Thickness prediction of seismic multi-attributes sand based on association rules and random forests

Seismic attributes analysis technique is an important tool for sand thickness prediction. Due to the varieties of seismic attributes, the best seismic attributes need to be optimized before the seismic attributes analysis technique is applied to reduce the repeatability and redundancy of the attribu...

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Autors principals:	Zhipeng Qu, Fangfang Wang, Yunyin Zhang, Xiaochen Li
Format:	Artigo
Idioma:	Chinês
Publicat:	Editorial Department of Bulletin of Geological Science and Technology 2021-05-01
Col·lecció:	地质科技通报
Matèries:	seismic attribute selection association rule frequent pattern tree random forest reservoir prediction
Accés en línia:	https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0314
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