基于小波分析理论的复杂岩性区块油水层识别方法  

The Method of Oil and Water Layer Identification Based on Wavelet Analysis Theory for Complex Lithology Block

作　　者：张美玲[1] 牟立伟[1] 蔺建华[2] 

机构地区：[1]东北石油大学地球科学学院,黑龙江大庆163318 [2]大庆钻探工程公司测井公司,黑龙江大庆163412

出　　处：《数学的实践与认识》2017年第3期84-89,共6页Mathematics in Practice and Theory

基　　金：国家自然科学基金(41274132);东北石油大学研究生创新科研项目(YJSCX2016-004NEPU)

摘　　要：基于伊通盆地双二段储层岩性变化快,沉积模式复杂等特点,利用小波变换对测井信号进行去高频噪音处理,再运用多分辨率分析、小波包分析对该研究区目的层段流体进行识别.结果表明:去噪处理后的信号在保持原有信号特性的基础上,将高频噪音产生的影响去除,具有高保真,高信噪比的优点.运用小波分析理论,结合分频能量叠加原理对储层流体进行识别,解释正确率在80%以上,远优于常规解释方法,有效地解决了在复杂岩性区块油水层识别难度大的问题.Based on lithology changing fast and complex sedimentary model in the Shuang Er reservoir of Yitong Basin, it was cut the high-frequency noise for well logging signal with wavelet transform. Then, the identification of the fluid in the study area is carried out by using multi reso- lution analysis and wavelet packet analysis. The results show： the denoised signal maintains the characteristics of the original signal and removes the influence of the abrupt tip （high frequency noise）.It has the advantages of high fidelity and high SNR. The reservoir fluid is identified by using wavelet analysis theory with the superposition principle of dividing frequency energy, the correct rate is more than 80%. It is far superior to the conventional interpretation method, which can effectively solve the problem of the identification of oil and water layers in complex lithology block.

关 键 词：复杂岩性 小波去噪 小波分析 流体识别 

分 类 号：P618.13[天文地球—矿床学]