基于小波变换的信号奇异性检测在层位识别中的应用  

Application of wavelet transform-based signal singularity detection in horizon identification

作　　者：刘伟[1,2] 曹思远[1,2] 

机构地区：[1]中国石油大学(北京)油气资源与探测国家重点实验室,北京102249 [2]中国石油大学(北京)CNPC物探重点实验室,北京102249

出　　处：《石油地球物理勘探》2010年第4期530-533,共4页Oil Geophysical Prospecting

基　　金：国家"863"项目(2007AAS06Z229);国家重大专项(2008ZX05024-001-01)资助

摘　　要：小波变换不仅具有时域和频域局部化特性,而且可对信号做奇异性分析。通过奇异性分析,既要确定奇异点的位置,又要选用合适的小波函数与尺度对奇异点进行精确的描述。为此本文针对阻抗数据的特点提出了阻抗基函数的概念,并求取了更为适合波阻抗分析的阻抗基函数。数值模拟结果表明阻抗基函数很好地反映了阻抗在深度上的不连续性,从而极易求出阻抗的层位信息。The wavelet transform not only has localization property in both time domain and frequency domain,but also by using it the signal singularity analysis can be conducted.Through singularity analysis the location of the singular point need to be determined,and the suitable wavelet function and scale also need to be chosen to accurately describe the singular point.Regarding to the characteristics of the impedance data the concept of the impedance basis function was presented in this paper,and the impedance basis function which is more suitable for impedance analysis was estimated.The simulation results show that the impedance basis function reflected the discontinuity of the impedance in depth very well,so the horizon information of the impedance were easily estimated.

关 键 词：小波变换 信号奇异性 阻抗基函数 模极大值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]