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    • 2. 发明申请
    • CYCLIC NOISE REMOVAL IN BOREHOLE IMAGING
    • 周期噪声去除在井眼成像
    • WO2010148269A3
    • 2011-02-10
    • PCT/US2010039110
    • 2010-06-18
    • SMITH INTERNATIONALZHANG JUNLIU ZHIPENGBOONEN PAUL
    • ZHANG JUNLIU ZHIPENGBOONEN PAUL
    • H04N5/21G06T5/00
    • G01V3/18G01V1/48
    • A method (100,120) for removing cyclic noise from a borehole image includes transforming (104) the image into the frequency domain using a two-dimensional (2-D) Fourier Transform, removing (108) cyclic noise components from the transformed image, and inverse transforming (110) the image back into the spatial domain using an inverse 2-D Fourier Transform. The cyclic noise component may also be isolated by subtracting the corrected image from the original image or by removing all non-cyclic noise components from the transformed image prior to inverse transforming. Removal of the cyclic noise from a borehole image tends to enable the identification of borehole features and provide for improved accuracy in formation parameter evaluation. Evaluation of the cyclic noise component may also enable the source of the noise to be identified and mitigated.
    • 用于从井眼图像中去除循环噪声的方法(100,120)包括使用二维(2-D)傅立叶变换将图像变换(104)到频域中,从变换图像中去除(108)循环噪声分量,以及 使用逆二维傅里叶变换将图像逆向变换(110)回到空间域。 也可以通过从原始图像中减去校正图像或者在逆变换之前从变换图像中去除所有非循环噪声分量来隔离循环噪声分量。 从井眼图像中去除循环噪声往往能够识别井眼特征,并提供了改进的地层参数评估精度。 循环噪声分量的评估还可以使噪声的来源被识别和减轻。
    • 3. 发明申请
    • CYCLIC NOISE REMOVAL IN BOREHOLE IMAGING
    • 周期噪声去除在井眼成像
    • WO2010148269A2
    • 2010-12-23
    • PCT/US2010/039110
    • 2010-06-18
    • SMITH INTERNATIONAL, INC.ZHANG, JunLIU, ZhipengBOONEN, Paul
    • ZHANG, JunLIU, ZhipengBOONEN, Paul
    • H04N5/21G06T5/00
    • G01V3/18G01V1/48
    • A method (100,120) for removing cyclic noise from a borehole image includes transforming (104) the image into the frequency domain using a two-dimensional (2-D) Fourier Transform, removing (108) cyclic noise components from the transformed image, and inverse transforming (110) the image back into the spatial domain using an inverse 2-D Fourier Transform. The cyclic noise component may also be isolated by subtracting the corrected image from the original image or by removing all non-cyclic noise components from the transformed image prior to inverse transforming. Removal of the cyclic noise from a borehole image tends to enable the identification of borehole features and provide for improved accuracy in formation parameter evaluation. Evaluation of the cyclic noise component may also enable the source of the noise to be identified and mitigated.
    • 用于从井眼图像中去除循环噪声的方法(100,120)包括使用二维(2-D)傅立叶变换将图像变换(104)到频域中,从变换图像中去除(108)循环噪声分量,以及 使用逆二维傅里叶变换将图像逆向变换(110)回到空间域。 也可以通过从原始图像中减去校正图像或者在逆变换之前从变换图像中去除所有非循环噪声分量来隔离循环噪声分量。 从井眼图像中去除循环噪声往往能够识别井眼特征,并提供了改进的地层参数评估精度。 循环噪声分量的评估还可以使噪声的来源被识别和减轻。