Naslov
Indicator vs. Gaussian geostatistical methods in sandstone reservoirs - Case study from the Sava Depression, Croatia

Autori
Malvić, Tomislav ; Novak Zelenika, Kristina ; Cvetković, Marko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Abstracts of The XIV. Congress of Hungarian Geomathematics and the III. Congress of Croatian and Hungarian geomathematics "Applications of geostatistics, GIS and remote sensing in fields of geosciences and environmental protection" / Geiger, Janos - Segedin : Magjarhoni Foldtani Tarsulat, 2011, 10-10

ISBN
978-963-8221-45-2

Skup
Congress of Hungarian Geomathematics (14 ; 2011) ; Congress of Croatian and Hungarian geomathematics (3 ; 2011)

Mjesto i datum
Mórahalom, Mađarska, 25.05.2011. - 29.05.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
simulations; deterministical methods; sandstone reservoirs; Kloštar field; Sava depression

Sažetak
Geostatistical methods are very often used in reservoir modelling, but sometimes the hardest question is which method should be used to obtain the most realistic solution. Many geologists prefer determinism despite the fact that there is just one solution obtained. Simulations in contrary provide as many realizations as we want, so with 5-10 realizations we can get a quick inside in the uncertainties of mapped area, but with 100 realizations 95% of all possible uncertainties is covered and the areas with the highest uncertainty can be outlined. Lower Pontian sandstone reservoirs of the Kloštar Field (the Sava Depression) are mapped by deterministic and stochastic methods. Input variables were porosity, thickness and depth. Applied deterministic methods were Ordinary Kriging (OK) and Indicator Kriging (IK) and stochastic were Sequential Gaussian Simulations (SGS) and Sequential indicator simulations (SIS). Results showed that in some cases stochastic methods gave the better solutions, and in some others deterministic was more appropriate. Results also showed that the most important question is not which approach to use, rather what we want to get with mapped variables? If we want to get some knowledge about depositional environments and lithofacies changes by porosity mapping, best results were obtained by IK and SIS. On the other hand SGS showed better solutions if the maps should show the structure but also in property distribution inside the reservoir.

Izvorni jezik
Engleski

Znanstvena područja
Geologija

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