TEXTURE ATTRIBUTE ANALYSIS BASED on STRONG BACKGROUND INTERFERENCE SUPPRESSION

Seismic texture attributes are closely related to seismic facies and reservoir characteristics. However, when a strong reflection interface overlying or underlying one target layer exists, their seismic response will mask the seismic response of the target layer. In this case, it is difficult to use texture attributes to identify geologic structures and reservoirs in the target layer. We propose a novel method to analyze texture attributes based on suppressing strong background reflection interference. Firstly, we utilize the difference between the seismic response of the lateral heterogeneous reservoir and the underlying or overlying strong reflection. Secondly, we use morphological component analysis (MCA) to separate the post-stack dataset into two parts: the seismic response of the target lateral heterogeneous reservoir (e.g., a channel sand body) with a small spatial distribution and the underlying or overlying strong reflection interference (e.g., the seismic response of the stable sedimentary stratum) with a wide spatial distribution. Then we apply the texture attribute analyzing algorithm based on the voxel co-occurrence matrix (VCM) to the seismic response of the target lateral heterogeneous reservoir for identifying covered structures and characterize the reservoir. Finally, we apply the proposed method to one two-dimensional synthetic dataset and one three-dimensional real field dataset to evaluate the effectiveness of our method. The results of texture attribute analysis show that our method provides more detailed structural characterization and useful information.