The Tambaredjo field is the largest oil field in Suriname. Since 1982 the state oil company, Staatsolie Maatschappij Suriname N.V., has been extracting oil from the Palaeocene reservoir sands. More recently there has been a growing interest in the Cretaceous interval below the reservoir sands. However, not much data is available from this interval. With this study an attempt is made to utilize seismic attributes from a 3-D seismic survey for identifying geological features of interest and predicting lithofacies and their distribution within the Upper Cretaceous below a part of the Tambaredjo oilfield. The approach of this attribute analysis was deterministic. Before extraction of the attributes a literature study was conducted in order to find and select appropriate seismic attributes. These attributes were the calculated in an interval marked by two seismic horizons, the Top of the Cretaceous and second horizon lying 60 ms (two-way-travel time) below the Top of the Cretaceous. Within this interval, flattened (expected) chronostratigraphic slices were created using a Horizon Cube and the Wheeler transform. The calculated attributes were then displayed and analysed along these flattened slices. The analysis of the attributes resulted in the identification of interesting geological features such as channels, which may contain potential reservoir sands. Furthermore using a selection of attributes, a segmentation analysis based on neural networks has been applied. This resulted in clustered areas of comparable seismic responses, which could indicate the distribution of different lithofacies or lithologies.