作者: Kelly M. Guan , Marfa Nazarova , Bo Guo , Hamdi Tchelepi , Anthony R. Kovscek
DOI: 10.1007/S11242-018-1189-9
关键词: Finite volume method 、 Porosity 、 Image resolution 、 Voxel 、 Thresholding 、 Permeability (earth sciences) 、 Microscopy 、 Geometry 、 Materials science 、 Computation
摘要: Estimating porosity and permeability for porous rock is a vital component of reservoir engineering, imaging techniques have to date focused on methodologies match image-derived flow parameters with experimentally identified values. Less emphasis has been placed the trade-off between complexity, computational time, error in identifying permeability. Here, effect image resolution derived from micro-X-ray microscopy (micro-XRM) discussed. A minicore plug Bentheimer sandstone imaged at $$1024 \times 1024 1024$$ voxels, voxel size 1.53 $${\upmu }\hbox {m}$$ , progressively rebinned as low 32 voxels per side (voxel 48.96 ). Pore-scale modeled using finite volume method open-source program OpenFOAM®. sharp drop images 24 12 suggests that an optimal speed/resolution may be found. The primary source due reassignment along pore–solid interface subsequent change pore connectivity. We observe both thresholding values order find balances acceptable range reasonable computation time.