Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 26 February 2019 / Approved: 28 February 2019 / Online: 28 February 2019 (06:54:38 CET)

A peer-reviewed article of this Preprint also exists.

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. 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.

Journal reference: Geosciences 2019, 9, 201
DOI: 10.3390/geosciences9050201

Abstract

Here are analysed data taken in two hydrocarbon fields ("A" and "B"), located in the western part of Sava Depression (North Croatia). They are in the secondary phase of production. The selected reservoirs "L" (in the “A” Field) and "K" (“B”) are of the Lower Pontian (Upper Miocene) age and belong to Kloštar-Ivanić Formation. Due to strong tectonics, there are numerous tectonic block, relatively rarely sampled with well and laboratory tests. Here are selected two variables for interpolation - reservoirs permeabilities and the injected volumes of field water. The following interpolation methods are described, compared and applied: Nearest Neighbourhood, Natural Neighbour (the first time in the Sava Depression) and Inverse Distance Weighting. The last one has been proven as the most appropriate for datasets with size lower than 20 points.

Subject Areas

interpolation; permeability; injected water; inverse distance weighting; sava depression; miocene; Croatia

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