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
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 var...
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| Format: | Article |
| Language: | English |
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Faculty of Mining, Geology and Petroleum Engineering
2017-01-01
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| Series: | Rudarsko-geološko-naftni Zbornik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/271089 |
| _version_ | 1797207802944421888 |
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| author | Kristina Novak-Zelenika |
| author_facet | Kristina Novak-Zelenika |
| author_sort | Kristina Novak-Zelenika |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:28:42Z |
| format | Article |
| id | doaj.art-50889c1b096f446fa5624077892654e5 |
| institution | Directory Open Access Journal |
| issn | 0353-4529 1849-0409 |
| language | English |
| last_indexed | 2024-04-24T09:28:42Z |
| publishDate | 2017-01-01 |
| publisher | Faculty of Mining, Geology and Petroleum Engineering |
| record_format | Article |
| series | Rudarsko-geološko-naftni Zbornik |
| spelling | doaj.art-50889c1b096f446fa5624077892654e52024-04-15T14:15:15ZengFaculty of Mining, Geology and Petroleum EngineeringRudarsko-geološko-naftni Zbornik0353-45291849-04092017-01-01323455210.17794/rgn.2017.3.5THEORY OF DETERMINISTICAL AND STOCHASTICAL INDICATOR MAPPING METHODS AND THEIR APPLICATIONS IN RESERVOIR CHARACTERIZATION, CASE STUDY OF THE UPPER MIOCENE RESERVOIR IN THE SAVA DEPRESSIONKristina Novak-Zelenika0INA-Industry of Oil Plc., Av. V. Holjevca 10, Zagreb, Croatia; Reservoir Modelling expert, DscThe 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.https://hrcak.srce.hr/file/271089Indicator mappingprobability mapsIndicator KrigingSequential Indicator SimulationsSava DepressionCroatia |
| spellingShingle | Kristina Novak-Zelenika 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 Rudarsko-geološko-naftni Zbornik Indicator mapping probability maps Indicator Kriging Sequential Indicator Simulations Sava Depression Croatia |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Indicator mapping probability maps Indicator Kriging Sequential Indicator Simulations Sava Depression Croatia |
| url | https://hrcak.srce.hr/file/271089 |
| work_keys_str_mv | AT kristinanovakzelenika theoryofdeterministicalandstochasticalindicatormappingmethodsandtheirapplicationsinreservoircharacterizationcasestudyoftheuppermiocenereservoirinthesavadepression |