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...

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Detalles Bibliográficos
Autores principales: Huang, Yaping, Yang, Haijun, Qi, Xuemei, Malekian, Reza, Pfeiffer, Olivia, Li, Zhixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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