Naslov
Application of neural networks in petroleum reservoir lithology and saturation prediction

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

Izvornik
Geologia Croatica : journal of the Croatian Geological Survey and the Croatian Geological Society (1330-030X) 62/2 (2009); 115-121

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

Ključne riječi
Kloštar fi eld; neural network; prediction; sandstone; hydrocarbon saturation; Croatia

Sažetak
The Kloštar oil fi eld is situated in the northern part of the Sava Depression within the Croatian part of the Pannonian Basin. The major petroleum reserves are confi ned to Miocene sandstones that comprise two production units: the Lower Pontian I sandstone series and the Upper Pannonian II sandstone series. We used well logs from two wells through these sandstones as input data in the neural network analysis, and used spontaneous potential and resistivity logs (R16 and R64) as the input in network training. The fi rst analysis included prediction of lithology, which was defi ned as either sandstone or marl. These two rock types were assigned categorical values of 1 or 0 which were then used in numerical analysis. The neural network was also used to predict hydrocarbon saturation in selected wells. The input dataset was extended to depth and categorical lithology. The prediction results were excellent, because the training and prediction dataset showed little disagreement between the true and predicted values. At present, this study represents the best and most useful application of neural networks in the Croatian part of the Pannonian Basin.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Geologija

POVEZANOST RADA