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Pregled bibliografske jedinice broj: 1155695

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


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 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1155695 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

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

Izvornik
Petroleum geoscience (1354-0793) 28 (2022), 1; Petgeo2020-117, 13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Adriatic Sea ; CO2 storage ; 3D Modelling

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Projekti:
EK-H2020-653718 - ENabling Onshore CO2 Storage in Europe (ENOS) (Saftić, Bruno, EK - H2020-LCE-2015-1-two-stage) ( CroRIS)

Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Bruno Saftić (autor)

Avatar Url Marko Cvetković (autor)

Poveznice na cjeloviti tekst rada:

doi pg.lyellcollection.org

Citiraj ovu publikaciju:

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 (međunarodna recenzija, članak, znanstveni)
Proietti, G., Cvetković, M., Saftić, B., Conti, Alessia : Romano, Valentina & Bigi, S. (2022) 3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy. Petroleum geoscience, 28 (1), petgeo2020-117, 13 doi:10.1144/petgeo2020-117.
@article{article, author = {Proietti, Giampaolo and Cvetkovi\'{c}, Marko and Safti\'{c}, Bruno and Bigi, SAbina}, year = {2022}, pages = {13}, DOI = {10.1144/petgeo2020-117}, chapter = {petgeo2020-117}, keywords = {Adriatic Sea, CO2 storage, 3D Modelling}, journal = {Petroleum geoscience}, doi = {10.1144/petgeo2020-117}, volume = {28}, number = {1}, issn = {1354-0793}, title = {3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy}, keyword = {Adriatic Sea, CO2 storage, 3D Modelling}, chapternumber = {petgeo2020-117} }
@article{article, author = {Proietti, Giampaolo and Cvetkovi\'{c}, Marko and Safti\'{c}, Bruno and Bigi, SAbina}, year = {2022}, pages = {13}, DOI = {10.1144/petgeo2020-117}, chapter = {petgeo2020-117}, keywords = {Adriatic Sea, CO2 storage, 3D Modelling}, journal = {Petroleum geoscience}, doi = {10.1144/petgeo2020-117}, volume = {28}, number = {1}, issn = {1354-0793}, title = {3D modelling and capacity estimation of potential targets for CO2 storage in the Adriatic Sea, Italy}, keyword = {Adriatic Sea, CO2 storage, 3D Modelling}, chapternumber = {petgeo2020-117} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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