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Application of wavelet in measuring the depth of oil well

机译:小波在油井深度测量中的应用

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Since non-singular signal and random signal have different modulus maxima spread characterization in wavelet transform, the maxima corresponding to the noise are removed and the original signal can be reconstructed. Thus we derive the correlation template from denosied signal, and the accurate position of echo in strong noise environment is detected by correlation analysis. Therefore, the depth of the oil well between the ground and oil surface is obtained. A comparison is given between the correlation signal that used wavelet analysis and the one that does not, from which we can see the superiority of the wavelet analysis.
机译:由于非奇异信号和随机信号在小波变换中具有不同的模量最大值扩展特征,因此消除了与噪声相对应的最大值,并且可以重构原始信号。因此,我们从去噪信号中得出相关模板,并通过相关分析来检测在强噪声环境中回波的准确位置。因此,获得了地面与油面之间的油井深度。对使用小波分析的相关信号与未使用小波分析的相关信号进行了比较,从中可以看出小波分析的优越性。

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