IGGCAS OpenIR  > 岩石圈演化国家重点实验室
Automatic first-arrival picking method based on an image connectivity algorithm and multiple time windows
Pan, Shulin1,2; Qin, Ziyu1; Lan, Haiqiang3,4; Badal, Jose5
2019-02-01
Source PublicationCOMPUTERS & GEOSCIENCES
ISSN0098-3004
Volume123Pages:95-102
AbstractThe use of a computer to automatically pick the first-arrival of a seismic signal is an operation that involves picking and screening the first arrival of the wave according to the criteria established in the manual picking process. To increase the picking accuracy for data with low-to-moderate signal-to-noise ratio (SNR), we propose a new single-trace boundary detection algorithm. This algorithm includes three steps: (1) calculate the first arrival characteristic values through multi time windows; (2) take the times corresponding to the maximum characteristic values given by different time windows as intermediate results; (3) compare the intermediate results: if the difference is too large, it is marked the time is abnormal, otherwise the average time of the intermediate results is taken as the first-arrival time. Using this energy boundary detection method, the characteristic values obtained are bi-directionally expanded to allow the use of the trace connectivity algorithm which is improved from the region growing method. Determining the connectivity between the first-arrival characteristic values is a way to simulate how the human eye discriminates true first arrivals. This method significantly improves the elimination of false or abnormal first-arrivals. Next, a small-step fitting algorithm is applied to the remaining first-arrival characteristic values to complete the calculation of the final characteristic values. Based on the retained first-arrival characteristic values, the missing values are assigned by interpolation. The characteristic values are mapped on the original record and finally the first-arrival picking is completed using a small time window. Theoretical results as well as the results obtained from real data demonstrate that the proposed automatic first-arrival picking method effectively improves the accuracy of the first-arrival picking. Finally, the new picking algorithm is presented more efficient than the energy ratio method, as well as cross correlation method.
KeywordFirst-arrival picking Image connectivity algorithm Multi time windows Interpolation
DOI10.1016/j.cageo.2018.12.001
Funding OrganizationOpen Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS Keyword1ST ARRIVAL PICKING
Language英语
Funding ProjectOpen Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation[PLN201733] ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province[2015trqdz03] ; National Natural Science Foundation of China[NSFC 41674095] ; State Key Laboratory of Lithospheric Evolution[SKL-YT201802] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2015051]
Funding OrganizationOpen Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; Open Projects Fund of the Natural Gas and Geology Key Laboratory of Sichuan Province ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; State Key Laboratory of Lithospheric Evolution ; State Key Laboratory of Lithospheric Evolution ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS Research AreaComputer Science ; Geology
WOS SubjectComputer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS IDWOS:000461267600010
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/90898
Collection岩石圈演化国家重点实验室
Corresponding AuthorLan, Haiqiang
Affiliation1.Southwest Petr Univ, Sch Earth Sci & Technol, Chengdu 610500, Sichuan, Peoples R China
2.Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu 610500, Sichuan, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing 100029, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Univ Zaragoza, Phys Earth, Sci B, Pedro Cerbuna 12, E-50009 Zaragoza, Spain
Recommended Citation
GB/T 7714
Pan, Shulin,Qin, Ziyu,Lan, Haiqiang,et al. Automatic first-arrival picking method based on an image connectivity algorithm and multiple time windows[J]. COMPUTERS & GEOSCIENCES,2019,123:95-102.
APA Pan, Shulin,Qin, Ziyu,Lan, Haiqiang,&Badal, Jose.(2019).Automatic first-arrival picking method based on an image connectivity algorithm and multiple time windows.COMPUTERS & GEOSCIENCES,123,95-102.
MLA Pan, Shulin,et al."Automatic first-arrival picking method based on an image connectivity algorithm and multiple time windows".COMPUTERS & GEOSCIENCES 123(2019):95-102.
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