Master Thesis Seismic Attributes Analysis to Enhance 3-D Seismic Data Interpretation of Upper Cretaceous Succession in Bualwan, Dor Mansour Fields,Western Sirt Basin, Libya

Abstract

The generation of seismic attributes has enabled to better interpret certain geologic features. Analysis was on attributes computed from 3D seismic data of Bualwan, Dor Mansour oil fields, with support from well logs. The ultimate goal in this multiattribute analysis is to produce a more accurate interpretation. The integration of the attributes has increased confidence in the seismic mapping horizons of Upper Cretaceous succession with their fault polygon, modeled, automatic fault techniques, fault patches, 3D structural grids and the other numerous subtle lineaments, which were difficult to identify in the input data. Seismic attributes like Variance seem to be very suitable for defining structural elements. Chaos attribute highlights areas where the seismic shows large variation in the locally estimated dip and azimuth. Structural smoothing is to reduce the noise and enhance quality. Ant tracking is applied on the Chaos and structural smoothing volume attribute to search of high energy surfaces (fault planes). 3DEE (3D edge enhancement) helped to increase number of faults manually detected and enhance their resolution