Pregled bibliografske jedinice broj: 159785
Improvements in reservoir characterization applying geostatistical modelling (estimation & stochastic simulations vs. standard interpolation methods), Case study from Croatia
Improvements in reservoir characterization applying geostatistical modelling (estimation & stochastic simulations vs. standard interpolation methods), Case study from Croatia // Proceedings of World Petroleum Congress, 1st Youth Forum / Committee (ur.).
Peking: Chinese National Committee for WPC, Published by Petroleum Industry Press & Beijing Kehai Electronic Press, 2004. str. 1054-1061 (poster, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
CROSBI ID: 159785 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Improvements in reservoir characterization applying geostatistical modelling (estimation & stochastic simulations vs. standard interpolation methods), Case study from Croatia
Autori
Smoljanović, Saša ; Malvić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
Proceedings of World Petroleum Congress, 1st Youth Forum
/ Committee - Peking : Chinese National Committee for WPC, Published by Petroleum Industry Press & Beijing Kehai Electronic Press, 2004, 1054-1061
Skup
1st Youth Forum of World Petroleum Congress
Mjesto i datum
Peking, Kina, 17.10.2004. - 20.10.2004
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Reservoir characterization; geostatistical modelling; Kriging; stochastic simulation
Sažetak
There are a lot of methods, which could be applied for mapping of different geological parameters. Some "classical" interpolation methods are today very often replaced with different geostatistic techniques that are believed to better characterization were performed on two ways. First, previous "deterministic" solution (Inverse Distance Weighting) was improved using Kriging, as interpolation simulations (Sequential Gaussian Simulation) were applied, where uncertainties in porosity distribution were described with 100 "random" realizations. Kriging was selected as interpolation method that theoretically provides the least estimation risk in values away from control points (wells). Same variograms were applied in Kriging as well as in conditional simulation, and results were not very different. Final results were represented with new ones OGIP (Original Gas In Place) values. Inverse Distance Weighting method yielded to OGIP of 19, 918, 304 m3. When IDW was replaced with Kriging OGIP was decreased on 17, 648, 378 m3. Using of stochastic simulations confirmed reserves decreasing and volumes were expressed in range from min. 16, 329, 468, with median 16, 538, 900 to max. 17, 113, 130 m3.
Izvorni jezik
Engleski
Znanstvena područja
Geologija
Napomena
ISBN 7-900394-87-7
POVEZANOST RADA
Projekti:
0195035
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Profili:
Tomislav Malvić
(autor)
