Volume 6, Issue 4, July 2018, Page: 97-103
A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering
Chen Zhigang, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Tian Shuling, Bureau of Geophysical Prospect International, Zhuozhou, China
Sun Xing, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Wang Yuzhu, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Han Yuchun, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Ma Hui, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Chen Jie, Geological Research Center, Bureau of Geophysical Prospect, Zhuozhou, China
Received: Jun. 26, 2018;       Accepted: Aug. 27, 2018;       Published: Oct. 12, 2018
DOI: 10.11648/j.ajpa.20180604.14      View  255      Downloads  27
Abstract
Ant tracking technique is a widely used seismic interpretation method of identifying faults in the field of oil and gas exploration and development. However, due to its poor noise immunity, the fault identification effect of ant tracking could be easily affected by the quality of seismic data. Usually, two types of methods can be used to improve the effect of ant tracking, to improve the algorithm of ant tracking or to remove the noise of the seismic data. The first method is usually carried out by the research personnel, and it will take quite a long time before it can be integrated into the software, therefore, the de-noising method is more realistic for the interpreters. This paper puts forward a method of improving the effect of ant tracking by using AC component filtering of reflected intensity. In this method, the structural orientation filtering of the original seismic data is carried out first, and then a coherence cube is calculated based on multiple seismic trace dip scanning. Next, a filtering will be carried out on the coherence cube by using the AC component of the reflected intensity, and then the positive value after the filtering will be set to zero. Finally, the ant tracking will be processed based on the data volume. The improved ant tracking has a better fault identification effect with a higher fault identification rate, which is more favorable for the detailed interpretation of faults.
Keywords
Ant Tracking, Reflection Strength AC Component, Dip Scanning, Coherence Cube, Fault Identification
To cite this article
Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, Ma Hui, Chen Jie, A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering, American Journal of Physics and Applications. Vol. 6, No. 4, 2018, pp. 97-103. doi: 10.11648/j.ajpa.20180604.14
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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