期刊文献+

三维地层建模钻孔数据预处理研究 被引量:24

Study of preprocessing of drilling data for building 3D strata model
原文传递
导出
摘要 钻孔数据是三维地层建模的主要数据来源之一,在三维地层建模中,地层界面一般基于钻孔数据插值而成,正确处理钻孔数据是构建理想三维地层模型的前提和基础。三维地层拓扑关系极其复杂,地层界面插值数据在数学上选择也不是惟一的,因此,常导致构建地层模型出现与事实相悖的情形。针对这一点,根据地层地质演变历史,建立地层层序序列,此序列记录地层地质年代顺序及其拓扑关系。根据地层地质特征,可将地层拓扑关系概化为两类:"覆盖"和"侵蚀"。据此地层层序序列可惟一确定地层界面插值数据,从而构建正确地层模型。采用python语言实现了该钻孔数据预处理算法,实例表明,该预处理方案能正确地预测实际地层。 Drilling data is one of main sources for building 3D strata model. Usually the stratigraphic interfaces are constructed by interpolation based on drilling data. Processing drilling data accurately is the basic premise of building realistic 3D strata model. Because the option of the interpolation data of the stratigraphic interfaces is not unique mathematically, the complex topological relationships of the strata usually result in the condition that the building 3D strata model is not realistic. In order to gain unique and realistic interpolation data, a stratigraphic column, which records the chronological order of the strata and their topological relationships, is defined in accordance with geological history. The topological relationships of the strata are generalized into two classes: either 'onlap' or 'erosion'. According to the stratigraphic column, the unique interpolation data of the stratigraphic interfaces can be determined and then be used to build realistic 3D strata model. Python is used to implement the algorithm of the preprocessing of drill data. The examples prove that the project can validly forecast realistic strata.
出处 《岩土力学》 EI CAS CSCD 北大核心 2012年第4期1223-1226,1239,共5页 Rock and Soil Mechanics
关键词 钻孔数据 地层层序序列 地质年代顺序 地层拓扑关系 drilling data stratigraphic column chronological order topological relationships of strata
  • 相关文献

参考文献4

二级参考文献26

  • 1宋子岭 白润才 谢雨治.Vulcan软件在我国露天矿应用前景.辽宁工程技术大学学报,2001,20(2):344-347.
  • 2JolliffeI T. Principal Component Analysis[M]. Heidelberg:Springer-Veriag, 1986.
  • 3Syed A Rizvi, Nasser M Nasrabadi. A modular clutter rejection technique for FLIR imagery using region-based principal component analysis[J]. Pattern Recognition,2002, 35:2 895-2 904.
  • 4Jones T A. Modeling geology in Three dimensions [J].Geobyte, 1988, 3(1): 14-20.
  • 5Kelk B. 3-D modelingwith geoscientific information systems: the problem[A]. In: Turmer A K(ed).Three-Dimensional Modeling with Geoscienticfic Information Systems[C]. Dordrcht:Kluwer Academic Publishers, 1992: 29-37.
  • 6Oliver M A, Wedster R Kriging: a Method of interpolation for geographical information system[J].Geographical Information Systems, 1990, 4, (3): 313-332.
  • 7Richard S Gallagher. Computer Visualization: Graphics Techniques for Engineering and Scientific Analysis[M].Florida: Solomon Press CRC Press. 1994.
  • 8Shani U, Ballard P H. Spliner as embeddings for generalized cylinders[J]. Computer Vision, Graphics and Image Processing, 1984, 27: 129- 156.
  • 9Renard P, Courrioux G. Three-dimensional geometry mde ling of a faulted domain: the south horst example[J].Computers and Geosciences, 1994, 20(9):1 379-1 390.
  • 10Blum. H Shape description using weighted symmetric axis eeatures[J]. Pattern Recognition. 1978, 10(3): 167- 180.

共引文献82

同被引文献260

引证文献24

二级引证文献154

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部