| CHEN Lei(陈 雷)*,SHI Jiaqi*,ZHANG Ting**.[J].高技术通讯(英文),2023,29(4):406~415 |
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| A fault recognition method based on clustering linear regression |
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| DOI： |
| 中文关键词: |
| 英文关键词: fault recognition, clustering, linear regression, curve fitting, seismic interpretation |
| 基金项目: |
| Author Name | Affiliation | | CHEN Lei(陈 雷)* | (*Computer School, Beijing Information Science and Technology University, Beijing 100101, P. R. China)
(**Faculty of Information Technology, Beijing University of Technology, Beijing 100124, P. R. China) | | SHI Jiaqi* | | | ZHANG Ting** | |
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| 中文摘要: |
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| 英文摘要: |
| Aiming at the problems of low accuracy, long time consumption, and failure to obtain quantitative
fault identification results of existing automatic fault identification technic, a fault recognition
method based on clustering linear regression is proposed. Firstly, Hough transform is used to detect
the line segment of the enhanced image obtained by the coherence cube algorithm. Secondly, the
endpoint of the line segment detected by Hough transform is taken as the key point, and the adaptive
clustering linear regression algorithm is used to cluster the key points adaptively according to the linear
relationship between them. Finally, a fault is generated from each category of key points based
on least squares curve fitting method to realize fault identification. To verify the feasibility and progressiveness
of the proposed method, it is compared with the traditional method and the latest method
on the actual seismic data through experiments, and the effectiveness of the proposed method is
verified by the experimental results on the actual seismic data. |
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