3‐D Pre‐Stack Depth Migration by Radon Projection

Abstract

The main aim of seismic data processing is to correctly image subsurface structures. In most cases, the seismic lines for data acquisition may not necessarily be normal or parallel to structural trends. A new imaging method, Radon projection 3‐D pre‐stack depth migration, is presented to solve this problem, which extends the 3‐D migration by Radon projection to pre‐stack imaging. The full 3‐D pre‐stack data volume is projected onto a series of pre‐stack radial lines, which are migrated with common 2‐D pre‐stack depth migration. Then, the reverse projection on depth slice is applied to obtain the 3‐D migrated volume. Application of this new technique to a field dataset in the Tarim Basin shows improved horizontal resolution of the imaging section. Unconformity and some other small faults on the top of the anticline can clearly be seen on the image which greatly enhance seismic interpretation.

Anisotropic Radon Transform and Its Application to Demultiple

“…Radon transform is widely used in a range of applications in seismic data processing, such as multiple attenuation (Wang, 2003;Schonewille and Aaron, 2007;Xiong et al, 2009), de-noise (Gong et al, 2009), wavefield separation (Zeng et al, 2007;Feng et al, 2011), data interpolation and reconstruction (Wang et al, 2006;Wang et al, 2007), velocity dispersion analysis (Pan et al, 2010), migration and imaging (Huang et al, 2004), etc. According to the characteristics of the research problem, Radon transform based on the integration method has several flexible and diverse forms of transform, such as linear Radon transform (τ -p transform), parabolic Radon transform, hyperbolic Radon transform and polynomial Radon transform (Niu and Sun, 2001).…”