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Kegang Ling, Ph.D.

Affiliations: 
2010 Texas A & M University, College Station, TX, United States 
Area:
Petroleum Engineering
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"Kegang Ling"
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Gioia Falcone grad student 2010 Texas A & M
 (Gas viscosity at high pressure and high temperature.)

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Publications

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Ni R, Ling K, Afari S. (2023) Different ways to approach shale reservoirs' CO storage potential in America. Heliyon. 9: e18458
Fu H, Yang L, Liang H, et al. (2020) Diagnosis of the single leakage in the fluid pipeline through experimental study and CFD simulation Journal of Petroleum Science and Engineering. 193: 107437
Feng C, Yang Z, Feng Z, et al. (2020) A novel method to estimate resistivity index of tight sandstone reservoirs using nuclear magnetic resonance logs Journal of Natural Gas Science and Engineering. 79: 103358
Yang L, Fu H, Liang H, et al. (2019) Detection of pipeline blockage using lab experiment and computational fluid dynamic simulation Journal of Petroleum Science and Engineering. 183: 106421
Mask G, Wu X, Ling K. (2019) An improved model for gas-liquid flow pattern prediction based on machine learning Journal of Petroleum Science and Engineering. 183: 106370
Gu Y, Bao Z, Song X, et al. (2019) Complex lithology prediction using probabilistic neural network improved by continuous restricted Boltzmann machine and particle swarm optimization Journal of Petroleum Science and Engineering. 179: 966-978
Yu H, Rui Z, Chen Z, et al. (2019) Feasibility study of improved unconventional reservoir performance with carbonated water and surfactant Energy. 182: 135-147
Rui Z, Cui K, Wang X, et al. (2018) A quantitative framework for evaluating unconventional well development Journal of Petroleum Science and Engineering. 166: 900-905
Rui Z, Han G, Zhang H, et al. (2017) A new model to evaluate two leak points in a gas pipeline Journal of Natural Gas Science and Engineering. 46: 491-497
Rui Z, Lu J, Zhang Z, et al. (2017) A quantitative oil and gas reservoir evaluation system for development Journal of Natural Gas Science and Engineering. 42: 31-39
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