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1. 发明申请

WO2010148269A3 CYCLIC NOISE REMOVAL IN BOREHOLE IMAGING 审中-公开
标题翻译：周期噪声去除在井眼成像
公开(公告)号：WO2010148269A3
公开(公告)日：2011-02-10
申请号：PCT/US2010039110
申请日：2010-06-18
申请人： SMITH INTERNATIONAL , ZHANG JUN , LIU ZHIPENG , BOONEN PAUL
发明人： ZHANG JUN , LIU ZHIPENG , BOONEN PAUL
IPC分类号： H04N5/21 , G06T5/00
CPC分类号： G01V3/18 , G01V1/48
摘要： 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.
摘要翻译：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。

2. 发明申请

WO2010148269A2 CYCLIC NOISE REMOVAL IN BOREHOLE IMAGING 审中-公开
标题翻译：周期噪声去除在井眼成像
公开(公告)号：WO2010148269A2
公开(公告)日：2010-12-23
申请号：PCT/US2010/039110
申请日：2010-06-18
申请人： SMITH INTERNATIONAL, INC. , ZHANG, Jun , LIU, Zhipeng , BOONEN, Paul
发明人： ZHANG, Jun , LIU, Zhipeng , BOONEN, Paul
IPC分类号： H04N5/21 , G06T5/00
CPC分类号： G01V3/18 , G01V1/48
摘要： 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.
摘要翻译：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。

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