|
<< Click to Display Table of Contents >> Navigation: Regularization > Regularization 3D - midpoint consistent - real to virtual |
Geometry regularization using Virtual geometry
![]()
![]()
Regularization in 3D seismic processing reorganizes irregularly sampled field data into a uniformly spaced 3D grid (inline, crossline, and time/depth). This ensures data compatibility with processing algorithms (e.g., migration, inversion) that assume regular sampling. Midpoint consistency ensures that traces sharing the same midpoint (midway between source and receiver) are grouped and interpolated spatially and azimuthally without bias.
In this scheme, real coordinate system geometry is regularized by user defined offset and azimuth combinations virtual geometry by using either real (Cartesian) or Polar coordinate system.
![]()
![]()
![]()
![]()
Real - it creates the regularization as per the input data or real world coordinate (Cartesian coordinate) system.
Polar - creates the regularization based on the polar coordinate systems
![]()
![]()
![]()
![]()
![]()
![]()
In this example workflow, regularization of the input data is carried out by using real to virtual regularization scheme.



![]()
![]()
![]()
![]()
YouTube video lesson, click here to open [VIDEO IN PROCESS...]
![]()
![]()
Yilmaz. O., 1987, Seismic data processing: Society of Exploration Geophysicist
* * * If you have any questions, please send an e-mail to: support@geomage.com * * *