KFU. Card publication. The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature

KAZAN
FEDERAL UNIVERSITY

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THE THERMAL STATE OF VOLGO&NDASH;URALIA FROM BAYESIAN INVERSION OF SURFACE HEAT FLOW AND TEMPERATURE

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Nurgaliev Danis Karlovich, author

Ognev Igor Nikolaevich, author

Other authors

Ebbing Jörg , author

Lösing Mareen , author

Bibliographic description in the original language

Ognev I., Ebbing J., Lösing M., Nurgaliev D. The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature // Geophysical Journal International. 2023. Vol. 232. Issue 1. P.322–342.

Annotation

Volgo–Uralia is the easternmost segment of the East European Craton. It accommodates the Volga–Ural petroleum province where the maturity of source rocks is tightly related to the temperature distribution in the crust. Numerous heat flow and temperature measurements have been reported for this region. However, no consistent geothermal model was presented for the Volgo–Uralian crustal block so far. In this study, we present a novel model of the Volgo–Uralian geothermal field where we aim to reconcile the reported heat flow and temperature data. The main goal of the study is to explore lateral variations of the unknown thermal parameters within Volgo–Uralia. For this purpose, we applied a Bayesian Markov Chain Monte Carlo approach where we used the known surface heat flow, surface temperature, lithosphere–asthenosphere boundary temperature and thicknesses of the Earth's lithospheric and crustal layers as input and investigated the possible lateral variations of crustal and lithospheric mantle thermal conductivities, crustal heat production and mantle heat flow. We implemented this methodology for a single-layer and multilayer crust and validated the obtained geothermal models with existing subsurface temperature measurements for the region. The results show that the Volgo–Uralian subcraton is characterized by significant lateral variations of crustal radiogenic heat production (RHP) and mantle heat flow. The variations of crustal and lithospheric mantle thermal conductivities are less pronounced. According to our model, the surface heat flow distribution is controlled mostly by crustal RHP which accounts for more than half of Volgo–Uralian surface heat flow. Validation of the models shows that single-layer and multilayer crustal models give roughly the same fit of measured and modelled temperatures. This implies that a single-layer crust with constant RHP can be considered a sufficient approximation for regional-scale geothermal modelling.

Keywords

Heat flow, Inverse theory, Numerical modelling, Statistical methods, Cratons, Heat generation and transport, Radiogenic heat production, Bayesian inversion

The name of the journal

GEOPHYSICAL JOURNAL INTERNATIONAL

URL

https://academic.oup.com/gji/article-abstract/232/1/322/6678004

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=276030&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Nurgaliev Danis Karlovich	ru_RU
dc.contributor.author	Ognev Igor Nikolaevich	ru_RU
dc.contributor.author	Ebbing Jörg	ru_RU
dc.contributor.author	Lösing Mareen	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Ognev I., Ebbing J., Lösing M., Nurgaliev D. The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature // Geophysical Journal International. 2023. Vol. 232. Issue 1. P.322–342.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=276030&p_lang=2	ru_RU
dc.description.abstract	GEOPHYSICAL JOURNAL INTERNATIONAL	ru_RU
dc.description.abstract	Volgo–Uralia is the easternmost segment of the East European Craton. It accommodates the Volga–Ural petroleum province where the maturity of source rocks is tightly related to the temperature distribution in the crust. Numerous heat flow and temperature measurements have been reported for this region. However, no consistent geothermal model was presented for the Volgo–Uralian crustal block so far. In this study, we present a novel model of the Volgo–Uralian geothermal field where we aim to reconcile the reported heat flow and temperature data. The main goal of the study is to explore lateral variations of the unknown thermal parameters within Volgo–Uralia. For this purpose, we applied a Bayesian Markov Chain Monte Carlo approach where we used the known surface heat flow, surface temperature, lithosphere–asthenosphere boundary temperature and thicknesses of the Earth's lithospheric and crustal layers as input and investigated the possible lateral variations of crustal and lithospheric mantle thermal conductivities, crustal heat production and mantle heat flow. We implemented this methodology for a single-layer and multilayer crust and validated the obtained geothermal models with existing subsurface temperature measurements for the region. The results show that the Volgo–Uralian subcraton is characterized by significant lateral variations of crustal radiogenic heat production (RHP) and mantle heat flow. The variations of crustal and lithospheric mantle thermal conductivities are less pronounced. According to our model, the surface heat flow distribution is controlled mostly by crustal RHP which accounts for more than half of Volgo–Uralian surface heat flow. Validation of the models shows that single-layer and multilayer crustal models give roughly the same fit of measured and modelled temperatures. This implies that a single-layer crust with constant RHP can be considered a sufficient approximation for regional-scale geothermal modelling.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Heat flow	ru_RU
dc.subject	Inverse theory	ru_RU
dc.subject	Numerical modelling	ru_RU
dc.subject	Statistical methods	ru_RU
dc.subject	Cratons	ru_RU
dc.subject	Heat generation and transport	ru_RU
dc.subject	Radiogenic heat production	ru_RU
dc.subject	Bayesian inversion	ru_RU
dc.title	The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature	ru_RU
dc.type	Articles in international journals and collections	ru_RU