期刊文献+

基于指示和普通克里金的不连续地层厚度估计方法 被引量:21

A combined indicator-ordinary Kriging method for estimating thicknesses of discontinuous geological strata
原文传递
导出
摘要 因为克里金插值方法考虑了样本的空间统计特征而被广泛应用于地层建模。但对于地层尖灭、缺失等不连续地层情况,常用的克里金方法(如普通克里金方法)通常给出较为平滑的地层厚度估计结果,在地层分布边缘的局部范围内与实际情况相差较大。针对不连续地层,提出一种采用指示克里金和普通克里金相结合的地层厚度估计方法。该方法首先采用指示克里金方法估计地层分布范围,然后采用普通克里金方法估计分布范围内的地层厚度,并根据估计标准差来评价地层厚度的不确定性。将提出的方法应用于上海长江隧道的地层建模,通过交叉验证,证明了该方法在地层分布边缘的局部范围内能明显改善地厚度估计结果,标准差降低了15%~18%,得到了比普通克里金和线性插值方法更接近真实情况的地层厚度估计值。 Kriging interpolation methods are widely applied to geological modeling because spatial characteristics of borehole samples are considered by using geostatistics. However, most commonly used Kriging techniques (e.g. the ordinary Kriging method) produce smoothed estimation results, those will lead to an inaccurate regionalization of discontinuous geological stratum around zero value zones, such as pinch-out stratum or stratum with missing segments in some areas. In this paper, a combined indicator-ordinary Kriging method is presented to estimate thicknesses of discontinuous geological stratum. In this method, the estimation of stratum thickness is divided into two steps. Firstly, the indicator Kriging method is used to estimate the distributed area of a geological stratum. Secondly, the ordinary Kriging method is employed to estimate the thicknesses of the geological layer in the distributed area. In addition, a standard error is obtained to evaluate the estimation uncertainty of stratum thickness. The proposed method is applied to estimate the thickness of geological stratum in the Shanghai Yangtze River tunnel project. Through cross validations, the case study shows that the proposed method improves the estimation results by reducing the standard deviation by 15%to 18%, and produces more accurate estimates of thickness of discontinuous geological stratum around zero value zones than that given by the ordinary Kriging method and conventional linear interpolation method.
出处 《岩土力学》 EI CAS CSCD 北大核心 2014年第10期2881-2887,共7页 Rock and Soil Mechanics
基金 国家自然科学基金资助项目(No.41272289) 国家重点基础研究发展计划(No.2011CB013800) 十二五科技支撑计划(No.2012BAJ01B02)
关键词 指示克里金 普通克里金 不确定性 地层厚度估计 indicator Kriging ordinary Kriging uncertainty estimation of geological stratum thickness
  • 相关文献

参考文献16

  • 1DE MESNARD L. Pollution models and inverse distance weighting: Some critical remarks[J]. Computers & Geoseiences, 2013, 52: 459-469.
  • 2XIE Y F, CHEN T B, LEI M, et al. Spatial distribution of soil heavy metal pollution estimated by differentinterpolation methods: Accuracy and uncertainty analysis[J]. Chemosphere, 2011, 82(3): 468-476.
  • 3MENG Q, LIU Z, BORDERS B E. Assessment of regression Kriging for spatial interpolation-comparisons of seven GIS interpolation methods[J]. Cartography and Geographic Information Science, 2013, 40(1): 28-39.
  • 4孙强,薛雷,王媛媛.克里金参数估值法及其在参数估计分析中的应用[J].岩土力学,2009,30(S2):371-373. 被引量:7
  • 5周小文,付晖,吴昌瑜.地层特性随机场插值方法应用研究[J].岩土力学,2005,26(2):221-224. 被引量:20
  • 6李晓军,王长虹,朱合华.Kriging插值方法在地层模型生成中的应用[J].岩土力学,2009,30(1):157-162. 被引量:58
  • 7KAMBHAMMETTU B, ALLENA P, KING J P. Application and evaluation of universal Kriging for optimal contouring of groundwater levels[J]. Journal of Earth System Science, 2011,120(3): 413-422.
  • 8ALTMAN N. Krige, smooth, both or neither? (with discussion)[J]. Austrafian & New Zealand Journal of Statistics, 2000, 42(4): 441-461.
  • 9GIRALDO R, DELICADO P, MATEU J. Ordinary Kriging for function-valued spatial data[J].Environmental and Ecological Statistics, 2011, 18(3): 411 -426.
  • 10NUNES R, ALMEIDA J A. Parallelization of sequential Gaussian, indicator and direct simulation algorithms[J]. Computers & Geosciences, 2010, 36(8): 1042-1052.

二级参考文献61

共引文献123

同被引文献297

引证文献21

二级引证文献177

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