Naslov
Application of Artificial Neural Networks on Well Log Data for Lithofacies Mapping of Pliocene, Pleistocene and Holocene sediments Sediments in Sava Depression, Pannonian Basin, Croatia
(Application of Artificial Neural Networks on Well Log Data for Sediments in Sava Depression, Pannonian Basin, Croatia Lithofacies Mapping of Pliocene, Pleistocene and Holocene)

Autori
Cvetković, Marko ; Velić, Josipa ; Malvić, Tomislav

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
XI th International Conference on Geoinformatics - Theoretical and Applied Aspects 14-17 May 2012, Kiev, Ukraine - GEOINFORMATICS 2012 / - Kijev : European Association of Geoscientists and Engineers (EAGE), 2012, 1-5

Skup
XI th International Conference on Geoinformatics - Theoretical and Applied Aspects 14-17 May 2012, Kiev, Ukraine

Mjesto i datum
Kijev, Ukrajina, 14.05.2012. - 17.05.2012

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Neural networks; lithofacies mapping; Sava Depression; Croatia

Sažetak
Successful artificial neural network analyses of the lithology data – prediction of either sandstones or shale were obtained. These were performed in the youngest (Pliocene, Pleistocene and Holocene) sediments in Sava Depression, Croatian part of the Pannonian Basin, and the input data was based on well log curves (spontaneous potential, shallow and deep resistivity curves). These analyses were successfully preformed in 20 wells of which in two, the training and validation of the networks was made. Such obtained lithology data was used for the construction of lithofacies maps which clearly show the distribution of the overall thickness of sandstone bodies and their number. Palaeotransport directions and areas with thicker sandstone interval for possible gas accumulations can also be observed in the constructed maps. The main influx of sediment was from the NE trough a channel which coincides with recent structural low defined by the absence of Pliocene outcrops while the thickest sandstone intervals can be delimited to the SW part of the mapping area.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Geologija

POVEZANOST RADA