摘要
小波变换是继傅里叶变换、短时傅里叶变换之后出现的新一代时-频分析方法,具有良好的时频局部特性,因而受到越来越多的关注。在石油和天然气勘探开发领域,小波变换处理地震、测井的不稳定信号,提高油气储层地质特征的识别中得到了较为广泛地应用。然而,相关小波变换在试井数据处理的研究和应用方面的报道较少。文中介绍了小波变换的基本概念、发展过程以及目前在试井中的应用情况,重点阐述了小波变换对试井数据的降噪处理和奇异性检测,以提高油气井流体动态参数变化的识别率。
The wavelet transform is a new method for analyzing time-frequency behavior after the Fourier transform and short time Fourier transform.It has attracted more and more attention during the past decades due to its good time-frequency localization.Now it is widely applied in petroleum and gas exploratory development field such as processing the non-stationary signals in seismic and well log so as to identify the geologic characteristics of hydrocarbon reservoir and so on.However,the introduction about its application in well test data processing was scarce.The basic conception,development process of wavelet transform and its applications in well test were analyzed,especially its applications in de-noising and singularity detection,so that the identification rate of performance data of hydrocarbon reservoir could be enhanced.
出处
《钻采工艺》
CAS
北大核心
2009年第5期42-44,126,共3页
Drilling & Production Technology
关键词
小波变换
试井
多尺度分析
降噪
奇异性检测
流体动态识别
wavelet transform,well test,multi-scale analysis,de-noising,singularity detection,fluid performance identification
