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Bailian Chen

Bailian Chen

Email
Phone (505) 667-1926

Capabilities

  • Computational Physics and Applied Mathematics
  • Numerical modeling
  • Algorithms
  • Monte Carlo methods
  • Subsurface flow simulation
  • Uncertainty quantification
  • Computer and Computational Sciences
  • Machine learning,
  • High performance computing
  • Computational Physics and Applied Mathematics
  • Sensitivity analysis
  • Earth and Space Sciences
  • Inverse modeling
  • Model calibration
  • FEHM: Finite-Element Heat and Mass-Transfer
  • Oil and gas reservoir simulations

Expertise

  • Reservoir modeling and simulation
  • Optimization of CO2 injection for enhanced oil recovery
  • Uncertainty quantification and value-of-information assessment methods
  • Data assimilation/Assisted history matching for model(s) calibration
  • Monitoring optimization and risk assessment for CO2 geologic sequestration
  • Machine learning

Education

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

M.S., Petroleum Engineering, China University of Petroleum, 2013

B.S., Petroleum Engineering, China University of Petroleum, 2010

 

 

LANL Positions

Postdoctoral Research Associate, EES-16, Earth and Environmental Sciences Division, 2017.06 - Present

 

Professional Societies

  • Society of Petroleum Engineering (SPE)
  • American Geophysical Union (AGU)
 

Awards

Selected

  • Outstanding Service as SPE Journal Technical Editor, 2017
  • Bellwether Fellowship, The University of Tulsa, 2016
  • Outstanding Service as Technical Editor in Journal of Natural Gas Science and Engineering, 2016 and 2015
  • TUPREP Fellowship, The University of Tulsa, 2013
  • Outstanding Graduate Student Award, China University of Petroleum, 2011
  • National Scholarship, The Ministry of Education, China, 2007
 

Publications

Please see my google scholar profile for a list of papers.

In review

  1. Chen, B. and A.C. Reynolds: “StoSAG-Based Robust Life-Cycle Production Optimization Applied to Brugge Benchmark Field,” Journal of Optimization Theory and Applications, 2017.
  2. Chen, B. and A.C. Reynolds: “CO2-WAG Injection for Enhanced Oil Recovery: Optimal Well Controls and Half-Cycle Lengths,” Computers & Chemical Engineering, 2017.

Peer-reviewed

  1. He, J., P. Sarma, E. Bhark, B. Chen, X.H. Wen and J. Kamath: “Quantifying Value of Information using Ensemble Variance Analysis,” SPE Journal, 2017.
  2. Chen, B., J. He, X.H. Wen, W. Chen and A.C. Reynolds: “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.
  3. 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.
  4. Chen, B. and A.C. Reynolds: “Optimal Control of ICV's and Well Operating Conditions for Water-Alternating-Gas Injection Process,” Journal of Petroleum Science and Engineering, 149, 623-640, 2016.
  5. 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, 2016.
  6. Wang, D., Y. Li, B. Chen, B. Hu, B. Li and D. Gao: Ensemble-Based Optimization of Interwell Connectivity in Heterogeneous Waterflooding Reservoirs, Journal of Natural Gas Science and Engineering, 38, 245-256, 2016.
  7. Chen, B. and A. C. Reynolds: “Ensemble-Based Optimization of the Water-Alternating-Gas Injection Process,” SPE Journal, 21(3), 786-798, 2015.
  8. Chen, B., H. Huang, Y. Zhang, L. Wang, S. Ren, A. Huang and P. Sun: "An Improved Predicting Model for Minimum Miscibility Pressure (MMP) of CO2 and Crude Oil," Journal of Oil and Gas Technology, 35(2), 126-130, 2013.
  9. Zhang, Y., L. Zhang, B. Chen, H. Li, Y. Wang and S. Ren: “Experimental and Evaluation Methods of CO2 Foam under High Temperature and Pressure,” Journal of Chemical Engineering of Chinese Universities, 28(3), 535-541, 2013.
  10. Li, X., B. Chen, L. Zhang, D. Li and G. Wang: “Process Optimization for Anti-Corrosion of Injection/Production Wells for CO2-Flood EOR,” Science and Technology of West China, 12(5): 2-3, 2013.
  11. Song, H., L. Zhang, B. Chen, C. Yang, Q. Wang, L. Zhang and S. Ren: “Experimental Study on Performance of CO2 Foam at High Temperature and High Salinity Condition,” Oilfield Chemistry, (3): 380-383, 2013.
  12. Huang, H., B. Chen, Y. Zhang, X. Xie and S. Ren: “A New Criterion of Miscibility in CO2-Oil Slim-Tube Displacement Testing,” Journal of Oil and Gas Technology, 34(11), 131-134, 2012.
  13. Niu, B., S. Ren, Y. Liu, D. Wang, L. Tang, B. Chen: “Low-Temperature Oxidation of Oil Components in an Air Injection Process for Improved Oil Recovery,” Energy & Fuels, 25(10), 4299-4304, 2011.

Conference proceedings

  1. He, J., P. Sarma, E. Bhark, B. Chen, X.H. Wen and J. Kamath: “Quantifying Value of Information using Ensemble Variance Analysis,” SPE Reservoir Simulation Conference, 20-22 February, 2017 in Montgomery, TX, USA.
  2. Chen, B., J. He, X.H. Wen, W. Chen and A.C. Reynolds: “Pilot Design Analysis using Proxies and Markov Chain Monte Carlo Method,” 15th European Conference on the Mathematics of Oil Recovery (ECMOR XV), 29 August - 01 September, 2016 in Amsterdam, The Netherlands.
  3. Xu, J., W. Teng, R. Jiang, L. Xie, B. Chen and J. Zhu: “Pressure Transient Analysis of Shale Gas Reservoirs Considering Stimulated Reservoir Volume Using elliptical Flow,” 15th European Conference on the Mathematics of Oil Recovery (ECMOR XV), 29 August - 01 September, 2016 in Amsterdam, The Netherlands.
  4. Chen, B. and A.C. Reynolds: “Ensemble-Based Optimization of the WAG Injection Process,” SPE-173217, SPE Reservoir Simulation Symposium, 23-25 February, 2015 in Houston, TX, USA.