Angle‐domain common‐image gathers in reverse‐time migration by combining the Poynting vector with local‐wavefield decomposition

ABSTRACT Angle‐domain common‐image gathers are an important tool in the post‐processing of seismic images and for reservoir characterization. The generation of angle gathers is a very important issue when dealing with angle‐domain images. Efficiency and robustness are the main concerns in the generation of angle gathers. In this paper, we propose two methods for producing angle gathers based on the implementation of a reverse‐time migration. In the hybrid method, we adopt the local‐plane‐wave decomposition method to extract the local plane waves and obtain two possible opposite propagation directions in the time‐wavenumber domain. Then, Poynting vectors are used to determine the correct propagation direction. The hybrid method achieves a satisfactory balance between robustness and computational efficiency. Furthermore, in the improved hybrid method, additional computational acceleration is obtained by separating the overlapping and non‐overlapping wavefield areas. The hybrid method is only applied in these areas with overlapping wave fronts, and the Poynting‐vector‐based method is adopted in the other areas. The location of the overlapping events is determined using the eigenvalues of the structural tensor. Finally, the two‐dimensional synthetic and field examples demonstrate the effectiveness of both methods.

[1]  Jia Yan,et al.  Reverse time migration angle gathers using Poynting vectors , 2016 .

[2]  G. McMechan,et al.  Common-image gathers in the incident phase-angle domain from reverse time migration in 2D elastic VTI media , 2011 .

[3]  G. McMechan,et al.  Comparison of methods for extracting ADCIGs from RTM , 2014 .

[4]  Paul Sava,et al.  Time-shift imaging condition in seismic migration , 2006 .

[5]  Norman Bleistein,et al.  Migration velocity analysis; theory and an iterative algorithm , 1995 .

[6]  Yu Zhang,et al.  Antileakage Fourier transform for seismic data regularization , 2005 .

[7]  Jiangtao Hu,et al.  Angle gathers from reverse time migration using analytic wavefield propagation and decomposition in the time domain , 2016 .

[8]  George A. McMechan,et al.  Removing smearing-effect artifacts in angle-domain common-image gathers from reverse time migration , 2015 .

[9]  W. Symes,et al.  Angle‐domain common‐image gathers for migration velocity analysis by wavefield‐continuation imaging , 2004 .

[10]  Yu Zhang,et al.  3D angle gathers from reverse time migrationXu et al.RTM 3D angle gathers , 2011 .

[11]  Rui Yan,et al.  An angle-domain imaging condition for elastic reverse time migration and its application to angle gather extraction , 2012 .

[12]  Thomas Brox,et al.  Nonlinear structure tensors , 2006, Image Vis. Comput..

[13]  Yu Zhang,et al.  3D angle gathers with plane-wave reverse-time migration , 2013 .

[14]  Kurt J. Marfurt,et al.  Reverse-Time Migration using the Poynting Vector , 2006 .

[15]  George A. McMechan,et al.  Direct vector-field method to obtain angle-domain common-image gathers from isotropic acoustic and elastic reverse time migration , 2011 .

[16]  George A. McMechan,et al.  Improving input/output performance in 2D and 3D angle-domain common-image gathers from reverse time migration , 2015 .

[17]  G. Fehmers,et al.  Fast structural interpretation with structure-oriented filteringStructure-Oriented Filtering , 2003 .

[18]  Paul Sava,et al.  Angle-domain common-image gathers by wavefield continuation methods , 2003 .