气候变化领域集成服务门户(CCPortal): Computing the permeability and Forchheimer tensor of porous rocks via closure problems and digital images

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DOI	10.1016/j.advwatres.2020.103616
	Computing the permeability and Forchheimer tensor of porous rocks via closure problems and digital images
	Aguilar-Madera C.G.; Flores-Cano J.V.; Matías-Pérez V.; Briones-Carrillo J.A.; Velasco-Tapia F.
发表日期	2020
ISSN	0309-1708
卷号	142
英文摘要	Current computing capabilities, in combination with available theoretical frameworks, allow for the petrophysical evaluation of porous rocks from simple images. This procedure represents a less expensive alternative and it complements, generally expensive, laboratory measurements. A porosity, permeability and Forchheimer tensors estimation is reported here through a numerical solution of associated closure problems within digital images of porous rock thin sections. The solution of these steady-state boundary-value problems allows direct computation of all permeability elements and Forchheimer tensors. The digital images were obtained from a computer procedure that identifies the network of pores in thin sections. The results of the numerical estimation of permeability and porosity and its scopes were compared with those obtained via experimental measurements in four samples representing three distinct lithologies (travertine, sandstone and limestone), and were found to be in acceptable agreement. Once the permeability was computed, the Forchheimer tensor was calculated as function of the pore-scale Reynolds number. The Forchheimer coefficient varied with fluid velocity at an exponent close to 2 (range from 1.7 up to 4.2) depending on the lithology and local microstructure. The critical Reynolds number at which the Forchheimer coefficient became relevant was approximately 0.25. We found that the Forchheimer tensor exhibited anisotropy not only according to the local microstructure but also according to the flow path. © 2020
关键词	Boundary value problems Lime Limestone Lithology Microstructure Porosity Reynolds number Critical Reynolds number Direct computations Laboratory measurements Numerical estimation Numerical solution Permeability and porosities Petrophysical evaluations Theoretical framework Tensors computer simulation fluid flow image analysis numerical model permeability petrography porous medium Reynolds number theoretical study
语种	英语
来源机构	Advances in Water Resources
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/131774
推荐引用方式 GB/T 7714	Aguilar-Madera C.G.,Flores-Cano J.V.,Matías-Pérez V.,et al. Computing the permeability and Forchheimer tensor of porous rocks via closure problems and digital images[J]. Advances in Water Resources,2020,142.
APA	Aguilar-Madera C.G.,Flores-Cano J.V.,Matías-Pérez V.,Briones-Carrillo J.A.,&Velasco-Tapia F..(2020).Computing the permeability and Forchheimer tensor of porous rocks via closure problems and digital images.,142.
MLA	Aguilar-Madera C.G.,et al."Computing the permeability and Forchheimer tensor of porous rocks via closure problems and digital images".142(2020).