Pregled bibliografske jedinice broj: 1016800
Comparison of the Sweetness Seismic Attribute and Porosity–Thickness Maps, Sava Depression, Croatia
Comparison of the Sweetness Seismic Attribute and Porosity–Thickness Maps, Sava Depression, Croatia // Geosciences, 8 (2018), 11; 426, 14 (međunarodna recenzija, članak, znanstveni)
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Naslov
Comparison of the Sweetness Seismic Attribute and
Porosity–Thickness Maps, Sava Depression, Croatia
Autori
Novak Zelenika, Kristina ; Novak Mavar, Karolina ; Brnada, Stipica
Izvornik
Geosciences (2076-3263) 8
(2018), 11;
426, 14
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
sweetness seismic attribute ; porosity–thickness maps ; sandstone reservoirs ; Sava Depression ; Croatia
Sažetak
The sweetness seismic attribute is a very useful tool for proper description of the depositional environment, reservoir quality and lithofacies discrimination. This paper shows that depositional channels and turbidity sandstones deposited during the Upper Pannonian and Lower Pontian in the Sava Depression can be described using porosity–thickness and sweetness seismic attribute maps. Two studied reservoirs are of Neogene stage (“UP” reservoir of Upper Pannonian age and “LP” reservoir of Lower Pontian age) and located in the Sava Depression, Croatia. Both reservoirs contain medium to fine grained sandstones that are intercalated with basinal marls. A comparison of the sweetness seismic attribute and porosity–thickness maps show a good visual match with correlation coefficient of approximately 0.85. A mismatch was observed in areas with small reservoir thickness. This work demonstrates the importance of using porosity– thickness maps for reservoir characterization. The workflow presented in this work has wider applications in frontier areas with poor seismic data or coverage.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus