Skip to the main content

Original scientific paper

Identification of palaeoenvironments using clustering methods and indicator kriging, case study from Late Miocene sandstones, the Sava depression

Janina Horváth ; University of Szeged, Department of Geology and Paleontology, Szeged, Hungary
Kristina Novak Zelenika ; INA-Naftaplin, Sector for Geology and Reservoir Management, Zagreb, Croatia


Full text: croatian pdf 99 Kb

page 377-381

downloads: 360

cite

Full text: english pdf 2.493 Kb

page 364-376

downloads: 452

cite


Abstract

The clustering and Indicator Kriging methods are standard exploration tools in some kind of geological problems and here is presented a case study for the identification of depositional environments using two kinds of clustering processes and the Indicator Kriging. The clustering is based on Kohonen's neural network and hierarchical agglomerative clustering. Through the resulting clusters, the geometry of depositional sub-environment can be visualised by spatial mapping processes and it can be interpreted by the probabilities of clusters through the Indicator Kriging. In this manner the clustering tools can be defined as a spatial pattern recognition method. The research area in the demonstrated study is located in the Sava Depression, Croatia. The field sediments belong to Neogene and Quaternary, and the analysed are Upper Pannonian when sedimentation was accompanied by influence of pre-Neogene basement palaeorelief and the accumulation by turbidity system.

Keywords

clustering; palaeoenvironment; Kohonen's neural network; hierarchical agglomerative clustering; Indicator Kriging; Sava Depression; Croatia

Hrčak ID:

75937

URI

https://hrcak.srce.hr/75937

Publication date:

30.12.2011.

Article data in other languages: croatian

Visits: 1.433 *