Pore scale investigation on scaling-up micro-macro capillary number and wettability on trapping and mobilization of residual fluid

Wang, Yao; Song, Rui; Liu, Jing; Cui, Mengmeng; Ranjith, P.G.

doi:10.1016/j.jconhyd.2019.103499

Cited by 42 publications

(27 citation statements)

References 46 publications

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“…Due to the complex and disordered pore structure of natural rock specimens, the test results may also vary from samples under a consistent test environment. Besides, the test sample will be damaged and polluted over time, which limits the repeatable use for parallel analysis …”

Section: Introductionmentioning

confidence: 99%

Comparative analysis on pore‐scale permeability prediction on micro‐CT images of rock using numerical and empirical approaches

Song

Wang

Liu

et al. 2019

Energy Science & Engineering

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Varieties of pore‐scale numerical and empirical approaches have been proposed to predict the rock permeability when the pore structure is known, for example, microscopic computerized tomography (micro‐CT) technology. A comparative study on these approaches is conducted in this paper. A reference dataset of nine micro‐CT images of porous rocks is generated and processed including artificial sandpacks, tight sandstone, and carbonate. Multiple numerical and empirical approaches are used to compute the absolute permeability of micro‐CT images including the image voxel‐based solver (VBS), pore network model (PNM), Lattice Boltzmann method (LBM), Kozeny‐Carman (K‐C) equation, and Thomeer relation. Computational accuracy and efficiency of different numerical approaches are investigated. The results indicate that good agreements among numerical solvers are achieved for the sample with a homogeneous structure, while the disagreement increases with an increase in heterogeneity and complexity of pore structure. The LBM and VBS solver both have a relative higher computation accuracy, whereas the PNM solver is less accurate due to simplification on the topological structure. The computation efficiency of the different solver is generally computation resources dependent, and the PNM solver is the fastest, followed by VBS and LBM solver. As expected, empirical relation can over‐estimate permeability by a magnification of 50 or more, particularly for those strong heterogeneous structures reported in this study. Nevertheless, empirical relation is still applicable for artificial rocks.

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Section: Introductionmentioning

confidence: 99%

Comparative analysis on pore‐scale permeability prediction on micro‐CT images of rock using numerical and empirical approaches

Song

Wang

Liu

et al. 2019

Energy Science & Engineering

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“…The µ-CT technology uses the attenuation characteristic of the X-ray when it transmits the sample to image the internal structure of the sample [13][14][15]. Compared with other technologies, the µ-CT technology avoids the damage to the internal structure of rock during the sample preparation.…”

Section: Introductionmentioning

confidence: 99%

Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

Song

Peng

Sun

et al. 2020

Journal of Energy Resources Technology

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Pore-scale mechanism of the waterflooding process contributes to enhanced oil recovery, which has been widely emphasized in the petroleum industry. In this paper, pore-scale waterflooding experiments are carried out on mixed-wetted natural sandstone and 3D printed sandstone using micro-computed tomography (μ-CT). The high-resolution images of oil/water distribution in different stages of waterflooding cycles are acquired. The classification of residual oil after waterflooding is conducted using the shape factor and Euler number, which represents the shape and spatial connectivity, respectively. The in situ contact angles are measured on the segmented images and the pore-scale wettability of these two samples is analyzed. Then, the effects of pore structure, micro-fracture and wettability on the distribution of the patterns of residual oil are analyzed. The results indicate that the types of isolated, cluster, network, and film (only for natural sample) are the main forms of residual oil patterns after the waterflooding process. The negative correlation between the shape factor and the Euler number of the typical oil blocks are presented. The effect of wettability and pore geometry on the morphology of the oil/water interface is quantitatively studied. The capillary pressure is the key factor for the formation of the residual oil blocks, the morphology of which is controlled by both wettability and pore geometry.

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“…4D reconstruction techniques in a medical field allows studying the organs which are in continuous motion, such as lungs [15], [16] and heart [17]- [19]. Industrial applications of 4D tomography include monitoring of the development of porous networks [20], cracking damage [21], local fluid flow [22], and more [23].…”

Section: Introduction a Computed Tomography And Its Applicationsmentioning

confidence: 99%

Monitored Reconstruction: Computed Tomography as an Anytime Algorithm

et al. 2020

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Computed tomography is an important technique for non-destructive analysis of an object's internal structure, relevant for scientific studies, medical applications, and industry. Pressing challenges emerging in the field of tomographic imaging include speeding up reconstruction, reducing the time required to obtain the X-ray projections, and reducing the radiation dose imparted to the object. In this paper, we introduce a model of a monitored reconstruction process, in which the acquiring of projections is interspersed with image reconstruction. This model allows to examine the tomographic reconstruction process as an anytime algorithm and consider a problem of finding the optimal stopping point, corresponding to the required number of X-ray projections for the currently scanned object. We outline the theoretical framework for the monitored reconstruction, propose ways of constructing stopping rules for various reconstruction quality metrics and provide their experimental evaluation. Due to stopping at different times for different objects, the proposed approach allows to achieve a higher mean reconstruction quality for a given mean number of X-ray projections. Conversely, fewer projections on average are used to achieve the same mean reconstruction quality. INDEX TERMS Anytime algorithms, computed tomography, dose reduction, monitored reconstruction, optimal stopping, x-ray tomography.

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Pore scale investigation on scaling-up micro-macro capillary number and wettability on trapping and mobilization of residual fluid

Cited by 42 publications

References 46 publications

Comparative analysis on pore‐scale permeability prediction on micro‐CT images of rock using numerical and empirical approaches

Comparative analysis on pore‐scale permeability prediction on micro‐CT images of rock using numerical and empirical approaches

Visualized Experiments on Residual Oil Classification and Its Influencing Factors in Waterflooding Using Micro-Computed Tomography

Monitored Reconstruction: Computed Tomography as an Anytime Algorithm

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