Naslov
Characterization of clastic sedimentary environments by clustering algortithm and several statistical approaches, case study Sava Depression in Northern Croatia

Autori
Horvath, Janina ; Malvić, Tomislav

Izvornik
Central European geology (1788-2281) 56 (2013), 4; 281-296

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
unsupervised neural networks; clustering; non-parametric statistics; autocovariance; recognition of sub-environments; Upper Miocene; sandstones; Sava Depression

Sažetak
This study demonstrates a method to identification and characterization of facies from turbiditic depositional environments. After that this clastic sedimentary environments was taken in comprehensive analogue system according to the characterization. The study area is a hydrocarbon field in the Sava Depression (Northern Croatia), which Upper Miocene reservoirs represent lacustrine turbidity system. In the workflow, first an unsupervised neural network was applied as clustering method for two sandstone reservoirs. The classification used basic petrophysical parameters. In the second step the spatial display of developed clusters was assessed by autocovariance which revealed the hidden anisotropy. This anisotropy supported to identify the main continuity directions in the geometrical analyses of sandstone bodies. Finally in description of clusters several parametric and non-parametric statistics were used to descript the identified facies. Obtained results confirmed previously published interpretation of those reservoir facies.

Izvorni jezik
Engleski

Znanstvena područja
Geologija

Napomena
Elsevier Geo Abstracts, SCOPUS, Referativnyi Zhurnal, Zoological Abstracts Attached are galley proofs pages (2013, vol. 56, no. 4., 16 p.). Final paper is available on given journal link. According to part III. of copyright transfer form, i.e. the following statements: "The Author is entitled, however, to self-archive the preprint version of his/her manuscript. The preprint version is the Author’s manuscript or the galley proof or the Author’s manuscript along with the corrections made in the course of the peer review process. The Author’s right to self-archive is irrespective of the format of the preprint (.doc, .tex., .pdf) version and self-archiving includes the free circulation of this file via e-mail or publication of this preprint on the Author’s webpage or on the Author’s institutional repository with open or restricted access. When self-archiving a paper the Author should clearly declare that the archived file is not the final published version of the paper, he/she should quote the correct citation and enclose a link to the published paper (http://dx.doi.org/[DOI of the Article without brackets]).", here is attached the galley proof and indicated web site of journal as well as DOI of paper.

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