Accounting for seismic radiation anisotropy in Bayesian survey designs

Translated title of the contribution: Accounting for seismic radiation anisotropy in Bayesian survey designs
  • Mohamed R. Khodja*
  • , Michael D. Prange
  • , Hugues A. Djikpesse
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

The seismic radiation patterns associated with probing the earth’s subsurface are essentially anisotropic due to its ubiquitous stratified structure. This anisotropy seriously complicates formation imaging and data acquisition. This is most salient for deep-water subsalt reservoirs. Traditionally, point scatterers with isotropic radiation patterns are used in migration imaging, but in the survey design problem, these might lead to design errors caused by receivers being placed in poor locations with respect to the radiation pattern of the scattering structure. Here, we extend a framework which accounts for anisotropy in the scattered radiation for optimal geophysical survey design purposes. The propagation medium is assumed to be attenuative. The locally dipping interfaces are modeled as a discrete set of finite-size planar scattering elements. The general elastodynamic expressions for the sensitivity kernels, i.e., the vectors which mathematically represent the candidate observations, in the presence of the scattering elements are provided. The size of each element controls the width of its radiation pattern, which may in turn be used to characterize the uncertainty on the dip angle, thus complementing the information provided by the model-parameter uncertainties and ultimately leading to better geophysical survey designs.

Translated title of the contributionAccounting for seismic radiation anisotropy in Bayesian survey designs
Original languageEnglish
Pages (from-to)79-99
Number of pages21
JournalGeofizika
Volume33
Issue number1
DOIs
StatePublished - 26 Jul 2016

Bibliographical note

Publisher Copyright:
© 2016, Geofizicki Zavod. All rights reserved.

Keywords

  • Anisotropic radiation
  • Bayesian optimal experimental design
  • Dipping scatterers
  • Layered media
  • Model covariance matrix

ASJC Scopus subject areas

  • Geophysics

Fingerprint

Dive into the research topics of 'Accounting for seismic radiation anisotropy in Bayesian survey designs'. Together they form a unique fingerprint.

Cite this