基于方向概率密度和小波描述子的沉积微相识别研究  

Sedimentation Microfacies Identification Based on Direction Probability Density and Wavelet Descriptor

作　　者：王任一[1,2] 梅廉夫[1] 

机构地区：[1]中国地质大学,武汉430074 [2]中国海洋石油股份公司湛江分公司勘探开发部,广东湛江524057

出　　处：《沉积学报》2008年第6期947-956,共10页Acta Sedimentologica Sinica

摘　　要：首次提出了利用测井曲线不同形态识别沉积微相方法(算法)必须要满足三个前提条件,即平移和尺度缩放的不变性以及旋转可变性的认识,并提出了一种满足这三个前提条件的利用测井曲线形态识别沉积微相的新方法。主要通过求取不同测井曲线形态的边界方向概率密度后,再对其进行小波变换,可用少数几个对其方向概率密度可以近视重构的低频小波描述子进行沉积微相识别,同时建立了不同沉积微相小波描述子识别模式。对反映不同沉积微相的测井曲线形态方向概率密度函数进行小波分析,使沉积微相信息从高维特征空间被映射到由少数几个低频小波描述子组成低维特征向量空间,使不同沉积微相间差异信息得到放大突出。该方法不仅使利用测井曲线形态对沉积微相识别的这一较复杂问题,简化为对少数几个低频小波描述子进行判断的简单问题,而且还可利用这些小波描述子对其进行一定程度上沉积学分析。For the sedimentation mierofacies identification based on the well logging curves of different shapes, three conditions including the invariance of translation and dimension scaling and the modifiability of rotation should be satisfied. In this paper, a new method of sedimentation microfacies identification using the shape of well logging curves which can satisfy the three conditions above was set . Through computing the boundary direction probability density ofdifferent shapes of well logging curves, then the wavelet transformation should be made, and few low frequency wavelet descriptors whose direction probability density can be reconstructed can be used as the sedimentation mierofacies identification and the wavelet descriptor identification of different sedimentation microfacies can be set at the same time. The wavelet analyze should be made for the direction probability density function of different well logging curve, so the sedimentation microfacies information should be mapped to a reduced dimensionality characteristic vector space consist of few low frequency wavelet descriptors from the high dimensionality characteristic vector space, therefore, the discrepancy information of different sedimentation microfacies can be enlarged. For the complicated problem of sedimentation microfacies identification based on the shapes of well logging curves, this method can degenerate it into a simple problem that judging few low frequency wavelet descriptors and the wavelet descriptors can also be used for the sedimentology analysis.

关 键 词：沉积微相 测井曲线形态 方向概率密度 小波描述子 自动识别 

分 类 号：P512.2[天文地球—地质学]