利用这些地震属性参数，通过模糊神经网络的方法，对碳酸盐岩储层进行综合预测与评价。
The carbonate reservoir was predicted and evaluated comprehensively by using the method of fuzzy neural net according to these seismic attribute parameters.
利用统计学原理给出了流体指示因子的计算方法，用于定量评价地震属性参数对孔隙流体变化的响应差异。
A calculation method for fluid indicator is given by the statistical method and used to reflect the response difference of seismic attribute parameters to fluid variation.
利用灰关联分析实现了地震属性的敏感性分析，并建立了储层参数与属性之间的灰色关联。
Using Grey association analysis realized the sensibility analysis of seismic attributes and built up Grey association between the reservoir parameters and attributes.
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