f Spectral Decomposition and Attribute Analysis of Gharif Formation, North Oman

The aim of this study is to map sand distributions and faults within Upper Gharif by extracting attributes using the seismic, acoustic impedance, spectral decomposition and RGB blend. Sand distributions and faults within Upper Gharif are mapped by extracting attributes. In this study attributes were extracted using spectral decomposition, RGB blending and acoustic impedance volumes to distinguish between sands and shales. First using spectral decomposition in which the seismic trace is decomposed into mono-frequencies in order to observe the amplitudes related to each frequency in the seismic. Using Trap Search Engine attributes of mono-frequencies are generated and compared with the well data. In addition using RGB blend, best mono-frequency volumes, based on sand thickness and well calibrations, are combined for better analysis.