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应用地球物理  2018, Vol. 15 Issue (1): 118-124    DOI: 10.1007/s11770-018-0655-z
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基于多道约束的槽波波至时间自动拾取方法研究
王保利
中煤科工集团西安研究院有限公司,西安 710077
Automatic pickup of arrival time of channel wave based on multi-channel constraints
Wang Bao-Li1
1. Xi’an Research Institute of China Coal Technology & Engineering Group, Xi’An 710077, China.
 全文: PDF (810 KB)   HTML ( KB)   输出: BibTeX | EndNote (RIS)      背景资料
摘要 槽波地震数据处理中槽波波至时间的自动拾取是非常重要的一步,拾取的精度直接影响到槽波地震勘探的精度和效果。由于通常槽波数据信噪比低、槽波波列长、强频散特性等使得常规单道拾取的波至时间光滑性差,影响CT反演精度。本文提出了基于多道约束的槽波波至时间自动拾取方法,该方法通过计算两条射线路径吉卡德相似系数作为多道频散谱叠加时的约束权值,提高了槽波波至时间的拾取精度。实际数据处理试验表明:该方法改进了频散谱质量,能自动拾取高精度的槽波波至时间,提高了槽波数据CT反演精度。
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关键词槽波   频散分析   多道约束   吉卡德相似指数   波至拾取     
Abstract: Accurately detecting the arrival time of a channel wave in a coal seam is very important for in-seam seismic data processing. The arrival time greatly affects the accuracy of the channel wave inversion and the computed tomography (CT) result. However, because the signal-to-noise ratio of in-seam seismic data is reduced by the long wavelength and strong frequency dispersion, accurately timing the arrival of channel waves is extremely difficult. For this purpose, we propose a method that automatically picks up the arrival time of channel waves based on multi-channel constraints. We first estimate the Jaccard similarity coefficient of two ray paths, then apply it as a weight coefficient for stacking the multi-channel dispersion spectra. The reasonableness and effectiveness of the proposed method is verified in an actual data application. Most importantly, the method increases the degree of automation and the pickup precision of the channel-wave arrival time.
Key wordsseismic channel wave   dispersion   multi-channel constraint   Jaccard similarity coefficient   arrival time picking   
收稿日期: 2017-10-31;
基金资助:

本研究由国家重大科技专项第十三五计划(编号:2016ZX05045003-005)资助。

引用本文:   
. 基于多道约束的槽波波至时间自动拾取方法研究[J]. 应用地球物理, 2018, 15(1): 118-124.
. Automatic pickup of arrival time of channel wave based on multi-channel constraints[J]. APPLIED GEOPHYSICS, 2018, 15(1): 118-124.
 
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