Syntactic pattern recognition for seismic oil exploration /

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Bibliographic Details
Author / Creator:	Huang, Kou-Yuan.
Imprint:	River Edge, NJ : World Scientific, 2002.
Description:	1 online resource (xiv, 133 pages) : illustrations
Language:	English
Series:	Series in machine perception and artificial intelligence ; v. 46 Series in machine perception and artificial intelligence ; v. 46.
Subject:	Petroleum -- Prospecting -- Data processing. Pattern recognition systems. Seismic reflection method -- Data processing. Pattern recognition systems. Petroleum -- Prospecting -- Data processing. Seismic reflection method -- Data processing. Electronic book.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11178936

Hidden Bibliographic Details
ISBN:	9789812775740 9812775749 9810246005 9789810246006
Notes:	Includes bibliographical references (pages 123-129) and index. Print version record.
Summary:	The use of pattern recognition has become more and more important in seismic oil exploration. Interpreting a large volume of seismic data is a challenging problem. Seismic reflection data in the one-shot seismogram and stacked seismogram may contain some structural information from the response of the subsurface. Syntactic/structural pattern recognition techniques can recognize the structural seismic patterns and improve seismic interpretations. The syntactic analysis methods include: (1) the error-correcting finite-state parsing, (2) the modified error-correcting Earley's parsing, (3) the par.
Other form:	Print version: Huang, Kou-Yuan. Syntactic pattern recognition for seismic oil exploration. River Edge, NJ : World Scientific, 2002 9810246005 9789810246006

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