摘要
地震数据采集过程中的空间采样通常是高度不规则的,因而引起地震数据成像结果不能准确反映地下地质构造形态和物性变化规律,必须在处理阶段予以消除。总结以往的数据规则化方法在实际应用中都存在一些弊端。研究了频率—空间域叠前数据规则化方法,该方法采用加权处理的思路,利用辛格函数算子对叠前数据在频率—空间域进行自适应插值处理,通过相邻地震道加权得到规则的地震数据。该方法在实际的浅层地震资料处理中见到了良好效果,处理后CRP道集振幅关系保持良好,很好地满足了叠前反演和AVO分析的需求。
During seismic data acquisition, spatial sampling is usually highly irregular which cause the imagery results cannot to accurately reflect the geological structure and physical property. Therefore, irregular sampling should be eliminated during seismic data processing. Summarized the defect of some data regularization methods in practical application, this paper introduced the prestack data regulation method in frequency-spatial domain, which adopted the thinking of weighted processing. By using sinc function on self-adaptive interpolation computation method in frequency-spatial domain, this method gets regular seismic data by adjacent trace weighting. This method obtained great effects in shallow seismic data processing. After processing the CRP trace gather keeps good relative amplitude preserve, which can satisfy the prestack inversion and AVO analysis requirement.
出处
《油气藏评价与开发》
2013年第2期15-20,共6页
Petroleum Reservoir Evaluation and Development
基金
国家重点基础研究发展计划"973"项目(2009CB219307)
关键词
频率-空间域
数据规则化
叠前插值
偏移距
覆盖次数
frequency-spatial domain, data regularization, prestack interpolation, offset, fold
