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Dive into the research topics where Seung Ihl Kam is active.

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Featured researches published by Seung Ihl Kam.


Chemical Engineering Science | 2002

Foam Generation in Homogeneous Porous Media

Phillip A. Gauglitz; F. Friedmann; Seung Ihl Kam; W.R. Rossen

Abstract In steady gas–liquid flow in homogeneous porous media with surfactant present, there is often observed a critical injection velocity or pressure gradient ∇ p min at which “weak” or “coarse” foam is abruptly converted into “strong foam”, with a reduction of one to two orders of magnitude in total mobility: i.e., “foam generation”. Earlier research on foam generation is extended here with extensive data for a variety of porous media, permeabilities, gases (N 2 and CO 2 ), and surfactants. For bead and sandpacks, ∇ p min scales like (1/ k ), where k is permeability, over 2 1 2 orders of magnitude in k ; for consolidated media, the relation is more complex. For dense-CO 2 foam, ∇ p min exists but can be less than 23 KPa/m (1 psi/ft). If pressure drop, rather than flow rates, is fixed, one observes an unstable regime between stable “strong” and “coarse” foam regimes; in the unstable regime ∇ p is nonuniform in space or variable in time. Results are interpreted in terms of the theory of foam mobilization at a critical pressure gradient.


Transport in Porous Media | 2014

Three-Phase Fractional Flow Analysis for Foam-Assisted Non-aqueous Phase Liquid (NAPL) Remediation

Seungjun Lee; G. Lee; Seung Ihl Kam

Among numerous foam applications in a wide range of disciplines, foam flow in porous media has been spotlighted for improved/enhanced oil recovery processes and shallow subsurface in situ NAPL (non-aqueous phase liquid) remediation, where foams can reduce the mobility of gas phase by increasing effective gas viscosity and improve sweep efficiency by mitigating subsurface heterogeneity. This study investigates how foams interact with and displace oleic contaminants in remediation treatments by using MoC (Method of Characteristics)-based three-phase fractional flow theory. Six different scenarios are considered such as different levels of foam strength (i.e., gas mobility reduction factors), different initial conditions (i.e., initially oil/water or oil/water/gas present), foam stability affected by water saturation


Colloids and Surfaces A: Physicochemical and Engineering Aspects | 2002

The yield stress of foamy sands

Seung Ihl Kam; Phillip A. Gauglitz; W.R. Rossen


Journal of Hazardous Materials | 2012

Modeling foam delivery mechanisms in deep vadose-zone remediation using method of characteristics.

A. Roostapour; Seung Ihl Kam

({S}_{\mathrm{w}})


Journal of Hazardous Materials | 2014

Model fit to experimental data for foam-assisted deep vadose zone remediation.

Alireza Roostapour; G. Lee; Lirong Zhong; Seung Ihl Kam


Colloids and Surfaces A: Physicochemical and Engineering Aspects | 2002

The compressibility of foamy sands

Seung Ihl Kam; W.R. Rossen

(Sw) and oil saturation


Spe Reservoir Evaluation & Engineering | 2013

Anomalous Foam-Fractional-Flow Solutions at High-Injection Foam Quality

Alireza Roostapour; Seung Ihl Kam


Developments in water science | 2002

Simulating use of foam in aquifer remediation

C.K. Mamun; J.G. Rong; Seung Ihl Kam; H.M. Liljestrand; W.R. Rossen

({S}_{\mathrm{o}})


Transport in Porous Media | 2018

Investigating Supercritical CO 2 Foam Propagation Distance: Conversion from Strong Foam to Weak Foam vs. Gravity Segregation

M. Izadi; Seung Ihl Kam


11th European Conference on the Mathematics of Oil Recovery | 2008

Fractional-flow Theory of Foam Displacements with Oil

M. Namdar-Zanganeh; T. La Force; Seung Ihl Kam; T.L.M. van der Heijden; W.R. Rossen

(So), and uniform versus non-uniform initial saturations. The process is analyzed by using ternary diagrams, fractional flow curves, effluent histories, saturation profiles, time–distance diagrams, and pressure and recovery histories. The results show that the three-phase fractional flow analysis presented in this study is robust enough to analyze foam–oil displacements in various conditions, as validated by an in-house numerical simulator built in this study. The use of numerical simulation seems crucial when the foam process becomes very complicated and faces multiple possible solutions.

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W.R. Rossen

Delft University of Technology

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Ali Reza Edrisi

Nicholls State University

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Paulo J. Waltrich

Louisiana State University

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Phillip A. Gauglitz

Pacific Northwest National Laboratory

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Woochan Lee

Louisiana State University

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