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Vol. 173, Issue 6, June 2014, pp. 16-20




The Wavelet Transformation Sensitiveness to Direction of Image Characteristics and its Application
in Formation MicroScanner Image Fracture Identification

Saijun Chen

Hangzhou Institute of Commerce, Zhejiang Gongshang University, No.18, Xuezheng Str., Xiasha University Town, Hangzhou, 310018, China
Tel.: +86 13615810789

E-mail: saijunchen@126.com


Received: 5 May 2014 /Accepted: 30 April 2014 /Published: 30 June 2014

Digital Sensors and Sensor Sysstems


Abstract: Study of Formation Microscanner Image (FMI) is a hot issue in the field of well logging and geological interpretation, in order to accurately identify the cracks of FMI in different directions, this paper proposes a fracture identification approach based on wavelet analysis. This paper first explains the basic principle of the application of two-dimensional wavelet transformation to geophysical attribute data. Through analysis, we find that two-dimensional wavelet transform has directional sensitivity to image data. And then we put forward an effective procedure to apply this new discovery to FMI fracture identification. Based on the feature of FMI, effective wavelet basis function and scaling function were established to improve the accuracy of fracture identification and image segmentation. The study shows that this method is ideal for identification of linear target (oil and gas migration channel) while it is not so sound for bulk target (hole). This new fracture identification method provides a basis for prediction of oil and gas reservoir and has certain reference value for logging data analysis.


Keywords: FMI, Two-dimensional discrete wavelet transformation, Fracture identification, Wavelet decomposition, Wavelet reconstruction.


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