Pregled bibliografske jedinice broj: 284744
Geostatistički alati u karakterizaciji ležišta
Geostatistički alati u karakterizaciji ležišta // New Approaches and Methods in Evaluating Hydrocarbon Reserves / Programski odbor (ur.).
Zagreb: Hrvatska akademija znanosti i umjetnosti (HAZU), 2006. str. 23-25 (poster, nije recenziran, sažetak, stručni)
CROSBI ID: 284744 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Geostatistički alati u karakterizaciji ležišta
(Geostatistical Tools in Reservoir Characterisation)
Autori
Malvić , Tomislav
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, stručni
Izvornik
New Approaches and Methods in Evaluating Hydrocarbon Reserves
/ Programski odbor - Zagreb : Hrvatska akademija znanosti i umjetnosti (HAZU), 2006, 23-25
Skup
4. međunarodni naftnogeologijski znanstveni skup "Novi pristupi i metode procjene rezervi ugljikovodika"
Mjesto i datum
Zagreb, Hrvatska, 16.11.2006. - 18.11.2006
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
geostatistika; kriging; kokriging; stohastičke simulacije; poroznost
(geostatistics; Kriging; Cokriging; stochastic simulations; porosity)
Sažetak
Geostatistics is very powerful and standard tool in geological modelling of hydrocarbon reservoirs, starting from eighties in 20th century and last to date. It includes mathematical theory developed for describing of regional variable behaviour. Today geostatistics is used widely in petroleum geology as well as other geosciences that handle by spatial distribution of regional variable. It is based on variogram analysis and different interpolation and simulation techniques. The advantages of geostatistics interpolations (different Kriging techniques) are obviously for almost every datasets that include 15 or more point data. Set of Cokriging methods allow to include one or more secondary variables to improve mapping process of primary variable. The most often example is porosity mapping supported by seismic attributes. Second group geostatistical methods encompass stochastical simulations. This very useful tool allows creating a set of equiprobable realizations of mapped variable. Particular realization can be selected based on several geological criteria.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
Napomena
Rad će naknadno biti međunarodno recenziran i tiskan.
POVEZANOST RADA
Projekti:
0195035
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Profili:
Tomislav Malvić
(autor)