Representations for the Marchenko Method for imperfectly sampled data

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Abstract

The Marchenko method is based on two integral representations for focusing functions and Green’s functions. In practice the integrals are replaced by finite summations. This works well for regularly sampled data, but the quality of the results degrades in case of imperfect sampling. We reformulate the integral representations into summation representations which properly account for imperfectly sampled data and we illustrate these representations with numerical examples. We indicate how these representations may be used to modify the Marchenko method to account for imperfect sampling.
Original languageEnglish
Title of host publicationSEG Technical Program Expanded Abstracts
PublisherSEG
Pages4545-4549
Number of pages5
DOIs
Publication statusPublished - 2019
EventSEG International Exposition and Annual Meeting 2019 - San Antonio, United States
Duration: 15 Sep 201920 Sep 2019

Conference

ConferenceSEG International Exposition and Annual Meeting 2019
Abbreviated titleSEG 2019
CountryUnited States
Period15/09/1920/09/19

Bibliographical note

Accepted Author Manuscript

Keywords

  • internal multiples
  • interferometry
  • sampling

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