Dr Ruizhi Zhong

Advance Queensland Industry Researc

UQ Centre for Natural Gas
Faculty of Engineering, Architecture and Information Technology
r.zhong@uq.edu.au
+61 7 334 64138

Overview

Dr. Ruizhi Zhong is an Advance Queensland Industry Research Fellow (AQIRF) at UQ. His research interests include energy resources, machine learning, drilling, hydraulic fracturing, and geomechanics. 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 taught Drilling Engineering and Well Test Analysis at UQ. He has more than 35 publications (book chapters, journal articles, and conference proceedings). He is a member of the Society of Petroleum Engineers (SPE).

Current work involves machine learning and software development for the energy industry.

Qualifications

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

Publications

  • Li, Jimmy Xuekai, Tsang, Matt, Zhong, Ruizhi, Esterle, Joan, Pirona, Claire, Rajabi, Mojtaba and Chen, Zhongwei (2023). Automatic coal mine roof rating calculation using machine learning. International Journal of Coal Geology, 274 104292, 1-14. doi: 10.1016/j.coal.2023.104292

  • Zhong, Ruizhi, Salehi, Cyrus and Johnson, Ray (2022). Machine learning for drilling applications: a review. Journal of Natural Gas Science and Engineering, 108 104807, 1-17. doi: 10.1016/j.jngse.2022.104807

  • Zhong, Ruizhi (2022). Using machine learning to improve drilling of unconventional resources. Machine learning applications in subsurface energy resource management. (pp. 91-110) edited by Srikanta Mishra. Boca Raton, FL USA: CRC Press. doi: 10.1201/9781003207009-9

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Grants

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Supervision

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Publications

Book Chapter

  • Zhong, Ruizhi (2022). Using machine learning to improve drilling of unconventional resources. Machine learning applications in subsurface energy resource management. (pp. 91-110) edited by Srikanta Mishra. Boca Raton, FL USA: CRC Press. doi: 10.1201/9781003207009-9

  • Zhong, Ruizhi (2022). Wellbore strengthening. Drilling Mechanics: Advanced Applications and Technology. (pp. 324-348) 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

  • Master Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors: