小波变换在高分辨率层序地层划分中的应用  

Application of Wavelet Transform in High-Resolution Sequence Stratigraphic Classification

作　　者：寻知锋[1] 余继峰[2] 张霞 秦泗伟 田文琴 

机构地区：[1]山东省日照市国土资源局,山东日照276826 [2]山东科技大学地球科学与工程学院,山东青岛266510 [3]山东省第八地质矿产勘查院,山东日照276826

出　　处：《山东国土资源》2017年第9期77-81,共5页Shandong Land and Resources

摘　　要：该文秉承前人运用测井数据的连续小波变换进行层序地层划分的依据和思路,详细论述了测井数据连续小波变换进行高分辨率层序地层划分的具体步骤。以济阳坳陷某钻井C-P地层的测井数据为研究实例,重点探讨了测井数据连续小波变换中参数选取(小波基、最大变换尺度值和不同尺度下小波系数尺度值)的不同得出的连续小波变换波谱图和系数曲线对层序地层划分的影响;依据优选出的各种相关参数,对消除噪声以后的测井数据(自然伽马)进行连续小波变换及高分辨率层序地层划分,共划分为5个长期基准面旋回,35个短期基准面旋回。增加了应用测井数据连续小波变换进行高分辨率层序地层划分的可靠性。Based on the arguments and thoughts put forward by other researchers in applying wavelet transform of well logs in sequence stratigraphic classification,the steps of wavelet transform of well logging data in high resolution sequence stratigraphic classification have been introduced in detail. Taking C-P stratum logging data from a certain well in Jiyang depression as an example,the influence of different scalograms and wavelet coefficients to sequence stratigraphic classification caused by different parameter selections（ wavelet mother function,maximum scale factor and wavelet coefficients under certain scale） have been studied. According to the optimized correlation parameters,the well logging datas have been carried out continuous wavelet transform and high resolution sequence stratigraphic division after eliminated noise（ GR）. It can be divided into 5 long-term cycles and 35 short-term cycles. The reliability of high resolution sequence stratigraphic classification is improved by using continuous wavelet transform of well log data.

关 键 词：连续小波变换 层序地层 测井数据 济阳坳陷 尺度设置 

分 类 号：P53[天文地球—古生物学与地层学]