Deep-water lobe deposits are arranged hierarchically and can be characterized by high net:gross ratios but poor sand connectivity due to thin, but laterally extensive, shale layers. This heterogeneity makes them difficult to represent in standard full-field object-based models, since the sands in an object-based model are not stacked compensationally and become connected at a low net:gross ratio. The compression algorithm allows the generation of low-connectivity object-based models at high net:gross ratios, by including the net:gross and amalgamation ratios as independent input parameters. Object-based modelling constrained by the compression algorithm has been included in a recursive workflow, permitting the generation of realistic models of hierarchical lobe deposits. Representative dimensional and stacking parameters collected at four different hierarchical levels have been used to constrain a 250 m-thick, 14 km2 model that includes hierarchical elements ranging from 20 cm-thick sand beds to more than 30 m-thick lobe complexes. Sand beds and the fine-grained units are represented explicitly in the model, and the characteristic facies associations often used to parameterize lobe deposits are emergent from the modelling process. The model is subsequently resampled without loss of accuracy for flow simulation, and results show clearly the influence of the hierarchical heterogeneity on drainage and sweep efficiency during a water-flood simulation.

中文翻译：

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高净值的分层参数化和基于压缩的对象建模：粗大但合并不良的深水叶状沉积物

深水叶状沉积物分层排列，其特点是净毛比高，但由于薄而横向广泛的页岩层，砂岩连通性差。这种异质性使得它们难以在标准的全场基于对象的模型中表示，因为基于对象的模型中的沙子没有补偿堆叠，并且以低净毛比连接。压缩算法允许以高净：毛比生成低连接性基于对象的模型，方法是将净：毛比和合并比作为独立的输入参数。受压缩算法约束的基于对象的建模已包含在递归工作流中，允许生成分层叶沉积的真实模型。在四个不同层次级别收集的代表性尺寸和堆叠参数已用于约束 250 m 厚、14 km2 的模型，该模型包括从 20 cm 厚的沙床到超过 30 m 厚的叶复合体的层次元素。沙床和细粒单元在模型中得到了明确的表示，通常用于参数化叶状沉积物的特征相关联是从建模过程中出现的。该模型随后在不损失流量模拟精度的情况下重新采样，结果清楚地显示了水驱模拟期间分层异质性对排水和波及效率的影响。14 平方公里的模型，包括从 20 厘米厚的沙床到超过 30 米厚的叶复合体的分层元素。沙床和细粒单元在模型中得到了明确的表示，通常用于参数化叶状沉积物的特征相关联是从建模过程中出现的。该模型随后在不损失流量模拟精度的情况下重新采样，结果清楚地显示了水驱模拟期间分层异质性对排水和波及效率的影响。14 平方公里的模型，包括从 20 厘米厚的沙床到超过 30 米厚的叶复合体的分层元素。沙床和细粒单元在模型中得到了明确的表示，通常用于参数化叶状沉积物的特征相关联是从建模过程中出现的。该模型随后在不损失流量模拟精度的情况下重新采样，结果清楚地显示了水驱模拟期间分层异质性对排水和波及效率的影响。