摘要
地震属性是具体表征和研究地震数据内部所包含的时间、振幅、频率、相位以及衰减特性的指标。序列属性分析法作为一种地震属性数据的统计分析方法,可以使很细微的、不易被发现的统计规律会变得很明显。提取选定对比层位的序列属性参数的均值,在分别对同一属性的各层位数据排序的基础上,对各层排序情况进行总体评价,分析预测储层的含油气情况。经过与井资料反演和高阶统计量分析结果对比验证,证明了本方法储层预测的可行性。
Seismic attribute is an index representing the time,amplitude,frequency and attenuation characteristics in seismic data. As a statistic method of seismic attribute analysis,the sequence attribute analysis can magnify imperceptible statistic rules,which contains abundant information about reservoir. The sequence attribute parameter mean is computed for the chosen horizons in chosen time window of the seismic profile. Based on the order sorting to the same attribute parameter of all horizons,the total appraisal to the horizons is given. Compared with the results of logging inversion and higher order statistics,this method is proved to be feasible in reservoir prediction.
出处
《世界地质》
CAS
CSCD
2004年第2期187-191,200,共6页
World Geology
关键词
地震属性
序列属性分析
储层预测
排序
评价
seismic attribute
sequence attribute analysis
reservoir prediction
order sorting
total appraisal