Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information

The exploitation of gravity fields in order to retrieve information about subsurface geological structures is sometimes considered a second rank method, in favour of other geophysical methods, such as seismic, able to provide a high resolution detailed picture of the main geological horizons. Within...

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Autores principales:	Daniele Sampietro, Martina Capponi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	inverse gravimetric problem 3D inversion crustal structure Moho depth to basement Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/dfeccf351f81434797db8cd105bc19f5
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spelling	oai:doaj.org-article:dfeccf351f81434797db8cd105bc19f52021-11-25T17:43:07ZSeismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information10.3390/geosciences111104672076-3263https://doaj.org/article/dfeccf351f81434797db8cd105bc19f52021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3263/11/11/467https://doaj.org/toc/2076-3263The exploitation of gravity fields in order to retrieve information about subsurface geological structures is sometimes considered a second rank method, in favour of other geophysical methods, such as seismic, able to provide a high resolution detailed picture of the main geological horizons. Within the current work we prove, through a realistic synthetic case study, that the gravity field, thanks to the availability of freely of charge high resolution global models and to the improvements in the gravity inversion methods, can represent a valid and cheap tool to complete and enhance geophysical modelling of the Earth’s crust. Three tests were carried out: In the first one a simple two-layer problem was considered, while in tests two and three we considered two more realistic scenarios in which the availability on the study area of constraints derived from 3D or 2D seismic surveys were simulated. In all the considered test cases, in which we try to simulate real-life scenarios, the gravity field, inverted by means of an advanced Bayesian technique, was able to obtain a final solution closer to the (simulated) real model than the assumed a priori information, typically halving the uncertainties in the geometries of the main geological horizons with respect to the initial model.Daniele SampietroMartina CapponiMDPI AGarticleinverse gravimetric problem3D inversioncrustal structureMohodepth to basementGeologyQE1-996.5ENGeosciences, Vol 11, Iss 467, p 467 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	inverse gravimetric problem 3D inversion crustal structure Moho depth to basement Geology QE1-996.5
spellingShingle	inverse gravimetric problem 3D inversion crustal structure Moho depth to basement Geology QE1-996.5 Daniele Sampietro Martina Capponi Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
description	The exploitation of gravity fields in order to retrieve information about subsurface geological structures is sometimes considered a second rank method, in favour of other geophysical methods, such as seismic, able to provide a high resolution detailed picture of the main geological horizons. Within the current work we prove, through a realistic synthetic case study, that the gravity field, thanks to the availability of freely of charge high resolution global models and to the improvements in the gravity inversion methods, can represent a valid and cheap tool to complete and enhance geophysical modelling of the Earth’s crust. Three tests were carried out: In the first one a simple two-layer problem was considered, while in tests two and three we considered two more realistic scenarios in which the availability on the study area of constraints derived from 3D or 2D seismic surveys were simulated. In all the considered test cases, in which we try to simulate real-life scenarios, the gravity field, inverted by means of an advanced Bayesian technique, was able to obtain a final solution closer to the (simulated) real model than the assumed a priori information, typically halving the uncertainties in the geometries of the main geological horizons with respect to the initial model.
format	article
author	Daniele Sampietro Martina Capponi
author_facet	Daniele Sampietro Martina Capponi
author_sort	Daniele Sampietro
title	Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
title_short	Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
title_full	Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
title_fullStr	Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
title_full_unstemmed	Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information
title_sort	seismic constrained gravity inversion: a reliable tool to improve geophysical models away from seismic information
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/dfeccf351f81434797db8cd105bc19f5
work_keys_str_mv	AT danielesampietro seismicconstrainedgravityinversionareliabletooltoimprovegeophysicalmodelsawayfromseismicinformation AT martinacapponi seismicconstrainedgravityinversionareliabletooltoimprovegeophysicalmodelsawayfromseismicinformation
_version_	1718412076998721536

Seismic Constrained Gravity Inversion: A Reliable Tool to Improve Geophysical Models Away from Seismic Information

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