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KNOWLEDGE-BASED SYSTEMS FOR THE INTERPRETATION OF SEISMIC DATA

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Author
Cleary, John G.
Kramer, Laurane L.
Wingham, Michael P.
Accessioned
2008-02-27T16:56:00Z
Available
2008-02-27T16:56:00Z
Computerscience
1999-05-27
Issued
1985-12-01
Subject
Computer Science
Type
unknown
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Abstract
The domain of geophysical seismic data processing is analyzed for the applicability of artificial intelligence and knowledge engineering techniques. The main area of use for this domain is in the search for hydrocarbon deposits. The domain is characterized by large amounts of data and processing to be done on them. The processes range over a continuum from large volume signal processing to high level skilled interpretation. Many different attributes vary across this range. It is claimed that these attributes determine the style of processing and reasoning appropriate at each stage. A prototype system in the mid-range of the continuum has been developed. The prototype and its characteristics are examined in light of this analysis.
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We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
Corporate
University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30550
Uri
http://hdl.handle.net/1880/45814
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