Enabling nonlinear, elastic imaging using multicomponent seismic data is a key step in moving towards 'true-amplitude' imaging of the subsurface. Nonlinearity here refers both to the fact that even single-scattering interactions are in reality nonlinear (often ignored in Born-scattering migration methods), and to the nonlinearity introduced by the multiple interactions of reverberating waves with the structure to be imaged. Multiples are usually considered as noise in traditional linear imaging methods, and the nonlinearities of individual scattering events are simply ignored. We derive two new, nonlinear elastic imaging conditions based on reciprocity theory that are suitable for reverse-time imaging of land and marine ocean-bottom data. A synthetic example shows that these outperform the best existing elastic imaging conditions, highlighting the importance of handling interactions between multiply scattered and converted waves properly. Focusing such energy in the new methods better illuminates the target and reduces imaging artifacts.


Article metrics loading...

Loading full text...

Full text 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