Type
Conference PaperAuthors
Zhang, S.Schuster, Gerard T.

KAUST Department
Center for Subsurface Imaging and Fluid ModelingEarth Science and Engineering Program
Environmental Science and Engineering Program
Physical Science and Engineering (PSE) Division
Date
2013-05-31Online Publication Date
2013-05-31Print Publication Date
2013Permanent link to this record
http://hdl.handle.net/10754/577113
Metadata
Show full item recordAbstract
This paper inverts space-lags in the suboffset-domain CIGs instead of time-lags for velocity estimate. As a reminder, the conventional DSO is an image-domain method for wave-equation tomography, where the essence of this method is to focus the image at zero suboffset and minimize the image at nonzero suboffset. At each iteration, the velocity model is updated by smearing the image on the nonzero sub- offset along wavepath. The space-lag is used as a penalty operator which annihilates the image energy at nonzero lags, where this space-lag is independent of the velocity model. This new method, denoted as generalized DSO, treats the space-lag as a function of velocity model. It is an extension of the conventional DSO except it updates the velocity model not only by smearing the image on the nonzero suboffset as in conventional DSO but also by smearing the nonzero suboffset along the wavepath. The former minimizes the image in the nonzero suboffset and the latter minimizes the nonzero suboffset of the image. Both methods aim to focus the image energy at zero suboffset. The mathematical derivation and numerical examples are presented to demonstrate its effectiveness in velocity inversion.Citation
Zhang, S., & Schuster, G. (2013). Generalized Differential Semblance Optimization. London 2013, 75th Eage Conference En Exhibition Incorporating SPE Europec. doi:10.3997/2214-4609.20130374Publisher
EAGE PublicationsISBN
9781629937915ae974a485f413a2113503eed53cd6c53
10.3997/2214-4609.20130374