We present a 1D shear-velocity model for Los Humeros geothermal field (Mexico) obtained from three-component beamforming of ambient seismic noise, imaging for the first time the bottom of the sedimentary basement ~ 5 km below the volcanic caldera, as well as the brittle-ductile transition at ~ 10 km depth. Rayleigh-wave dispersion curves are extracted from ambient seismic noise measurements and inverted using a Markov chain Monte Carlo scheme. The resulting probability density function provides the shear-velocity distribution down to 15 km depth, hence, much deeper than other techniques applied in the area. In the upper 4 km, our model conforms to a profile from local seismicity analysis and matches geological structure inferred from well logs, which validates the methodology. Complementing information from well logs and outcrops at the near surface, discontinuities in the seismic profile can be linked to geological transitions allowing us to infer structural information of the deeper subsurface. By constraining the extent of rocks with brittle behavior and permeability conditions at greater depths, our results are of paramount importance for the future exploitation of the reservoir and provide a basis for the geological and thermodynamic modeling of active superhot geothermal systems, in general. ? 2020 Seismological Society of America.

Imaging the deep structures of los humeros geothermal field, Mexico, using three-component seismic noise beamforming

Norini G;
2020

Abstract

We present a 1D shear-velocity model for Los Humeros geothermal field (Mexico) obtained from three-component beamforming of ambient seismic noise, imaging for the first time the bottom of the sedimentary basement ~ 5 km below the volcanic caldera, as well as the brittle-ductile transition at ~ 10 km depth. Rayleigh-wave dispersion curves are extracted from ambient seismic noise measurements and inverted using a Markov chain Monte Carlo scheme. The resulting probability density function provides the shear-velocity distribution down to 15 km depth, hence, much deeper than other techniques applied in the area. In the upper 4 km, our model conforms to a profile from local seismicity analysis and matches geological structure inferred from well logs, which validates the methodology. Complementing information from well logs and outcrops at the near surface, discontinuities in the seismic profile can be linked to geological transitions allowing us to infer structural information of the deeper subsurface. By constraining the extent of rocks with brittle behavior and permeability conditions at greater depths, our results are of paramount importance for the future exploitation of the reservoir and provide a basis for the geological and thermodynamic modeling of active superhot geothermal systems, in general. ? 2020 Seismological Society of America.
2020
Istituto di Geologia Ambientale e Geoingegneria - IGAG
Beamforming
Dispersion (waves); Geology; Geothermal fields; Markov chains; Petroleum reservoir engineering; Probability density function; Probability distributions; Seismic waves; Seismology; Shear flow
Ambient seismic noise; Brittle ductile transitions; Geological structures; Markov Chain Monte-Carlo; Permeability conditions; Rayleigh-wave dispersion; Shear velocity models; Structural information
Well logging
caldera; geothermal system; imaging method; Rayleigh wave; seismic noise; seismicity; structural geology; wave dispersion
Los Humeros; Mexico [North America
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/388818
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