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Stručni rad

https://doi.org/10.17794/rgn.2017.3.5

THEORY OF DETERMINISTICAL AND STOCHASTICAL INDICATOR MAPPING METHODS AND THEIR APPLICATIONS IN RESERVOIR CHARACTERIZATION, CASE STUDY OF THE UPPER MIOCENE RESERVOIR IN THE SAVA DEPRESSION

Kristina Novak-Zelenika ; INA-Industry of Oil Plc., Av. V. Holjevca 10, Zagreb, Croatia; Reservoir Modelling expert, Dsc


Puni tekst: hrvatski pdf 709 Kb

str. 53-53

preuzimanja: 386

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Puni tekst: engleski pdf 715 Kb

str. 45-52

preuzimanja: 578

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Sažetak

The paper describes indicator based geostatistical methods (Indicator Kriging and Sequential Indicator Simulations),mostly used for facies mapping or facies modeling. Although it is assumed that in facies modelling variables should be descrete, it is possible to apply these methods on continuous variables as well. Continuous variables such as porosity can very well describe lithofacies. Methodology includes series of cut-offs. Indicator Kriging maps show probability of certain lithofacies appearing in some location. On the other hand, stochastical realizations provide different number of solutions for the same input data set. Those solutions can be very similar, but never identical. It is important to emphasize that all obtained solutions or results are equally probable. Results of Sequential Indicator Simulations are also probability maps. There are several advantages for Indicator based methods. They do not need normality for the input dataset, they can be implemented in case of bimodal distribution, and they can show connectivity of the largest or smallest values.

Ključne riječi

Indicator mapping; probability maps; Indicator Kriging; Sequential Indicator Simulations; Sava Depression; Croatia

Hrčak ID:

183876

URI

https://hrcak.srce.hr/183876

Datum izdavanja:

15.7.2017.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.757 *