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结合Markov模型和COSGSIM的插值方法 被引量:3

An Interpolation Method Using the Markov Model and COSGSIM
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摘要 针对协同序贯高斯模拟在确定插值公式中的权值时出现的交叉矩阵不稳定问题,提出一种基于Markov模型和协同序贯高斯模拟的插值方法.利用Markov模型的屏蔽效应,假设待模拟硬数据可以屏蔽其位置以外的硬数据对待模拟位置处软数据的影响,对协同序贯高斯模拟进行逼近时只保留与待模拟硬数据同位置的软数据,而不考虑其他位置的软数据,从而解决了交叉矩阵不稳定的问题.实验结果证明,该方法插值误差小,模拟效果好. An interpolation method exploiting both the Markov model and sequential Gaussian co-simulation(COSGSIM) is proposed to solve the instability of cross matrix when determining the weights of the interpolation equation in COSGSIM.According to the hypothesis of screening effect provided by a Markov model,the hard datum to be simulated screens the influence of any other hard data on the soft datum at the same location.Therefore,the instability of cross matrix can be dissolved by preserving only the soft datum that has the same location with the hard datum to be simulated,while ignoring the impact by other soft data when approximating the COSGSIM.Experimental results show that the deviation is small and the simulated result is good.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2010年第10期1715-1720,共6页 Journal of Computer-Aided Design & Computer Graphics
基金 浙江省自然科学基金(Y1080379) 浙江省教育厅科研项目(Y200803026) 浙江广播电视技术研究所科研项目
关键词 插值 协同序贯高斯模拟 MARKOV模型 简单克里格 全局协同克里格 interpolation sequential Gaussian co-simulation Markov model simple Kriging full cokriging
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参考文献10

  • 1LU DeTang1,2,3, ZHANG Ting1,2,3, YANG JiaQing1,2,3, LI DaoLun1,2,3 & KONG XiangYan1,2,3 1 Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China,2 Research Center of Oil and Natural Gas, University of Science and Technology of China, Hefei 230027, China,3 Key Laboratory of Software in Computing and Communication of Anhui Province, University of Science and Technology of China, Hefei 230027, China.A reconstruction method of porous media integrating soft data with hard data[J].Chinese Science Bulletin,2009,54(11):1876-1885. 被引量:17
  • 2ZHANG Ting 1,2,3, LI DaoLun 1,2 , LU DeTang 1,2 & YANG JiaQing 1,2 1 Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China,2 Research Center of Oil and Natural Gas, University of Science and Technology of China, Hefei 230027, China,3 The 28th Research Institute, China Electronics Technology Group Corporation, Nanjing, 210007, China.Research on the reconstruction method of porous media using multiple-point geostatistics[J].Science China(Physics,Mechanics & Astronomy),2010,53(1):122-134. 被引量:10
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二级参考文献10

共引文献22

同被引文献22

  • 1ZHANG Ting 1,2,3, LI DaoLun 1,2 , LU DeTang 1,2 & YANG JiaQing 1,2 1 Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China,2 Research Center of Oil and Natural Gas, University of Science and Technology of China, Hefei 230027, China,3 The 28th Research Institute, China Electronics Technology Group Corporation, Nanjing, 210007, China.Research on the reconstruction method of porous media using multiple-point geostatistics[J].Science China(Physics,Mechanics & Astronomy),2010,53(1):122-134. 被引量:10
  • 2徐琳.三角形域上的超限插值方法[J].软件学报,2007,18(2):430-441. 被引量:10
  • 3Eulogio P I, Peter M A. Modelling the semivariograms and eross-semivariograms required in downsealing cokriging by numerical eonvolution-deconvolution [J]. Computers Geoseiences, 2007, 33(2) : 1273-1284.
  • 4Strebelle S. Conditional simulation of complex geological structures using multiple-point statistics [J]. Mathematical Geology, 2002, 34(1): 1-21.
  • 5Journel A G. Markov models for cross-covariances [J]. Mathematical Geology, 1999, 31(8): 955-964.
  • 6Shmaryan L E, Journel A G. Two Markov models and their application [J]. Mathematical Geology, 1999, 31(8) ~ 965- 988.
  • 7Wu J B. 4D Seismic and multiple-point pattern data integration using geostatistics [D]. Stanford, California: Stanford University, 2007.
  • 8Remy N, Boucher A, Wu J B. Applied Geostatistics with SGeMS: A Users' Guide [M]. Cambridge: CambridgeUniversity Press, 2009:100-120.
  • 9潘日晶.满足数据点切向约束的二次B样条插值曲线[J].计算机学报,2007,30(12):2132-2141. 被引量:12
  • 10LU DeTang1,2,3, ZHANG Ting1,2,3, YANG JiaQing1,2,3, LI DaoLun1,2,3 & KONG XiangYan1,2,3 1 Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China,2 Research Center of Oil and Natural Gas, University of Science and Technology of China, Hefei 230027, China,3 Key Laboratory of Software in Computing and Communication of Anhui Province, University of Science and Technology of China, Hefei 230027, China.A reconstruction method of porous media integrating soft data with hard data[J].Chinese Science Bulletin,2009,54(11):1876-1885. 被引量:17

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