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Pregled bibliografske jedinice broj: 889102

Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression


Novak Zelenika, Kristina; Vidaček, Renata; Ilijaš, Tomislav; Pavić, Petar
Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression // Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 70 (2017), 2; 105-114 doi:10.4154/gc.2017.10 (recenziran, članak, stručni)


CROSBI ID: 889102 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression

Autori
Novak Zelenika, Kristina ; Vidaček, Renata ; Ilijaš, Tomislav ; Pavić, Petar

Izvornik
Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society (1330-030X) 70 (2017), 2; 105-114

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, stručni

Ključne riječi
Geostatistics, Ordinary Kriging, Sequential Gaussian Simulations, hydrocarbon reservoirs, Sava Depression

Sažetak
Deterministic methods are still widely used for reservoir characterization and modelling. The result of such methods is only one solution. It is clear that our knowledge about the subsurface is uncertain. Since stochastic methods include uncertainty in their calculations and offer more than one solution sometimes they are the best method to use. This paper shows testing of the deterministic (Ordinary Kriging) and stochastic (Sequential Gaussian Simulations) methods of reservoir properties distribution in the Lower Pontian hydrocarbon reservoirs of the Sava Depression. Reservoirs are gas- and oil-prone sandstones. Ten realizations were obtained by Sequential Gaussian Simulation, which are sufficient for defining locations with the highest uncertainties of distributed geological variables. The results obtained were acceptable and areas with the highest uncertainties were clearly observed on the maps. However, high differences of reservoir property values in neighbouring cells caused the numerical simulation duration to be too long. For this reason, Ordinary Kriging as a deterministic method was used for modelling the same reservoirs. Smooth transitions between neighbouring cells eliminated the simulation duration problems and Ordinary Kriging maps showed channel sandstone with transitional lithofacies in some reservoirs.

Izvorni jezik
Engleski

Znanstvena područja
Geologija



POVEZANOST RADA


Ustanove:
INA-Industrija nafte d.d.

Profili:

Avatar Url Kristina Novak Zelenika (autor)

Avatar Url Petar Pavić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Novak Zelenika, Kristina; Vidaček, Renata; Ilijaš, Tomislav; Pavić, Petar
Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression // Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 70 (2017), 2; 105-114 doi:10.4154/gc.2017.10 (recenziran, članak, stručni)
Novak Zelenika, K., Vidaček, R., Ilijaš, T. & Pavić, P. (2017) Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression. Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society, 70 (2), 105-114 doi:10.4154/gc.2017.10.
@article{article, author = {Novak Zelenika, Kristina and Vida\v{c}ek, Renata and Ilija\v{s}, Tomislav and Pavi\'{c}, Petar}, year = {2017}, pages = {105-114}, DOI = {10.4154/gc.2017.10}, keywords = {Geostatistics, Ordinary Kriging, Sequential Gaussian Simulations, hydrocarbon reservoirs, Sava Depression}, journal = {Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society}, doi = {10.4154/gc.2017.10}, volume = {70}, number = {2}, issn = {1330-030X}, title = {Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression}, keyword = {Geostatistics, Ordinary Kriging, Sequential Gaussian Simulations, hydrocarbon reservoirs, Sava Depression} }
@article{article, author = {Novak Zelenika, Kristina and Vida\v{c}ek, Renata and Ilija\v{s}, Tomislav and Pavi\'{c}, Petar}, year = {2017}, pages = {105-114}, DOI = {10.4154/gc.2017.10}, keywords = {Geostatistics, Ordinary Kriging, Sequential Gaussian Simulations, hydrocarbon reservoirs, Sava Depression}, journal = {Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society}, doi = {10.4154/gc.2017.10}, volume = {70}, number = {2}, issn = {1330-030X}, title = {Application the of deterministic and stochastic geostatistical methods in petrophysical modelling - a case study of Upper Pannonian reservoir in Sava Depression}, keyword = {Geostatistics, Ordinary Kriging, Sequential Gaussian Simulations, hydrocarbon reservoirs, Sava Depression} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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