测井技术2017，Vol.41Issue(2)：151-155,5.DOI:10.16489/j.issn.1004-1338.2017.02.005
基于形态滤波的声波法测油井中动态液面信号消噪算法
Noise Reduction Algorithm for Dynamic Liquid Level Signal of Oil Wells by Acoustic Method Based on Morphological Filtering
摘要
Abstract
In the process of oil wells logging by acoustic method,it will produce various noises in the tubing casing of annulus.It makes the gathered acoustic signals extremely complicated,and the valid waves are disturbed even buried in the noises so that they could not be identified and extracted.There fore,it needs to adopt effective methods to remove the noises as much as possible.This article mainly adopts morphological filtering which belongs to signal processing methods to eliminate noise for the dynamic liquid level signal of oil wells logging by acoustic method.The advantage of morphological filtering method focuses on extracting valid signal according to its morphological characteristics,and the appropriate selection of structure element is very critical.Through the processing of actual data obtained from oil wells logging by acoustic method,it could be seen that the noises have been suppressed much more and the valid waves possess high fidelity in morphology after morphological filtering.Through the spectrum comparison of the signal before and after filtering,it could be seen that the spectrum of filtered signal is smoother.The results demonstrate that with morphological filtering to process the data of oil wells logging by acoustic method,the noises could be eliminated effectively and the valid waves could be reserved well.关键词
声波法测油井/动态液面/形态滤波/结构元素/噪声消减Key words
acoustic well logging/dynamic liquid level/morphological filtering/structure element/noise reduction分类
天文与地球科学引用本文复制引用
刘彦萍,仵杰,陈延军,刘丽..基于形态滤波的声波法测油井中动态液面信号消噪算法[J].测井技术,2017,41(2):151-155,5.基金项目
国家自然科学基金项目(41474108) （41474108）
陕西省教育厅专项科研计划项目(15JK1576) （15JK1576）
西安石油大学博士科研启动基金项目(2015BS21) （2015BS21）
