Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes

Seismic attributes are useful tools for identifying and characterizing geological properties. Seismic interpretation can be supported by seismic attribute analysis. Common seismic attributes use mathematical relationships, based on the geometry and the physical properties of the subsurface to reveal features of interest. Some key seismic attributes that can be used in the identification of channels are textural attributes, based on the Grey Level Co-occurrence Matrix (GLCM), a 2D matrix representing the amplitude values of the reference pixel versus the amplitudes of the neighboring pixels. Using the information gathered from the texture attributes, entities such as channels can be identified with ease and the Earth's structural information can be determined directly. In this paper, applications and practices of the textural attributes based on the GLCM method are shown in detecting and revealing channels in the structure of the Sarvak formation oil field in south-west Iran.