A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering

Chen Zhigang; Tian Shuling; Sun Xing; Wang Yuzhu; Han Yuchun; Ma Hui; Chen Jie

doi:doi:10.11648/j.ajpa.20180604.14

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A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering

Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, Ma Hui, Chen Jie

Published in American Journal of Physics and Applications (Volume 6, Issue 4)

Received: 26 June 2018 Accepted: 27 August 2018 Published: 12 October 2018

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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.

Published in	American Journal of Physics and Applications (Volume 6, Issue 4)
DOI	10.11648/j.ajpa.20180604.14
Page(s)	97-103
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Ant Tracking, Reflection Strength AC Component, Dip Scanning, Coherence Cube, Fault Identification

References

[1]	Dorigo M, Maniezzo V and Colorni A. Ant system: Optimization by a colony of cooperating agent [J]. IEEE Trans on SMC, 1996, 26(1): 1-13.
[2]	Pedersen S I, Skov T. Automatic fault extraction using artificial ants [J]. SEG Technical Program Expanded Abstracts, 2002, 21: 512-515.
[3]	Aqrawi A. Improved fault segmentation using a dip guided and modified 3D Sobel filter [J]. SEG Technical Program Expanded Abstracts, 2011, 30: 999-1003.
[4]	GUO Q, LI R M. Application of ant-tracking technique in Cretaceous structure in Yanmuxi Oilfield [J]. Tuha Oil & Gas, 2008, 13(1), 39-41.
[5]	ZHANG X. Application of ant tracing algorithm in fault automatic interpretation: a case study on Fangheting structure in Pinghu Oilfield [J]. OGP, 2010, 45(2): 278-281.
[6]	JIANG X F, LI X Y, LI X M. Application of ant tracking technology in small fault identification [J]. Tuha Oil & Gas, 2012,17 (4): 323-325.
[7]	LIN C H，GUO L Q，ZHANG W . Fine interpretation of mine geological structure through Ant tracking technology [J]. Coal Geology of China, 2013, 25 (4): 55-59.
[8]	ZHOU W, YIn T J, ZHANG Y C. Application of ant tracking technology to fracture prediction: A case study from Xiagou Formation in Qingxi Oilfield [J]. Lithologic Oil&Gas Reservoir, 2015, 27(6): 111-118.
[9]	YAN Z, GU H M. Fault identification by orientation constraint ant colony algorithm [J]. OGO, 2011, 46(4): 614-620.
[10]	LEI X Z, LAI W Q. An improved parallel ant colony optimization algorithm [J]. Journal of Gansu Lianhe University (Natural Sciences) 2009, 23 (1): 67.
[11]	ZHANG J H, XU X H. A new evolutionary algorithm-Ant colony algorithm [J]. Systems Engineering-Theory & Practice, 1999, (3): 84-87.
[12]	Sun D S and Ling Y. Application of spectral decomposition and ant tracking to fractured carbonate reservoirs [J]. EAGE extended Abstracts, 2011, B035: 23-26.
[13]	ZHAO W. A study of 3D seismic fault identification based ant colony Algorithm [D]. Nanjing: Nanjing University of Science and Technology, 2009.
[14]	Haskell N.L, Nissen S.E., Lopez J.A, et al., 3-Dseismic coherency and imaging of sedimentological features [J]. Expanded abstracts of the 65th annual internet SEG meeting, 1995, 1532-1534.
[15]	Bahorich M.S., Lopez J.A., Haskell N L, et al. Stratigraphic and structural interpretation with 3-D coherence[J]. Expanded abstracts of the 65th annual internet SEG meeting, 1995, 97-100.
[16]	Gersztenkorn, A., and K. J. Marfurt, 1996, Eigen structure based coherence computations [J], 66th Annual International Meeting, SEG, Expanded Abstracts, 328-331.
[17]	Gijs C Fehmers and Christian F W Hocker. Fast structural interpretation with structure-oriented filtering [J]. Geophysics, 2003, 68(4): 1286-1293.

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APA Style

Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, et al. (2018). A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. American Journal of Physics and Applications, 6(4), 97-103. https://doi.org/10.11648/j.ajpa.20180604.14

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ACS Style

Chen Zhigang; Tian Shuling; Sun Xing; Wang Yuzhu; Han Yuchun, et al. A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. Am. J. Phys. Appl. 2018, 6(4), 97-103. doi: 10.11648/j.ajpa.20180604.14

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AMA Style

Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, et al. A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. Am J Phys Appl. 2018;6(4):97-103. doi: 10.11648/j.ajpa.20180604.14

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@article{10.11648/j.ajpa.20180604.14,
  author = {Chen Zhigang and Tian Shuling and Sun Xing and Wang Yuzhu and Han Yuchun and Ma Hui and Chen Jie},
  title = {A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering},
  journal = {American Journal of Physics and Applications},
  volume = {6},
  number = {4},
  pages = {97-103},
  doi = {10.11648/j.ajpa.20180604.14},
  url = {https://doi.org/10.11648/j.ajpa.20180604.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20180604.14},
  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.},
 year = {2018}
}

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TY  - JOUR
T1  - A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering
AU  - Chen Zhigang
AU  - Tian Shuling
AU  - Sun Xing
AU  - Wang Yuzhu
AU  - Han Yuchun
AU  - Ma Hui
AU  - Chen Jie
Y1  - 2018/10/12
PY  - 2018
N1  - https://doi.org/10.11648/j.ajpa.20180604.14
DO  - 10.11648/j.ajpa.20180604.14
T2  - American Journal of Physics and Applications
JF  - American Journal of Physics and Applications
JO  - American Journal of Physics and Applications
SP  - 97
EP  - 103
PB  - Science Publishing Group
SN  - 2330-4308
UR  - https://doi.org/10.11648/j.ajpa.20180604.14
AB  - 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.
VL  - 6
IS  - 4
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, et al. (2018). A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. American Journal of Physics and Applications, 6(4), 97-103. https://doi.org/10.11648/j.ajpa.20180604.14

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ACS Style

Chen Zhigang; Tian Shuling; Sun Xing; Wang Yuzhu; Han Yuchun, et al. A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. Am. J. Phys. Appl. 2018, 6(4), 97-103. doi: 10.11648/j.ajpa.20180604.14

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AMA Style

Chen Zhigang, Tian Shuling, Sun Xing, Wang Yuzhu, Han Yuchun, et al. A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering. Am J Phys Appl. 2018;6(4):97-103. doi: 10.11648/j.ajpa.20180604.14

Copy | Download

@article{10.11648/j.ajpa.20180604.14,
  author = {Chen Zhigang and Tian Shuling and Sun Xing and Wang Yuzhu and Han Yuchun and Ma Hui and Chen Jie},
  title = {A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering},
  journal = {American Journal of Physics and Applications},
  volume = {6},
  number = {4},
  pages = {97-103},
  doi = {10.11648/j.ajpa.20180604.14},
  url = {https://doi.org/10.11648/j.ajpa.20180604.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajpa.20180604.14},
  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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - A Method of Enhancing Fault Delineation Based on Reflection Strength AC Component Filtering
AU  - Chen Zhigang
AU  - Tian Shuling
AU  - Sun Xing
AU  - Wang Yuzhu
AU  - Han Yuchun
AU  - Ma Hui
AU  - Chen Jie
Y1  - 2018/10/12
PY  - 2018
N1  - https://doi.org/10.11648/j.ajpa.20180604.14
DO  - 10.11648/j.ajpa.20180604.14
T2  - American Journal of Physics and Applications
JF  - American Journal of Physics and Applications
JO  - American Journal of Physics and Applications
SP  - 97
EP  - 103
PB  - Science Publishing Group
SN  - 2330-4308
UR  - https://doi.org/10.11648/j.ajpa.20180604.14
AB  - 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.
VL  - 6
IS  - 4
ER  -

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