Detection of Reservoir Fractures Using Curvature Attribute, and Comparison with Similarity Attribute

Abstract

Nowadays, various methods are used for identification of reservoir fractures. Seismic curvature attributes are a group of attributes that can measure the curvature of surface and detect the faults and fractures on that surface. These attributes can be estimated on a definite horizon or in a volume of seismic data. In this paper, the ability of these attributes in fractures detection in one of Iranian south reservoirs by carrying out these attributes on a seismic horizon is studied. Then, the results obtained from curvature attributes are compared with similarity attribute. The results of this study show that curvature attributes such as most positive and most negative curvature can detect fractures on a seismic horizon. In addition, there is a high correlation between curvature and similarity attributes results.