A novel selection method of seismic attributes based on gray relational degree and support vector machine.

ABSTRACT: 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 selection method of seismic attributes for reservoir prediction based on the gray relational degree (GRD) and support vector machine (SVM). The proposed method has a two-hierarchical structure. In the first hierarchy, the primary selection of seismic attributes is achieved by calculating the GRD between seismic attributes and reservoir parameters, and the GRD between the seismic attributes. The principle of the primary selection is that these seismic attributes with higher GRD to the reservoir paramet

SUBMITTER: Huang Y 

PROVIDER: S-EPMC5796712 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature