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Teawoo Kim
Teawoo Kim
KIGAM (Korea Institute of Geoscience and Mineral Resources), Tulsa University Fluid Flow Project
Verified email at utulsa.edu - Homepage
Title
Cited by
Cited by
Year
CFD modeling of air and highly viscous liquid two-phase slug flow in horizontal pipes
H Pineda-Pérez, T Kim, E Pereyra, N Ratkovich
Chemical Engineering Research and Design 136, 638-653, 2018
382018
Detailed Flow Field Measurements and Analysis in Highly Viscous Slug Flow in Horizontal Pipes
T Kim, T Aydin, E Pereyra, C Sarica
International Journal of Multiphase Flow 106, 75-94, 2018
302018
Modeling and prediction of slug characteristics utilizing data-driven machine-learning methodology
TW Kim, S Kim, JT Lim
Journal of Petroleum Science and Engineering 195, 107712, 2020
142020
Experimental study using advanced diagnostics to investigate slug aeration and bubble behavior in high liquid viscosity horizontal slug flow
TW Kim, E Al-Safran, E Pereyra, C Sarica
Journal of Petroleum Science and Engineering 191, 107202, 2020
132020
Detailed flow field analysis of air and highly viscous liquid slug flow in horizontal pipes
T Kim
The University of Tulsa, 2019
112019
Experimental investigation of model-based IMC control of severe slugging
KH Park, TW Kim, YJ Kim, N Lee, Y Seo
Journal of Petroleum Science and Engineering 204, 108732, 2021
82021
Pipe Inclination Effects on Slug Flow Characteristics of High Viscosity Oil-Gas Two-Phase Flow Near Horizontal Pipes
S Ekinci, T Aydin, C Sarica, E Pereyra, T Kim
ASME Fluids Engineering Division Summer Meeting, 2017
72017
Wall Shear Stress Measurements of Horizontal Two-phase Slug Flow for High Viscosity Liquids Using Constant Temperature Anemometry
L Buitrago, T Kim, E Pereyra, C Sarica
BHR Group 18th International Conference on Multiphase Technology, 55-69, 2017
62017
Prediction of maximum slug length considering impact of well trajectories in British Columbia shale gas fields using machine learning
S Kim, Y Yun, J Choi, M Bizhani, T Kim, H Jeong
Journal of Natural Gas Science and Engineering 106, 104725, 2022
52022
Optimization and extended applicability of simplified slug flow model for liquid-gas flow in horizontal and near horizontal pipes
TW Kim, NS Woo, SM Han, YJ Kim
Energies 13 (4), 842, 2020
52020
On the Analysis of High Viscous Horizontal Slug Flow Characteristics by Changing Pipe Diameter
T Kim
Seoul National University, 2015
52015
Flow characteristics of a solid–liquid non-Newtonian fluid for directional drilling
SM Han, NS Woo, JH Ha, TW Kim, YJ Kim, SM Kim
Journal of Nanoscience and Nanotechnology 20 (1), 384-395, 2020
32020
Prediction of liquid surge volumes and flow rates for gas wells using machine learning
Y Yun, T Kim, S Hwang, H Oh, Y Kim, H Jeong, S Kim
Journal of Natural Gas Science and Engineering 108, 104802, 2022
22022
Experimental and modelling study of the wall shear stress profile in horizontal pipes for highly viscous two-phase slug flow
T Kim, E Pereyra, C Sarica
BHR Group 11th North American Conference on Multiphase Production Technology, 2018
12018
Enhancing pressure gradient prediction in multi-phase flow through diverse well geometries of North American shale gas fields using deep learning
S Kim, TW Kim, Y Hong, J Kim, H Jeong
Energy 290, 130291, 2024
2024
A Feasibility Study for Measuring Seismic Acceleration and Building Seismological Observatory
SM Han, NS Woo, JH Ha, TW Kim, WD Lee, KS Kim, JY Yang, YJ Kim
Journal of the Korean Society of Industry Convergence 23 (3), 411-417, 2020
2020
Flow Field Characterization of Slug Flow Using PIV and CTA Techniques
T Kim, E Pereyra, C Sarica
2018 NETL Workshop on Multiphase Flow Science, 2018
2018
Enhancing Co2 Injection Efficiency by Leveraging Machine Learning for Optimal Temperature and Phase Control at Bottomhole Accounting for Well Geometry
S Kim, T Kim, Y Hong, H Jeong
Available at SSRN 4770375, 0
Unlocking Co2 Injection Potential: A Machine Learning Approach to Optimal Injection Temperature and Phase Control at the Bottomhole, Considering Well Geometry
S Kim, T Kim, Y Hong, H Jeong
Considering Well Geometry, 0
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Articles 1–19