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3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy (CROSBI ID 300386)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Proietti, Giampaolo ; Cvetković, Marko ; Saftić, Bruno ; Conti, Alessia : Romano, Valentina ; Bigi, SAbina 3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy // Petroleum geoscience, 28 (2022), 1; petgeo2020-117, 13. doi: 10.1144/petgeo2020-117

Podaci o odgovornosti

Proietti, Giampaolo ; Cvetković, Marko ; Saftić, Bruno ; Conti, Alessia : Romano, Valentina ; Bigi, SAbina

engleski

3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy

One of the most innovative and effective technologies developed in recent decades for reducing carbon dioxide emissions to the atmosphere is CCS (Carbon Capture & Storage). It consists of capture, transport and injection of CO2 produced by energy production plants or other industries. The injection takes place in deep geological formations with the suitable geometrical and petrophysical characteristics to permanently trap CO2 in the subsurface, which is called geological storage. In the development process of a potential geological storage site, correct capacity estimation of the injectable volumes of CO2 is one of the most important aspects. There are various approaches to estimate CO2 storage capacities for potential traps, including geometrical equations, dynamic modelling, numerical modelling, and 3D modelling. In this work, generation of three-dimensional petrophysical models and equations for calculation of the storage volumesare used to estimate the effective storage capacity of four potential saline aquifers in the Adriatic Sea offshore. The results show how different saline aquifers, with different lithologies at favourable depths, can host a fair amount of CO2, that will imply a further and more detailed feasibility studies for each of these structures. A detailed analysis is carried out for each saline aquifer identified, varying the parameters of each structure identified, and adapting them for a realistic estimate of potential geological storage capacity.

Adriatic Sea ; CO2 storage ; 3D Modelling

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Podaci o izdanju

28 (1)

2022.

petgeo2020-117

13

objavljeno

1354-0793

10.1144/petgeo2020-117

Povezanost rada

Geologija

Poveznice
Indeksiranost