Bio

Yuanjun Li is a PhD student from Energy Resources Engineering. She is currently working on application of deep learning approaches for well data history regeneration at SUPRI-D research group. She is also a member from Smart Field Consortium (SFC).

Honors & Awards

  • LASPE Scholarship - Graduate Student Awards of Excellence, Society of Petroleum Engineers, Los Angeles Basin Section (2018)
  • University Scholarship - Excellent Student Awards, China University of Petroleum, Beijing (2015)
  • Government Scholarship, China Scholarship Council (CSC) (2014)
  • Enterprise Scholarship - Excellent Student Awards, China Petroleum & Chemical Corporation (SINOPEC) (2013)

Education & Certifications

  • PhD, Stanford University, Energy Resources Engineering (2022)
  • MS, University of Southern California, Petroleum Engineering (2018)
  • BS, China University of Petroleum, Beijing, Oil-Gas Storage&Transportation Engineering (2016)
  • Exchange Scholar, University of Tulsa, Petroleum Engineering (2014)

Contact

  • Academic
    University - Student Department: Department of Energy Resources Engineering Position: Graduate

Additional Info

  • Mail Code: 2220

Links

Current Research and Scholarly Interests

- Application of deep learning approaches for pressure history regeneration.
- Smart oilfield technologies and oilfield optimization
- Time series production data analysis with deep learning

All Publications

  • Prediction of Penetration Rate Ahead of the Bit Through Real-Time Updated Machine Learning Models Li, Y., Samuel, R. Society of Petroleum Engineers. 2019
  • Deep Learning for Well Data History Analysis Li, Y., Sun, R., Horne, R. Society of Petroleum Engineers. 2019
  • Dynamic Layered Pressure Map Generation in a Mature Waterflooding Reservoir Using Artificial Intelligence Approach Li, Y., Popa, A., Johnson, A., Ershaghi, I., Cassidy, S. Society of Petroleum Engineers. 2018
  • Reservoir Ranking Map Sketching for Selection of Infill and Replacement Drilling Locations Using Machine Learning Technique Li, Y., Samuel, R. Society of Petroleum Engineers. 2018
  • Reservoir Geostatistical Estimation of Imprecise Information Using Fuzzy Kriging Approach Zhao, X., Popa, A., Ershaghi, I., Aminzadeh, F., Li, Y., Cassidy, S. Society of Petroleum Engineers. 2018