Cited by 40 publications

References 37 publications

Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: Extension to high temperature processes

Investigation of hydrothermal activity at Campi Flegrei caldera using 3D numerical simulations: Extension to high temperature processes

A 3D algorithm based on the combined inversion of Rayleigh and Love waves for imaging and monitoring of shallow structures

Learning about Hydrothermal Volcanic Activity by Modeling Induced Geophysical Changes

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