A Seismic Fault Recognition Method based on Linear Regression  
  Authors : Lei CHEN; Chuang-Bai XIAO; Jing YU; Zhen-Li WANG

 

Fault recognition is an important section in seismic interpretation region and there have been many methods for this technology, but no one can recognize the fault exactly enough. For this problem, we proposed a new fault recognition method based on linear regression which can locate the position of a fault precisely and then extract it from the seismic section. First, the seismic horizons were labeled out by the eight adjacent connected component labeling method as connected regions; second, the horizontal endpoints of each connected component were found out based on the column coordinate of the pixels within the component; finally, the linear regression method based on least sum of square error was used to generate the direct line which was used to fit the horizontal endpoints. As a result, the direct line was regarded as the desired fault. To validate the availability and advancement of the proposed method, different fault recognition methods were compared through experiments on the synthetic seismic model data and the real seismic data. The comparison of the fault recognition results indicated that the proposed method is more accurate and effective than the traditional and latest presented methods.

 

Published In : IJCAT Journal Volume 4, Issue 2

Date of Publication : February 2017

Pages : 01-07

Figures :06

Tables : 01

Publication Link :A Seismic Fault Recognition Method based on Linear Regression

 

 

 

Lei CHEN : received his Master. degree in Pattern recognition and intelligent system from Taiyuan University of Science and Technology, Taiyuan China. He is currently a PhD Scholar at the College of Computer Science and Technology in Beijing University of Technology. His research interest is pattern recognition and computer vision. BOD: 1981-04-10.

Chuang-Bai XIAO : Professor at the School of Computer Science and Technology, Beijing University of Technology, His main research interest is digital signal processing. BOD: 1962.

Jing YU : lecturer at the School of Computer Science and Technology, Beijing University of Technology, Her main research interest are Image processing , pattern recognition. BOD: 1981.

WANG Zhen-Li : Director and associate professor at the Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences. His main research interest is Complex structure imaging. BOD: 1963

 

 

 

 

 

 

 

Fault Recognition, Labeling, Seismic Section, Linear Regression, Least Squares

To recognize the fault exactly enough, we proposed a new fault recognition method based on linear regression method in this paper. At the beginning, the method of determining fault location is introduced, then, the principle of the linear regression method based on least squares fitting and the proposed fault recognition method based on the linear regression were given out; finally, to validate the availability and advancement of the proposed method, different fault recognition methods were compared through experiments on the synthetic seismic model data and the real seismic data. The experimental results indicated that the proposed method is more accurate and effective than the traditional presented methods. To apply the proposed method to the problem of multiple faults recognition is our future work.

 

 

 

 

 

 

 

 

 

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