Dr Ruizhi Zhong

Advance Queensland Industry Researc

UQ Centre for Natural Gas
Faculty of Engineering, Architecture and Information Technology

Overview

Dr. Ruizhi Zhong is an Advance Queensland Industry Research Fellow (AQIRF) at UQ. His research interests include energy resources, machine learning, cloud computing, hydraulic fracturing, geomechanics, and microfludics. His current work involves the application of machine learning and data analytics for the energy industry. He holds a PhD degree in petroleum engineering from the University of Tulsa, a master's degree in petroleum and natural gas engineering and a master's degree in mechanical engineering from West Virginia University, and a bachelor's degree in theoretical and applied mechanics from Beijing Institute of Technology. He is a member of Society of Petroleum Engineers (SPE).

Dr. Zhong taught Drilling Engineering and Well Test Analysis at UQ. He has more than 30 publications (book chapters, journal articles, and conference proceedings).

Research Interests

  • Energy resources
  • Machine learning
  • Cloud computing
  • Hydraulic fracturing
  • Geomechanics
  • Microfluidics

Qualifications

  • Doctor of Philosophy, Tulsa
  • Master of Science, Tulsa

Publications

  • Zhong, Ruizhi, Mitchell, Travis, Johnson Jr., Raymond and Leonardi, Christopher (2022). Efficient implicit methods for wellbore shear failure analysis during drilling and production in coalbeds. International Journal of Rock Mechanics and Mining Sciences, 155 105129, 105129. doi: 10.1016/j.ijrmms.2022.105129

  • Zhong, Ruizhi (2022). Wellbore strengthening. Drilling engineering: advanced applications and technology. (pp. 327-344) edited by Stefan Z. Miska, Robert F. Mitchell and Evren M. Ozbayoglu. New York, NY, United States: McGraw-Hill.

  • Li, Jimmy Xuekai, Tsang, Matt, Giese, Stephen, Zhong, Ruizhi, Esterle, Joan, Pirona, Claire, Rajabi, Mojtaba and Chen, Zhongwei (2022). UCS prediction by group-based machine learning method. Resource Operators Conference, Virtual, 10-11 February 2022. Wollongong, NSW, Australia: University of Wollongong and University of Southern Queensland.

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Grants

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Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

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Publications

Book Chapter

  • Zhong, Ruizhi (2022). Wellbore strengthening. Drilling engineering: advanced applications and technology. (pp. 327-344) edited by Stefan Z. Miska, Robert F. Mitchell and Evren M. Ozbayoglu. New York, NY, United States: McGraw-Hill.

Journal Article

Conference Publication

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor