Horizon picking in 3D seismic data volumes

被引：38
|
作者：
Faraklioti, M
Petrou, M [1 ]
机构：
[1] Univ Surrey, Sch Elect & Phys Sci, Guildford GU2 7XH, Surrey, England
[2] CERTH, Inst Telemat & Informat, Thessaloniki 57001, Greece
来源：
MACHINE VISION AND APPLICATIONS | 2004年 / 15卷 / 04期
关键词：
3D seismic data; horizon picking; surface detection;
D O I：
10.1007/s00138-004-0151-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an automatic horizon-picking algorithm, based on a surface detection technique, to detect horizons in 3D seismic data. The surface detection technique, and the use of 6-connectivity, allows us to detect fragments of horizons that are afterwards combined to form full horizons. The criteria of combining the fragments are similarity of orientation of the fragments, as expressed by their normal vectors, and proximity using 18-connectivity. The identified horizons are interrupted at faults, as required by the experts.
引用
收藏
页码：216 / 219
页数：4
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