基于多点地质统计学多数据联合约束的岩相模拟
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摘要
传统的两点地质统计学随机模拟方法基于变差函数,无法再现复杂的地质结构,多点地质统计学利用空间多个点的组合模式来描述地质结构信息,更适合复杂结构地质体的模拟。首先介绍了多点地质统计学的基本概念和方法;然后提出了一种多数据联合约束的多点地质统计学随机模拟方法,并通过模型验证了方法的特点和有效性;最后以该方法为基础,联合训练图像、测井数据和地震反演数据,实现了多数据约束下的东营凹陷沙三段地层中三角洲浊积岩沉积区的岩相模拟,取得了较好的应用效果。
Conventional two-point geostatistics(TPG)simulation algorithms,limited to the reproduction of two-point statistics,such as a variogram model,cannot reproduce complex geological structures.The emerging multiple-point geostatistics(MPG)can simulate complicated geological sedimentary characteristics using multiple-point relations.Firstly,basic concept and method of MPG are introduced in the paper.Secondly,a multiple data constraints stochastic simulation is proposed based on the existing algorithms,and its effectiveness is verified by model data.Finally,using training images,well logging data,and seismic inversion data,multiple data joint multiple-points geostatistics lithofacies simulation of Dongying delta is realized based on this algorithm.The proposed method can produce good results and is beneficial for further application.
引文
[1]Bohling G.Introduction to geostatistics and variograms analysis[R/OL].http://people.ku.edu/~gbohling/cpe940.
    [2]Deutsch C,Journel A.GSLIB:Geostatistical Software Library.Oxford:Oxford University Press,1998.
    [3]印兴耀,刘永社.储层建模中地质统计学整合地震数据的方法及研究进展.石油地球物理勘探,2002,37(4):423-430.Yin Xingyao,Liu Yongshe.Methods and development of integrating seismic data in reservoir modelbuilding.OGP,2002,37(4):423-430.
    [4]Arpat B G.Sequential Simulation with Patterns[D].Stanford:Stanford University,2005.
    [5]Guardiano F,Srivastava R M.Multivariate Geostatistics:Beyond Bivariate Moments.In Soares A.Geostatistics-Troia.Kluwer Academic Publications,1993,1:133-144.
    [6]尹艳树,张昌民,李玖勇等.多点地质统计学研究进展与展望.古地理学报,2011,13(2):245-252.Yin Yanshu,Zhang Changmin,Li Jiuyong.Progress and prospect of multiple-point geostatistics.Journal of Palaeogeography,2011,13(2):245-252.
    [7]吴胜和,李文克.多点地质统计学——理论、应用与展望.古地理学报,2005,7(1):137-144.Wu Shenghe,Li Wenke.Multiple-point geostatistics:theory,application and perspective.Journal of Palaeogeography,2005,7(1):137-144.
    [8]Bosch M,Mukerji T,González E F.Seismic inversion for reservoir properties combining statistical rock physics and geostatistics:A review.Geophysics,2010,75(5):A165-A176.
    [9]González E F,Mukerji T,Mavko G.Seismic inversion combining rock physics and multiple-point geostatistics.Geophysics,2008,73(1):R11-R21.
    [10]马灵伟,顾汉明,赵迎月等.应用随机介质正演模拟刻画深水区台缘礁碳酸盐岩储层.石油地球物理勘探,2013,48(4):583-590.Ma Lingwei,Gu Hanming,Zhao Yingyue et al.Sculpturing platform-edge reef carbonate reservoirs in deep-water with random media forward modeling.OGP,2013,48(4):583-590.
    [11]文晓涛,贺振华,黄德济等.基于值域变换的地质异常体突出显示.石油地球物理勘探,2011,46(1):110-114.Wen Xiaotao,He Zhenhua,Huang Deji et al.Highlighting display of geological anomaly body based on range transform.OGP,2011,46(1):110-114.
    [12]Strebelle S.Sequential Simulation Drawing Structures from Training Images[D].Stanford:Stanford University,2000.
    [13]Strebelle S.Conditional simulation of complex geological structures using multiple-point statistics.Mathematical Geology,2002,34(1):1-21.
    [14]Arpat B G,Caers J.Conditional simulation with patterns.Mathematical Geology,2007,39(2):177-203.
    [15]Arpat B G.A multiple-scale pattern-based approach to reservoir characterization.SPE Annual Technical Conference,2003:1-10.
    [16]Zhang T,Switzer P,Journel A G.Filter-based classification of training image patterns for spatial simulation.Mathematical Geology,2006,38(1):63-80.
    [17]Liu Y H.Downscaling Seismic Data into a Geological Sound Numerical Model[D].Stanford:Stanford University,2003.
    [18]Lindley V.Introduction to Probability and Statistics from a Bayesian Viewpoint[M].London:Cambridge University Press,1965.
    [19]盛骤,谢式千,潘承毅.概率论与数理统计(第二版).北京:高等教育出版社,1989.
    [20]杨培杰,印兴耀,张广智.模糊C均值地震属性聚类分析.石油地球物理勘探,2007,42(3):322-324.Yang Peijie,Yin Xingyao,Zhang Guangzhi.Cluster analysis of seismic attributes by fuzzy mean algorithm.OGP,2007,42(3):322-324.
    [21]Duda O,Hart P,Stork D.Pattern Classification.New York:John Wiley&Sons Inc,2001.
    [22]Journel A.Combining knowledge from diverse sources:an alternative to traditional data independence hypotheses.Mathematical Geology,2002,34(5):573-596.

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