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Syntactic Pattern Recognition For Seismic Oil Exploration - Kou-Yuan Huang

Syntactic Pattern Recognition For Seismic Oil Exploration

(Autor)

Buch | Hardcover
148 Seiten
2002
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-02-4600-6 (ISBN)
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The use of pattern recognition has become more and more important in seismic oil exploration. This volume explores the challenging problem of interpreting a large volume of seismic data. The syntactic methods examined can also be applied to other areas, such as medical diagnosis.
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 parsing using the match primitive measure, (4) the Levenshtein distance computation, (5) the likelihood ratio test, (6) the error-correcting tree automata, and (7) a hierarchical system.Syntactic seismic pattern recognition can be one of the milestones of a geophysical intelligent interpretation system. The syntactic methods in this book can be applied to other areas, such as the medical diagnosis system. The book will benefit geophysicists, computer scientists and electrical engineers.

Introduction to Syntactic Pattern Recognition; Introduction to Formal Languages and Automata; Error-Correcting Finite-State Automaton for Recognition of Ricker Wavelets; Attributed Grammar and Error-Correcting Earley's Parsing; Attributed Grammar and Match Primitive Measure (MPM) for Recognition of Seismic Wavelets; String Distance and Likelihood Ratio Test for Detection of Candidate Bright Spot; Tree Grammar and Automaton for Seismic Pattern Recognition; A Hierarchical Recognition System of Seismic Patterns and Future Study.

Erscheint lt. Verlag 9.5.2002
Reihe/Serie Series In Machine Perception And Artificial Intelligence ; 46
Verlagsort Singapore
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften Geowissenschaften Geografie / Kartografie
Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Geophysik
Technik Bergbau
ISBN-10 981-02-4600-5 / 9810246005
ISBN-13 978-981-02-4600-6 / 9789810246006
Zustand Neuware
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