Application of Attributes Fusion Technology in Prediction of Deep Reservoirs in Paleogene of Bohai Sea

The Paleogene strata(with a depth of more than 2500m) in the Bohai sea is complex(Xu Changgui,2006), the reservoir buried deeply, the reservoir prediction is difficult(LAI Weicheng,XU Changgui,2012), and more than half of the drilling loss wells are due to that the reservoir prediction is not accurate. Reservoir prediction results have become the keys to control the success of deep exploration in the Paleogene of the Bohai Sea(XU Changgui,2013). In the case of reservoir prediction based on seismic attributes, the application of the simple single attribute analysis into prediction of reservoirs are often more problematic for the characteristics of deep sandy sand in the area. Therefore, in order to make efficient use of seismic data and reduce seismic attributes Multi-solution, thus highlighting the seismic reflection characteristics of favorable reservoirs, thence the method of seisnic multi-attribute fusion is applied to predict and reservoirs. Prior to the integration of seismic attributes, it is generally necessary to optimize a large number of attributes(Yin Xingyao and Zhou Jingyi,2005). Analysis of correlation between attributes and reservoir lithology will be firstly operated, and select the most sensitive attributes to geological conditions(Gu Faming,2009). Secondly, the correlation between the selected attributes will be calculated. Finally, since the different attributes have different dimensions and range of values, some multi-attribute fusion methods need to optimize the attributes before the attribute fusion, such as normalization, the principal component analysis and so on. This paper will mainly introduce the application of RGB attribute fusion and cluster analysis attributes fusion in reservoir prediction. *