Identification of seismic crew noise in marine surveys by neural networks

Vinton Buffenmyer, Mary Poulton, Roy Johnson

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

A multi-layer feed-forward architecture with back-propagation learning was used to determine seismic crew noise. Testing was performed on the entire shot record using a sliding window. Two types of visual displays became important to the analysis of the network's results for testing upon shot records. The results indicate that a neural network can be successfully trained to identify seismic crew noise in marine surveys.

Original languageEnglish (US)
Pages (from-to)370, 372, 374, 376
JournalLeading Edge (Tulsa, OK)
Volume19
Issue number4
DOIs
StatePublished - Jan 1 2000

ASJC Scopus subject areas

  • Geophysics
  • Geology

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