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基于小波变换的随钻数据去噪算法研究 被引量:3

Research on Measurement Data while Drilling Denoising Based on WT
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摘要 随钻测量技术是现在钻井过程中最重要的环节之一。基于小波变换的随钻测量的信号处理是非常有前景的课题。通过分析随钻测量系统的基本原理及随钻测量信号的特性,结合随钻测量与小波变换,应用相关性理论以平均去噪效果为参照,对各种小波基的尺度参数和消失矩进行评价,得到最佳参数组合小波基。在合理选择最佳小波基的基础上,对随钻测量信号进行了仿真分析。仿真结果表明小波变换可以从强噪声背景的随钻测量信号中有效提取有用信号。 Measurement while drilling is one of the most important tasks in drilling and the signal processing of the measurement while drilling based wavelet transform is a potential theme. The elementary principle of the measurement while drilling and the measurement signals are analyzed. The optimum parameter combination of the wave- let basis is obtained by combining the measurement while drilling and the wavelet transform, exploiting correlation theory with respect to the average denoising effect by assessing the scale parameter and the vanishing moment. On the basis of choosing the optimum wavelet basis, the measurement signals are analyzed. Experimental results show that the wavelet transform can extract the useful signal from the measurement signals berried in the strong noise environment efficiently.
作者 殷雷
出处 《科学技术与工程》 北大核心 2012年第32期8663-8666,共4页 Science Technology and Engineering
关键词 随钻数据 小波变换 去噪 measurement data while drilling wavelet transform denoising
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