1887

Abstract

This paper shows how the artefacts present in the gradient of the cost function when performing a Migration Velocity Analysis can be strongly attenuated by using a second-order Gauss-Newton scheme. The artefacts on the velocity gradient are strongly attenuated when the total gradient is deconvolved by the approximate total Hessian. At each iteration, a least-squares migration is produced rather than a migration. The proposed algorithm is illustrated on the Marmousi dataset.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201701718
2017-06-12
2020-09-20
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201701718
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