In this paper, it is very significance to discuss the problem that apply the seismic attribute data to predict permeability.
因此，探讨利用地震属性预测渗透率具有重要的理论和实际意义。
The horizontal prediction of thickness and porosity of a sand member in a region was made by applying multivariate statistical method to seismic attribute, drilling and logging data.
本文应用多元统计方法，利用地震属性并辅以钻井、测井资料对某地区某层段砂岩的厚度和孔隙率进行了横向预测。
But it can produce false images when using a single attribute to resolve geological problem because of the limitation in resolution and signal to noise ratio of seismic data.
但由于受地震资料分辨率和信噪比的限制，用一种地震属性去研究地质问题往往容易产生偏差。
By data processing, P-wave seismic section, PS-wave seismic section can be attained and also the layer attribute can be extracted.
通过资料处理，可以得到井口附近的一段高分辨率的P波地震剖面、PS波地震剖面，也可以提取地层属性参数。
This technique can obtain effective seismic multi-attribute information by applying 8 kinds of methods to analyze and process seismic, logging and geological data.
本技术是通过8类方法，对地震、测井、地质等多种资料进行分析、处理，从中提取地震有效多属性信息。
This technique can obtain effective seismic multi-attribute information by applying 8 kinds of methods to analyze and process seismic, logging and geological data.
本技术是通过8类方法，对地震、测井、地质等多种资料进行分析、处理，从中提取地震有效多属性信息。
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