Identification of seismic crew noise in marine surveys by neural networks

Vinton Buffenmyer, Mary M Poulton, Roy A Johnson

Research output: Contribution to journalArticle

2 Citations (Scopus)

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)
JournalLeading Edge (Tulsa, OK)
Volume19
Issue number4
StatePublished - 2000

Fingerprint

seismic noise
crews
shot
back propagation
display devices
learning
sliding
analysis

ASJC Scopus subject areas

  • Geology

Cite this

Identification of seismic crew noise in marine surveys by neural networks. / Buffenmyer, Vinton; Poulton, Mary M; Johnson, Roy A.

In: Leading Edge (Tulsa, OK), Vol. 19, No. 4, 2000.

Research output: Contribution to journalArticle

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