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地层分布模型自匹配的剖面图动态生成算法

李晓娟 何育枫 王桂春 徐礼鹏 陈晔

物探与化探2017,Vol.41Issue(5):939-945,7.
物探与化探2017,Vol.41Issue(5):939-945,7.DOI:10.11720/wtyht.2017.5.22

地层分布模型自匹配的剖面图动态生成算法

Drill section algorithm based on auto-matching of stratigraphic distribution pattern

李晓娟 1何育枫 2王桂春 3徐礼鹏 3陈晔3

作者信息

  • 1. 南京大学 地理与海洋科学学院,江苏南京 210046
  • 2. 中国南海研究协同创新中心,江苏南京210093
  • 3. 江苏省地质勘查技术院,江苏南京210046
  • 折叠

摘要

Abstract

Traditional sectional view algorithm lacks accurate processing capability for such phenomena as pinch off,absence,and lenses of strata.The accuracy of the algorithm can hardly meet production requirements.To solve these problems,this paper proposes an auto-matching algorithm for building geological sectional view by stratigraphic distribution pattern.First,the project drilling data structure is built;then,based on the distribution of strata,the patterns of strata are defined and the section line growth policies and rules of each model are deduced.From left to right,from top to bottom,the sequence stratum pattern matching method is used;according to the problem as to which section line the stratum point belongs to is determined;finally,the section line sets of points are connected into the line,thus finishing map annotation and map decoration.The algorithm overcomes the problem of poor continuity existent in the traditional drilling adjacent connection method caused by the lack of consistency disadvantage.Stratum pattern auto-matching method achieves automatic section line growth and can wipe out stratum pinch off,stratum absence,stratum lens phenomenon accurately.Experiments show that the geological profile constructed algorithm can accurately and efficiently reflect the stratigraphic structure of the study area,and hence it is widely used in engineering production.

关键词

地质构造/钻孔剖面图/模型匹配/地层尖灭/地层缺失

Key words

geological structure/drill section/pattern matching/stratum pinch-out/stratum absence

分类

天文与地球科学

引用本文复制引用

李晓娟,何育枫,王桂春,徐礼鹏,陈晔..地层分布模型自匹配的剖面图动态生成算法[J].物探与化探,2017,41(5):939-945,7.

基金项目

江苏省地质矿产勘查局"BIM技术在矿山地质环境治理工程设计中的应用与研究”项目(2014-KY-16) (2014-KY-16)

物探与化探

OA北大核心CSCDCSTPCD

1000-8918

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