Pregled bibliografske jedinice broj: 779843
Stochastically improved methodology for probability of success (‘POS’) calculation in hydrocarbon systems
Stochastically improved methodology for probability of success (‘POS’) calculation in hydrocarbon systems // RMZ - Materials and geoenvironment, 62 (2015), 3; 149-155 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 779843 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Stochastically improved methodology for probability of success (‘POS’) calculation in hydrocarbon systems
Autori
Malvić, Tomislav ; Velić, Josipa
Izvornik
RMZ - Materials and geoenvironment (1408-7073) 62
(2015), 3;
149-155
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
geological risk ; determinism ; stochastics ; Neogene ; Northern Croatia
Sažetak
Geological risk of new hydrocarbon reserves discovering is usually calculated on deterministical or expert-opinion way, and expressed as ‘Probability Of Success’ (abbr. POS). In both approaches are included selections of single probability values for each geological event organised into geological categories that define hydrocarbon system. Here is described a hybrid, i.e. stochastical, model based on the deterministical approach. Here was given example from the Croatian part of the Pannonian Basin System (abbr. CPBS), improved with stochastically estimated subcategory for porosity mapped in the Stari Gradac-Barcs Nygat Field (Drava Depression). Furthermore, there is theoretically explained how such approach could be applied for two other subcategories – quality of cap rocks and hydrocarbon shows. Presented methodology could be advantageous in clastic hydrocarbon system evaluation.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
POVEZANOST RADA
Projekti:
195-1951293-0237 - Stratigrafska i geomatematička istraživanja naftnogeoloških sustava u Hrvatskoj (Velić, Josipa, MZOS ) ( CroRIS)
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Citiraj ovu publikaciju:
Uključenost u ostale bibliografske baze podataka::
- CA Search (Chemical Abstracts)
- GeoRef
- METADEX: Metals Science
- Energy Science and Technology
- PASCAL