节点文献
高阶统计量在河道解释上的应用实例
An application example of high-order statistics in interpretation of river course
【摘要】 探索了高阶统计量在油气储层预测和地质解释上的适用情况;提取了偏度属性和峰度属性两种相当于三阶和四阶的累计量,并与其他比较常用的地震属性进行了对比分析。对某地区河道分析的结果表明,高阶统计量属性分析对于油气储层预测和地质解释有一定的实用价值,特别是对于信号较弱的地区,完全可以和其他的地震属性配合使用,以减少油气储层预测的风险,而且由于高阶统计量属性分析对信号保幅处理的要求不高,所以在一些非保幅数据体上也可以加以应用。
【Abstract】 This paper studied the applicability of high-order statistics in reservoir prediction and geological inter-pretation. Two attributes, skewness and kurtosis that are equivalent to three-order and four-order accumulations,were extracted and compared with conventional attributes for their abilities in course interpretation. It was con-cluded that high-order statistics analysis was effective on reservoir prediction and geological interpretation. Thismethod is especially useful in areas with weak seismic signals. It can be used with other seismic attributes to re-duce the risk of reservoir prediction. Since it does not require amplitude-preserved data, high-order statistics anal-ysis can even be used on seismic dataset without amplitude preserved processing.
【Key words】 high-order statistics; high-order accumulation; reservoir prediction; seismic attribute;
- 【文献出处】 勘探地球物理进展 ,Progress in Exploration Geophysics , 编辑部邮箱 ,2004年05期
- 【分类号】P631.4
- 【被引频次】7
- 【下载频次】145