1887

Abstract

P037 Automatic Dense High Order RMO Picking R. Siliqi* (CGGVeritas) P. Herrmann (CGGVeritas) A. Prescott (CGGVeritas) & L. Capar (CGGVeritas) SUMMARY The semblance based automatic dense pickings of Residual Move Out curves (RMO) proved to be a very efficient technique but they are generally limited to the estimation of their curvature. The estimation of the misfocusing of the migrated seismic reflection is routinely done during the prestack imaging process but the anisotropy is not fully resolved using only the RMO curvature. So we are turning to the multiparameter scan thus gaining the benefit of uncorrelated scanning parameters which fully describes

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201401752
2007-06-11
2024-03-28
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201401752
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error