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Interpolation of Small Datasets in the Sandstone Hydrocarbon Reservoirs, Case Study of the Sava Depression, Croatia

1
Faculty of Mining, Geology and Petroleum Engineering, University of Zagreb; Pierottijeva 6, 10000 Zagreb, Croatia
2
INA Plc., Trg G. Szabe 1, 44310 Novska, Croatia
*
Author to whom correspondence should be addressed.
Geosciences 2019, 9(5), 201; https://doi.org/10.3390/geosciences9050201
Received: 26 February 2019 / Revised: 22 April 2019 / Accepted: 30 April 2019 / Published: 5 May 2019
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Abstract

The interpolation of small datasets is challenging problem regarding the selection of interpolation methods and type of datasets. Here, for such analysis, the analysed data was taken in two hydrocarbon fields (“A” and “B”), located in the western part of the Sava Depression (in Northern Croatia). The selected reservoirs “L” (in the “A” Field) and “K” (“B”) are of Lower Pontian (Upper Miocene) age and belong to the Kloštar-Ivanić Formation. Due to strong tectonics, there are numerous tectonic blocks, each sampled with only a few wells. We selected two variables for interpolation—reservoirs permeabilities and injected volumes of field water. The following interpolation methods are described, compared and applied: Nearest Neighbourhood, Natural Neighbour (for the first time in the Sava Depression) and Inverse Distance Weighting. The last one has been recommended as the most appropriate in this study. Also, the presented research can be repeated in similar clastic environments at the same level hydrocarbon of exploration. View Full-Text
Keywords: interpolation; permeability; injected water; Inverse Distance Weighting; Sava Depression; Miocene; Croatia interpolation; permeability; injected water; Inverse Distance Weighting; Sava Depression; Miocene; Croatia
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Malvić, T.; Ivšinović, J.; Velić, J.; Rajić, R. Interpolation of Small Datasets in the Sandstone Hydrocarbon Reservoirs, Case Study of the Sava Depression, Croatia. Geosciences 2019, 9, 201.

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