F-xy domain 2D mathematical morphological filtering for Seismic data interpolation

W. Huang, R. Wang, M. Zhang, H. Li*, Y. Zhou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Seismic data interpolation is a currently popular research subject in modern reflection seismology. Compressed sensing (CS) based and rank-reduction based methods have great performances in recovering randomly missing traces, but their assumption or precondition, that traces miss randomly, is too hard to satisfy in real data. In this abstract, we propose a new morphology based method, which utilizes 2D mathematical morphological filtering (MMF) to recover missed energy of each frequency component. Because the morphological calculation is based on logical operation and set theory, which is different from the traditional mathematical transforms, this proposed f-xy domain 2D MMF method has strong anti-aliasing capability. Application of it on synthetic and field seismic data demonstrates a successful performance.

Original languageEnglish
Title of host publication79th EAGE Conference and Exhibition 2017
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Electronic)9789462822177
DOIs
StatePublished - 2017
Externally publishedYes

Publication series

Name79th EAGE Conference and Exhibition 2017

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

Fingerprint

Dive into the research topics of 'F-xy domain 2D mathematical morphological filtering for Seismic data interpolation'. Together they form a unique fingerprint.

Cite this