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Best practice stochastic facies modeling from a channel-fill turbidite sandstone analog (the Quarry outcrop, Eocene Ainsa basin, northeast Spain)

机译:最佳实践的随机相模拟,来自通道填充的浊质砂岩类似物(西班牙东北始新世艾因盆地的采石场露头)

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摘要

Using data from an outcrop characterization of a sandstone-rich turbidite channel fill (the so-called "Quarry outcrop" in the Ainsa basin), several stochastic facies models were constructed at bed-scale resolution (cells 2.5 m [8 ft] wide and 0.05 m [2 in.] thick). Several industry-standard reservoir-modeling algorithms were employed: truncated Gaussian simulation, sequential indicator simulation, multiple-point geostatistics, and object-based methods with varying degrees of complexity. The degree of similarity (i.e., realism) between realizations and the outcrop characterization was quantified through the use of several responses: (1) static connectivity, (2) effective permeability, and (3) recovery efficiency from waterflood simulations.
机译:使用来自富含砂岩的 浊积河道充填的露头表征数据( Ainsa盆地中的所谓“ Quarry露头”),构造了几种随机相模型。 sup> 以床规模的分辨率(像元2.5 m [8 ft]宽,厚度为0.05 m [2 in。])。使用了几种行业标准的储层建模算法 :截断的高斯模拟,连续的 指示符模拟,多点地统计和基于对象的 方法具有不同程度的复杂性。实现和露头特征 之间的相似度 (即现实主义)通过使用以下几种响应进行量化:(1)静态 连接性,(2)有效渗透率和(3)水驱模拟中的采收率

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  • 来源
    《AAPG Bulletin》 |2006年第7期|1003-1029|共27页
  • 作者单位

    Geomodels-3D Geological Modeling CER-Group of Geodynamics and Basin Analysis, Facultat de Geologia, Universitat de Barcelona, Barcelona, Spain oriolfalivene@ub.edu;

    Geomodels-3D Geological Modeling CER-Group of Geodynamics and Basin Analysis, Facultat de Geologia, Universitat de Barcelona, Barcelona, Spain;

    Institute of Petroleum Engineering, Heriot-Watt University (Edinburgh), Edinburgh, Scotland, United Kingdom;

    Institute of Petroleum Engineering, Heriot-Watt University (Edinburgh), Edinburgh, Scotland, United Kingdom;

    Geomodels-3D Geological Modeling CER-Group of Geodynamics and Basin Analysis, Facultat de Geologia, Universitat de Barcelona, Barcelona, Spain;

    Geomodels-3D Geological Modeling CER-Group of Geodynamics and Basin Analysis, Facultat de Geologia, Universitat de Barcelona, Barcelona, Spain;

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