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A novel selection method of seismic attributes based on gray relational degree and support vector machine
The selection of seismic attributes is a key process in reservoir prediction because the prediction accuracy relies on the reliability and credibility of the seismic attributes. However, effective selection method for useful seismic attributes is still a challenge. This paper presents a novel select...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796712/ https://www.ncbi.nlm.nih.gov/pubmed/29394297 http://dx.doi.org/10.1371/journal.pone.0192407 |