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Academic literature on the topic 'Larderello-Travale geothermal area'

Author: Grafiati
Published: 14 March 2023

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Journal articles on the topic "Larderello-Travale geothermal area"

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Batini, F., R. Console, and G. Luongo. "Seismological study of Larderello — Travale geothermal area." Geothermics 14, no. 2-3 (January 1985): 255–72. http://dx.doi.org/10.1016/0375-6505(85)90066-5.

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De Matteis, R., T. Vanorio, A. Zollo, S. Ciuffi, A. Fiordelisi, and E. Spinelli. "Three-dimensional tomography and rock properties of the Larderello-Travale geothermal area, Italy." Physics of the Earth and Planetary Interiors 168, no. 1-2 (May 2008): 37–48. http://dx.doi.org/10.1016/j.pepi.2008.04.019.

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Carella, Marilisa, Paolo Fulignati, Giovanni Musumeci, and Alessandro Sbrana. "Metamorphic consequences of Neogene thermal anomaly in the northern Apennines (Radicondoli-Travale area, Larderello geothermal field – Italy)." Geodinamica Acta 13, no. 6 (December 2000): 345–66. http://dx.doi.org/10.1080/09853111.2000.11105379.

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Carella, M. "Metamorphic consequences of Neogene thermal anomaly in the northern Apennines (Radicondoli-Travale area, Larderello geothermal field – Italy)." Geodinamica Acta 13, no. 6 (December 2000): 345–66. http://dx.doi.org/10.1016/s0985-3111(00)01051-2.

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Santilano, Alessandro, Alberto Godio, and Adele Manzella. "Particle swarm optimization for simultaneous analysis of magnetotelluric and time-domain electromagnetic data." GEOPHYSICS 83, no. 3 (May 1, 2018): E151—E159. http://dx.doi.org/10.1190/geo2017-0261.1.

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We have developed an innovative, simultaneous 1D optimization of electromagnetic (EM) data. Our scheme is suitable for the simultaneous analysis of magnetotelluric (MT) and time-domain EM (TDEM) data based on the probabilistic and evolutionary particle swarm optimization (PSO) algorithm. The simultaneous optimization also identifies and removes the static shift from the MT data. In our scheme, the static shift of the MT apparent resistivity curve is considered as an additional parameter [Formula: see text] to be optimized. We tested the suggested method on the synthetic data and then applied it to the data from an EM geophysical study carried out in the geothermal area of Larderello-Travale (Tuscany, Italy). Apart from the novelty of using the PSO algorithm to estimate the model parameters by joint analysis, the simultaneous optimization of the static shift parameter addresses a major problem in MT, i.e., how to define and remove the galvanic effects on MT curves according to independent information, such as that provided by TDEM data. The procedure is expected to strongly influence the application of MT, particularly in geothermal exploration, which commonly relies extensively on EM methods.
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Batini, Fausto, Andrea Brogi, Antonio Lazzarotto, Domenico Liotta, and Enrico Pandeli. "Geological features of Larderello-Travale and Mt. Amiata geothermal areas (southern Tuscany, Italy)." Episodes 26, no. 3 (September 1, 2003): 239–44. http://dx.doi.org/10.18814/epiiugs/2003/v26i3/015.

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Spichak, V. V., and O. K. Zakharova. "Application of the Electromagnetic Geothermometer in Geothermics and Geothermal Exploration." Russian Geology and Geophysics, June 2, 2022. http://dx.doi.org/10.2113/rgg20214284.

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Abstract —The latest results on electromagnetic geothermometry and its use in geothermics and geothermal exploration have been covered. Temperature models for the well-known geothermal areas, Larderello-Travale (Italy), Soultz-sous-Forêts (France) and Hengill (Iceland), constructed from electromagnetic sounding data and temperature well logs have been analyzed. 2D temperature model built along the magnetotelluric profile crossing the Travale (Italy) geothermal system allowed to locate a potential supercritical reservoir at the depth between two isotherms, TSCF ~ 400 °C and TBDT ~ 600 °C, coinciding with the seismic reflectors, detected earlier. 3D temperature model of the Hengill (Iceland) geothermal area built up to the depth 20 km, using electromagnetic sounding data, allowed us to locate high-temperature magma pockets at shallow depth (2–5 km); these magma pockets can be regarded as targets for geothermal exploration. Joint analysis of the specific resistivity and temperature models, taking into account gravity anomalies, allowed us to locate the zones of different thermal regimes within the crust; this, in turn, explained the observed seismicity pattern by thermo-mechanical properties, rather than by crust spreading. Deep temperature model, built for the Soultz-sous-Forêts (France) geothermal area from magnetotelluric data and temperature well logs, used to locate deep heat sources and predict heat transfer mechanism at depth up to 8 km.
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Dissertations / Theses on the topic "Larderello-Travale geothermal area"

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PACE, FRANCESCA. "A new method for 2D stochastic inverse modeling in Magnetotellurics: application to the Larderello-Travale geothermal field and novel results from 3D inversion." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2839851.

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Conference papers on the topic "Larderello-Travale geothermal area"

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Pace, F., A. Santilano, A. Godio, and A. Manzella. "Stochastic Inverse Modeling of Magnetotelluric Data from the Larderello-Travale Geothermal Area (Italy)." In 1st Conference on Geophysics for Geothermal-Energy Utilization and Renewable-Energy Storage. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201902507.

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