摘要
应用模式识别与人工智能技术解决剖面图同相轴的自动追踪问题,是目前地震勘探资料自动解释中所研究的主要问题之一.本文提出了一种区别于文献[1,2]的新的AR自动追踪方法,首次应用AR模型描述同相轴,在一种特定的数据结构和搜索策略下实现了同相轴的AR自动追踪.与已有的研究结果相比,该方法能修补断点,保持同相轴的连续性;对尖灭和断层给出了有参考价值的结果;并显示以同相轴划分的大致层位.该方法在结构上还有引入知识的接口,从而提供了实现智能追踪的可能性.
The problem of automatically tracking the sync-phase axis on the seismic cross-section images via pattern recognition and AI approaches is one of the major topics in seismic data explanation. This paper presents a methol which employs AR model to represent the sync-phase axis and track the axis automatically by a special data structure and searching technique. Compared with the results described in [1] and [2], this method is capable of repairing the broken points, thus keeping the continuity of the axis. It can also provide useful information about the ends of the axis as well as the broken strata and their locations. The structure of the proposed system can be provided with an interface for knowledge input, thus making it possible to track intelligently.
出处
《自动化学报》
EI
CSCD
北大核心
1991年第3期359-362,共4页
Acta Automatica Sinica
基金
国家自然科学基金
关键词
地震图
剖面图
同相轴
模式识别
Seismic section
seismic signal processing
rock base floor
