A 3D organized point cloud clustering algorithm for seismic fault data based on region growth-Reference-Cited by-同舟云学术

A 3D organized point cloud clustering algorithm for seismic fault data based on region growth

Published:2023-10-26 Issue:6 Volume:27 Page:1165-1181
ISSN:1420-0597
Container-title:Computational Geosciences
language:en
Short-container-title:Comput Geosci

Author:

Zhao Lihong,Cai Minghao,Ding Renwei^ORCID,Zhang Yujie,Zhao Shuo,Zhang Jinwei,Yang Jing

Funder

Major Research Plan on West-Pacific Earth System Multispheric Interactions

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s10596-023-10259-6.pdf

Reference62 articles.

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2. Gersztenkorn, A., Marfurt, K.J.: Eigenstructure-based coherence computations as an aid to 3-D structural and stratigraphic mapping. Geophysics 64(5), 1468–1479 (1999). https://doi.org/10.1190/1.1444651

3. Marfurt, K.J., Lynn Kirlin, R., Farmer, S.L., Bahorich, M.S.: 3-D seismic attributes using a semblance-based coherency algorithm. Geophysics 63(4), 1150–1165 (1998). https://doi.org/10.1190/1.1444415

4. Zhang, J., Wang, Y., Zhao, Y.: Application of the third generation of coherent cube in recognizing faults and fractures. Acta Seismol. Sin. no. 05, 560–564+567 (2004)

5. Mi, C., Sun, Y., Zhou, H.: The application of C3 coherence algorithm in fault identification of Ningbo Tectonic Zone. Inner Mongolia Petrochemical Industry 41(09), 125–129 (2015)