地震剖面线条化的一种简单算法

郭良辉; 孟小红; 薛爱民

地震剖面线条化的一种简单算法

郭良辉^{1, 2,},
孟小红^{1, 2},
薛爱民³

1.
地质过程与矿产资源国家重点实验室和地下信息探测技术与仪器教育部重点实验室, 北京 100083
2.
中国地质大学地球物理与信息技术学院, 北京 100083
3.
北京派特森科技发展有限公司, 北京 100083

基金项目:

“油气藏地质及开发过程”国家重点实验室开放基金项目 NoPLC200503

北京市重点学科“地球探测与信息技术 XK104910598

详细信息

作者简介:
郭良辉(1980-), 男, 硕士研究生, 从事勘探地球物理科研工作.E-mail: guo_lianghui@163.com

中图分类号: P315.69
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- 被引次数: 0
出版历程
- 收稿日期: 2007-04-12
- 刊出日期: 2007-07-25

A Simple Algorithm for Seismic Skeletonization

1.
State Key Laboratory of Geological Processes and Mineral Resources；Geo-detection Laboratory of the Ministry of Education, Beijing 100083, China
2.
School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China
3.
Beijing Petrosound Geoservices Limited Corporation, Beijing 100083, China

摘要

摘要: 地震剖面线条化是应用模式识别方法自动追踪剖面中的同相轴, 并自动绘制线条图.首先探测地震道中的周波, 并描述周波属性, 然后根据相邻三道周波相关的目标函数最小原则追踪同相轴, 描述同相轴属性, 并记录同相轴属性表.根据同相轴属性表, 可对地震剖面进行基于同相轴属性的统计分析和滤波以及定量解释.本文对现有的地震剖面线条化方法进行了改进简化, 实现地震剖面同相轴快速自动追踪和自动绘制线条图.合成数据和实际数据试验表明该方法计算简单、快速、有效.
- 地震剖面 /
- 同相轴 /
- 自动追踪 /
- 模式识别 /
- 线条化
Abstract: Seismic skeletonization is a pattern recognition method that is used to automatically track seismic events and produce an automatic line drawing. By using this method, the cycles in every seismic trace are first detected and the attributes of cycles are characterized. Then the seismic events are tracked based on the minimum of cost function of cycle correlation in three neighbor traces, and the attributes of events are characterized, and the attributes are kept track of in a catalog, according to which, one can perform attribute-based analysis and data filtering and quantitatively interpretation. In this paper, the previous seismic skeletonization is modified and simplified and an quick automatic tracking of events and line drawing can be realized. The experiments on the synthetic data and the raw data show that the modified method is more efficient facilitates the calculation.
- seismic profile /
- event /
- automatically tracking /
- pattern recognition /
- skeletonization

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图 1 周波及其属性(a) 和同相轴追踪示意图(b)

Fig. 1. Cycle and its attributes (a) and sketch map of event tracking (b).

下载: 全尺寸图片幻灯片

图 2 合成记录线条化结果

a.合成记录; b.无同相轴属性滤波的线条图; c.同相轴方向滤波后的线条图

Fig. 2. The results of seismic skeletonization of synthetic data

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图 3 实际地震剖面线条化结果

a.实际地震剖面; b.无同相轴属性滤波的线条图; c.同相轴长度N≥10滤波后的线条图; d.同相轴长度N≥20和方向0≤α < 90°滤波后的线条图

Fig. 3. The results of seismic skeletonization of raw data

下载: 全尺寸图片幻灯片

参考文献(5)

Eaton, D., Vasudevan, K., 2004. Skeletonization of aeromagnetic data. Geophysics, 69 (2): 478-488. doi: 10.1190/1.1707068
Le, L. H. T., Nyland, E., 1990. Pattern analysis of seismic records. Geophysics, 55 (1): 20-28. doi: 10.1190/1.1442768
Li, Q., Vasudevan, K., Cook, F. A., 1997. Seismic skeletonization: A new approach to interpretation of seismic reflection data. Journal of Geophysical Research, 102 (4): 8427-8445. doi: 10.1029/96JB03112
Lu, S. Y., 1982. A string-to-string correlation algorithm for image skeletonization. Proc. Int. Joint Conf. Pattern Recognition. Munich, 178-180.
Lu, S. Y., Cheng, Y. C., 1990. An iterative approach to seismic skeletonization. Geophysics, 55 (10): 1312-1320. doi: 10.1190/1.1442778