Bailian Chen

Education

• Ph.D. , Petroleum Engineering
• The University of Tulsa
• 2017

• M.S., Petroleum Engineering
• China University of Petroleum (East China)
• 2013

• B.S. , Petroleum Engineering
• China University of Petroleum (East China)
• 2010

Positions

• 4/2020 - Present | Staff Scientist
• 6/2017 - 4/2020 | Postdoctoral Research Associate

Awards

• LANL SPOT Award, 2021
• R&D 100 Award for Contribution to the SimCCS2.0: Open-Source Software for Designing CO2 Capture, Transport, and Storage Infrastructure, 2019
• R&D Special Recognition Medalists – Silver Award in the Corporate Social Responsibility Category, 2019
• Outstanding Technical Editor Award for Society of Petroleum Engineers (SPE) Journal, 2017 and 2018
• Bellwether Fellowship, Awarded by University of Tulsa, 2016
• Outstanding Reviewer Award for Journal of Natural Gas Science and Engineering, 2016 and 2017
• Outstanding Graduate Student Award, Awarded by China University of Petroleum, 2011
• National Scholarship, Awarded by Ministry of Education of China, 2007

Professional Societies

• International Society for Porous Media
• European Association of Geoscientists and Engineers
• Society of Petroleum Engineers
• American Geophysical Union

Selected Publications

• Google Scholar
• Chen, B. and R.J. Pawar: “Joint Optimization of Well Completions and Controls for CO2 Enhanced Oil Recovery and Storage,” SPE Reservoir Evaluation & Engineering, SPE-200316-PA, 2021.
• Yan, B., B. Chen, Harp, D.R., and R. J. Pawar: “A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods,” arXiv preprint arXiv:2107.07274, 2021.
• Yan, B., Harp, D.R., B. Chen, and R. J. Pawar: “A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media,” arXiv preprint arXiv:2105.09467, 2021.
• Vasylkivska, V., R. Dilmore, G. Lackey, Y. Zhang, S. King, D. Bacon, B. Chen, K. Mansoor and D.R. Harp: “NRAP-Open-IAM: A Flexible Open Source Integrated Assessment Model for Geologic Carbon Storage Risk Assessment and Management,” Environmental Modelling & Software, 143, Article No. 105114, 2021.
• Middleton, R.S., J.D. Ogland-Hand, B. Chen, J.M. Bielicki, K.M. Ellett, D.R. Harp and R.M. Kammer: “Identifying Geologic Characteristics to Meet Global Carbon Sequestration Goals,” Energy & Environmental Sciences, 13(12): 5000-5016, 2020.
• Middleton, R.S., B. Chen, D.R. Harp, R.M. Kammer, J. Ogland-Hand, J.M. Bielicki, A.F. Clarens, R. Currier, K.M. Ellett, B.A. Hoover, D. McFarlane, R.J. Pawar, P.H. Stauffer, H.S. Viswanathan and S.P. Yaw: “Great SCO2T! Rapid Carbon Sequestration Science, Engineering, and Economics,” Applied Computing and Geosciences, 7, Article No. 100035, 2020.
• Chen, B., D.R. Harp, Z. Lu and R.J. Pawar: “On Reducing Uncertainty in Geologic CO2 Sequestration Risk Assessment by Assimilating Monitoring Data,” International Journal of Greenhouse Gas Control, 94, Article No. 102926, 2020.
• Chen, B., D.R. Harp, R.J. Pawar, P. Stauffer, H. Viswanathan and R.S. Middleton: “Frankenstein’s ROMster: Avoiding Potential Pitfalls in Reduced-order Model Development,” International Journal of Greenhouse Gas Control, 93, Article No. 102892, 2020.
• Chen, B. and R.J. Pawar: “Characterization of CO2 Storage and Enhanced Oil Recovery in Residual Oil Zones,” Energy, 183: 291-304, 2019.
• Chen, B., D.R. Harp, Y. Lin, E.H. Keating and R.J. Pawar: “Geologic CO2 Sequestration Monitoring Design: A Machine Learning and Uncertainty Quantification Based Approach,” Applied Energy, 225, 332-345, 2018.
• Chen, B., J. He, X.H. Wen, W. Chen and A.C. Reynolds: “Uncertainty Quantification and Value-of-Information Assessment using Proxies and Markov Chain Monte Carlo Method for a Pilot Project,” Journal of Petroleum Science and Engineering, 157, 328-339, 2017.
• Chen, B., R. Fonseca, O. Leeuwenburgh and A.C. Reynolds: “Minimizing the Risk in the Robust Life-Cycle Production Optimization using Stochastic Simplex Approximate Gradient,” Journal of Petroleum Science and Engineering, 153, 331-344, 2017.
• Fonseca, R., B. Chen, J.D. Jansen and A.C. Reynolds: “A Stochastic Simplex Approximate Gradient (StoSAG) for Optimization under Uncertainty,” International Journal for Numerical Methods in Engineering, 109(13), 1756-1776, 2017.
• Chen, B. and A.C. Reynolds: “Ensemble-Based Optimization of the Water-Alternating-Gas Injection Process,” SPE Journal, 21(3), 786-798, 2016.