A multi-scale attribute fusion based on multi-wave seismic

Compared with the multi⁃wave seismic data acquisition and processing methods， the progress of multi⁃wave seismic data interpretation methods is relatively slow， which makes it difficult to demonstratethe superiority of multi⁃ wave seismic technology. Conventional seismic attribute extraction and analysis are mostly based on P-wave seismic data， without fully utilizing reservoir P-wave and S-wave information. Therefore， a multiscale attribute fusion technology is proposed to enhance the oil and gas sensitivity of multi⁃wave composite attributes. For an actual 2D seismic profile， firstly， a Gaussian pyramid is constructed to generate various composite attributes of different resolutions. Secondly， all attributes of different scales are fused to form an effective multi-scale enhanced attribute. Thirdly， by leveraging image superposition theory， different multi-scale enhanced attributes are mixed and superimposed， which can effectively highlight the reservoir development area and retain the differences between various attributes， thus better describing the oil and gas bearing properties of the sand body. The model test shows that for complex two⁃dimensional models with small differences between oil-bearing sandstone and surrounding rock， the multi-wave seismic fusion attribute based on RGB can detect reservoirs and identify the location of reflection interfaces. The actual data test shows that the proposed method can accurately distinguish the distribution of channel sand body in the target area. © 2024 Editorial office of Oil Geophysical Prospecting. All rights reserved.