MIGRATION ERROR IN TRANSVERSELY ISOTROPIC MEDIA WITH LINEAR VELOCITY VARIATION IN-DEPTH

Citation
Kl. Larner et Jk. Cohen, MIGRATION ERROR IN TRANSVERSELY ISOTROPIC MEDIA WITH LINEAR VELOCITY VARIATION IN-DEPTH, Geophysics, 58(10), 1993, pp. 1454-1467
Citations number
18
Categorie Soggetti
Geosciences, Interdisciplinary
Journal title
ISSN journal
00168033
Volume
58
Issue
10
Year of publication
1993
Pages
1454 - 1467
Database
ISI
SICI code
0016-8033(1993)58:10<1454:MEITIM>2.0.ZU;2-T
Abstract
Given the sensitivity of imaging accuracy to the velocity used in migr ation, migration founded (as in practice) on the erroneous assumption that a medium is isotropic can be expected to be inaccurate for steep reflectors. Here, we estimate errors in interpreted reflection time an d lateral position as a function of reflector dip for transversely iso tropic models in which the axis of symmetry is vertical and the medium velocity varies linearly with depth. We limit consideration to media in which ratios of the various elastic moduli are independent of depth . Tests with reflector dips up to 120 degrees on a variety of anisotro pic media show errors that are tens of wavelengths for dips beyond 90 degrees when the medium (unrealistically) is homogeneous. For a given anisotropy, the errors are smaller for inhomogeneous media; the larger the velocity gradient, the smaller the errors. For gradients that are representative of the subsurface, lateral-position errors tend to be minor for dips less than about 60 degrees, growing to two to five wave lengths as dip passes beyond 90 degrees. These errors depend on reflec tor depth and average velocity to the reflector only through their rat io, i.e., migrated reflection time. Migration error, which is found to be unrelated to the ratio of horizontal to vertical velocity, is such that reflections with later migrated reflection times tend to be more severely overmigrated than are those with earlier times. Over a large range of dips, migration errors that arise when anisotropy is ignored but inhomogeneity is honored tend to be considerably smaller than tho se encountered when inhomogeneity is ignored in migrating data from is otropic, inhomogeneous media.