Pore and throat size distributions measured from synchrotron X-ray tomographic images of Fontaineble

By A. Venkatarangan, S. Brook, J. Dunsmuir, T. Wong. 2000

499 citations recorded by the source corpus.

Subfields: Environmental Engineering, Mechanical Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/50751557549abe514a42789b7a8639a1ef3366ca

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Citations in the corpus

Permeability of porous media: Role of the critical pore size (2017, result): “The previous study using Fontainebleau sandstone [Lindquist et al., 2000] showed that the pore connectivity decreases with decreasing porosity, which may be one of reason that τ of granular media increases with decreasing φtra.”
Efficient extraction of networks from three‐dimensional porous media (2007, methodology): “This has also been done directly from 3-D microtomography images [Lindquist et al., 2000; Silin et al., 2003].”
Quantitative Analysis of Flow Processes in a Sand Using Synchrotron‐Based X‐ray Microtomography (2005, methodology): “Thestone) for subsequent use in lattice Boltzmann models beam-line specifications are detailed in a previous publication(Hazlett, 1995; Lindquist et al., 2000); and for imaging (Wildenschild et al., 2002) and we will only provide the mostdisplacement of oil by water in reservoir rocks (Coles…”
Fluid flow in porous media with rough pore‐solid interface (2016, methodology): “Laminar Flow Through Irregularly Shaped Tubes With Constant Cross Section The geometrical definition of void space of natural porous media, particularly a single pore, is invariably ambiguous, making a geometrical determination of pore length, radius, and volume difficult [Lindquist et al., 2000].”
QUANTITATIVE 3D CHARACTERISATION OF THE PORE SPACE OF REAL ROCKS: IMPROVED µ-CT RESOLUTION AND PORE EXTRACTION METHODOLOGY (2007, methodology): “The Fontainebleau sandstones suite provides the ideal experimental system to test the whole procedure since a considerable amount of data is available from both the petrophysical and microtomography points of view (Bourbié et al 1985, Lindquist et al 2000, Sok et al 2004).”
Combining Mercury Intrusion and Nuclear Magnetic Resonance Measurements Using Percolation Theory (2016, methodology): “This method may yield useful results if there is a strong correlation between pore size and pore throat size, but this is often not the case (e.g., Lindquist et al. 2000).”
Pore space reconstruction using multiple-point statistics (2005, methodology): “The probability of occurrence of any data event devn associated with the data template t can be inferred from the training image by counting the number c(devn) of replicates of devn found in the training image.”
Thermal conductivity in porous media: Percolation‐based effective‐medium approximation (2016, background): “…(6) in which f(T) is the probability distribution of the local conductivity T, Te is the effective conductivity, Z is the average coordination number [Jerauld et al., 1984; Lindquist et al., 2000], and Tmin and Tmax are the lower and upper limits of the conductivity in the actual porous medium.”
Agroforestry and Grass Buffer Effects on Pore Characteristics Measured by High‐Resolution X‐ray Computed Tomography (2008, methodology): “Lindquist et al. (2000) compared tortuosity, pore connectivity, pore-channel length, and throat and nodal parameters of Fontainebleau sandstone ranging from 7.5 to 22% porosity.”
Characterisation of irregular spatial structures by parallel sets and integral geometric measures (2004, methodology): “The images were thresholded using a kriging-based thresholding method [48] to give a binary pore-solid image [52,53].”
3D image-based characterization of fluid displacement in a Berea core (2007, methodology): “The partition into a network of pores and throats is performed on the sw image as described in [18].”