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Syntactic pattern recognition for seismic oil exploration /
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 t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
River Edge, NJ :
World Scientific,
2002.
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| Colección: | Series in machine perception and artificial intelligence ;
v. 46. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (xiv, 133 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 123-129) and index. |
| ISBN: | 9789812775740 9812775749 |