Outcrops are valuable for analogous subsurface reservoirs in supplying knowledge of fine-scale spatial heterogeneity pattern and stratification types, which are difficult to obtain from subsurface reservoir cores, well logs or seismic data. For petrophysical properties in a domain where the variations are relatively continuous and not dominated by abrupt contrasts, the spatial heterogeneity pattern can be characterized by a semivariogram model. The outcrop information therefore has the potential to constrain the semivariogram for subsurface reservoir modelling, even though it represents different locations and depths, and the petrophysical properties may differ in magnitude or variance. However, the use of outcrop-derived spatial correlation information for petrophysical property modelling in practice has been challenged by the scale difference between the small support volume of the property measurements from outcrops and the typically much larger grid cells used in reservoir models. With an example of modelling the porosity of an outcrop chalk unit in eastern Denmark, this paper illustrates how the fine-scale spatial correlation information obtained from the sampling of outcrops can be transferred to coarser-scale models of analogue rocks. The workflow can be applied to subsurface reservoirs and ultimately improves the representation of geological patterns in reservoir models.

露头对于类似的地下储集层来说在提供精细尺度空间非均质性模式和分层类型的知识方面很有价值，这些知识很难从地下储集层岩心、测井或地震数据中获得。对于变化相对连续且不受突然对比支配的领域中的岩石物理特性，空间异质性模式可以用半变异函数模型来表征。因此，露头信息有可能限制用于地下储层建模的半变异函数，即使它代表不同的位置和深度，并且岩石物理特性可能在幅度或方差上有所不同。然而，在实践中使用露头导出的空间相关信息进行岩石物理属性建模受到了来自露头的属性测量的小支持体积与储层模型中使用的通常更大的网格单元之间的尺度差异的挑战。本文以丹麦东部一个露头白垩单元的孔隙度建模为例，说明了从露头采样中获得的精细尺度空间相关信息如何转移到更粗尺度的类似岩石模型中。该工作流程可应用于地下储层，并最终改进储层模型中地质模式的表示。本文以丹麦东部一个露头白垩单元的孔隙度建模为例，说明了如何将从露头采样中获得的细尺度空间相关信息转移到更粗尺度的类似岩石模型中。该工作流程可应用于地下储层，并最终改进储层模型中地质模式的表示。本文以丹麦东部一个露头白垩单元的孔隙度建模为例，说明了从露头采样中获得的精细尺度空间相关信息如何转移到更粗尺度的类似岩石模型中。该工作流程可应用于地下储层，并最终改进储层模型中地质模式的表示。