TY - GEN
T1 - Accounting for lateral heterogeneity in a pseudo inverse operator of the extended born
AU - Alali, A.
AU - Alkhalifah, Tariq Ali
AU - Sun, Bingbing
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018/10/16
Y1 - 2018/10/16
N2 - Differential semblance optimization (DSO) is a popular method for the construction of a kinematically accurate velocity model for imaging applications. However, its gradient contains artifacts which affect the DSO performance. To resolve such a problem, a pseudo inverse operator under the assumption of laterally homogeneous background was used to generate the extended images for DSO. The laterally inhomogeneous version required extended images in the vertical offset direction, which is costly. We derive an extension of the approach to handle laterally inhomogeneous background media efficiently, and show that the term required for the laterally inhomogeneity treatment has a relatively small impact on the pseudo inverse operator for many cases.
AB - Differential semblance optimization (DSO) is a popular method for the construction of a kinematically accurate velocity model for imaging applications. However, its gradient contains artifacts which affect the DSO performance. To resolve such a problem, a pseudo inverse operator under the assumption of laterally homogeneous background was used to generate the extended images for DSO. The laterally inhomogeneous version required extended images in the vertical offset direction, which is costly. We derive an extension of the approach to handle laterally inhomogeneous background media efficiently, and show that the term required for the laterally inhomogeneity treatment has a relatively small impact on the pseudo inverse operator for many cases.
UR - http://hdl.handle.net/10754/663460
UR - http://www.earthdoc.org/publication/publicationdetails/?publication=92639
UR - http://www.scopus.com/inward/record.url?scp=85083937508&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.201801252
DO - 10.3997/2214-4609.201801252
M3 - Conference contribution
SN - 9789462822542
BT - 80th EAGE Conference and Exhibition 2018
PB - EAGE Publications BV
ER -