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Pregled bibliografske jedinice broj: 159785

Improvements in reservoir characterization applying geostatistical modelling (estimation & stochastic simulations vs. standard interpolation methods), Case study from Croatia


Smoljanović, Saša; Malvić, Tomislav
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, Kina: 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)


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, Kina : 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.-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


Projekt / tema
0195035

Ustanove
Rudarsko-geološko-naftni fakultet, Zagreb

Profili:

Avatar Url Tomislav Malvić (autor)

Citiraj ovu publikaciju

Smoljanović, Saša; Malvić, Tomislav
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, Kina: 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)
Smoljanović, S. & Malvić, T. (2004) Improvements in reservoir characterization applying geostatistical modelling (estimation & stochastic simulations vs. standard interpolation methods), Case study from Croatia. U: Committee (ur.)Proceedings of World Petroleum Congress, 1st Youth Forum.
@article{article, year = {2004}, pages = {1054-1061}, keywords = {Reservoir characterization, geostatistical modelling, Kriging, stochastic simulation}, title = {Improvements in reservoir characterization applying geostatistical modelling (estimation and stochastic simulations vs. standard interpolation methods), Case study from Croatia}, keyword = {Reservoir characterization, geostatistical modelling, Kriging, stochastic simulation}, publisher = {Chinese National Committee for WPC, Published by Petroleum Industry Press and Beijing Kehai Electronic Press}, publisherplace = {Peking, Kina} }