Gerke Kirill M, Karsanina Marina V, Mallants Dirk
CSIRO Land and Water, Glen Osmond, PB2, SA 5064, Australia.
The University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, 3010, Australia.
Sci Rep. 2015 Nov 2;5:15880. doi: 10.1038/srep15880.
Spatial data captured with sensors of different resolution would provide a maximum degree of information if the data were to be merged into a single image representing all scales. We develop a general solution for merging multiscale categorical spatial data into a single dataset using stochastic reconstructions with rescaled correlation functions. The versatility of the method is demonstrated by merging three images of shale rock representing macro, micro and nanoscale spatial information on mineral, organic matter and porosity distribution. Merging multiscale images of shale rock is pivotal to quantify more reliably petrophysical properties needed for production optimization and environmental impacts minimization. Images obtained by X-ray microtomography and scanning electron microscopy were fused into a single image with predefined resolution. The methodology is sufficiently generic for implementation of other stochastic reconstruction techniques, any number of scales, any number of material phases, and any number of images for a given scale. The methodology can be further used to assess effective properties of fused porous media images or to compress voluminous spatial datasets for efficient data storage. Practical applications are not limited to petroleum engineering or more broadly geosciences, but will also find their way in material sciences, climatology, and remote sensing.
如果将不同分辨率传感器捕获的空间数据合并到一个代表所有尺度的单一图像中，那么这些数据将提供最大程度的信息。我们开发了一种通用解决方案，通过使用具有重新缩放相关函数的随机重建方法，将多尺度分类空间数据合并到一个单一数据集中。通过合并代表矿物、有机质和孔隙度分布的宏观、微观和纳米尺度空间信息的三张页岩岩石图像，证明了该方法的通用性。合并页岩岩石的多尺度图像对于更可靠地量化生产优化和环境影响最小化所需的岩石物理性质至关重要。通过X射线显微断层扫描和扫描电子显微镜获得的图像被融合成具有预定义分辨率的单一图像。该方法足够通用，可用于实施其他随机重建技术、任意数量的尺度、任意数量的物质相以及给定尺度的任意数量的图像。该方法可进一步用于评估融合多孔介质图像的有效性质，或压缩大量空间数据集以实现高效的数据存储。实际应用不仅限于石油工程或更广泛的地球科学，还将在材料科学、气候学和遥感领域得到应用。
