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3D 10 0MHz探地雷达 (GPR)数据体是在犹他州中东部Ferron砂岩中现场描述河流相储层特征的基础。我们用GPR反射时间 ,通过 3D速度估计和深度偏移 ,对边界曲面成像。同时利用 3D振幅属性生成一个从地表到地下 12m深的关于内部构造的大小、方位和几何形状的地质统计模型。通过克里金法和从GPR数据导出的 3D相关结构对每种沉积学因素赋予一个实际的流体渗透率分布 ,并以岩心中及附近悬崖壁提取的岩栓中实测的渗透率对它们进行约束。 3DGPR图像表明 ,GPR的相变化可以解释为沉积学边界曲面 ,即使边界曲面与强GPR反射面不相关 ,这种解释也成立。该地区有两种主要的沉积体系。上部 5m内为河槽交错层理砂岩 ,平均渗透率约为 40md ,最大相关长度约为 (5 .5～ 12 .5 )× (3 .5～ 8.0 )× (0 .2～ 1.5 )m ;下部 7m为河流冲填沉积 ,随着粘土含量的增加 ,平均渗透率从约 3 0md变化为约 5md ,最大相关长度约为 (4 .0～ 12 .5 )× (3 .0～ 10 .0 )× (0 .5～ 1.0 )m。这些结构适合于用于流体流动模拟的输入
The 3D 10 0 MHz Ground Penetrating Radar (GPR) data volume is the basis for on-the-spot characterization of fluvial reservoirs in the mid-eastern Utah Ferron sandstone. We used GPR reflection time to image the boundary surface with 3D velocity estimation and depth migration. At the same time, the 3D amplitude properties are used to generate a geostatistical model about the size, orientation and geometry of the internal structure 12m deep from the surface to the ground. Each Kriging method and the 3D correlation structure derived from GPR data are given an actual fluid permeability distribution for each sedimentology factor and are constrained by the measured permeability in rock plugs extracted from cliff walls in and near the core . The 3DGPR images show that the phase change of GPR can be interpreted as a sedimentary boundary surface, which is valid even if the boundary surface is not related to a strong GPR reflection surface. There are two major sedimentary systems in the area. The upper 5m is a fluvial-layered sandstones with an average permeability of about 40md and a maximum correlation length of about (5.5 ~ 12.5) × (3.5 ~ 8.0) × (0.2-2.5) m. The lower part With the increase of clay content, the average permeability changes from about 30 md to about 5 md, and the maximum correlation length is about (4.0-0.12.5) × (3.0-10.0) × (0.5 ~ 1.0) m. These structures are suitable for input for fluid flow simulation