Dr Ruizhi Zhong
Advance Queensland Industry Research Fellow
Gas and Energy Transition Research Centre
+61 402 540 733
+61 7 334 64138
Book Chapters
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 Articles
Li, Hao, Zhong, Ruizhi, Pel, Leo, Smeulders, David and You, Zhenjiang (2023). A new volumetric strain-based method for determining the crack initiation threshold of rocks under compression. Rock Mechanics and Rock Engineering, 57 (2), 1329-1351. doi: 10.1007/s00603-023-03619-2
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
Santiago, Vanessa, Zabala, Francy Guerrero, Sanchez-Barra, Angel J., Deisman, Nathan, Chalaturnyk, Richard J., Zhong, Ruizhi and Hurter, Suzanne (2022). Experimental investigation of the flow properties of layered coal-rock analogues. Chemical Engineering Research and Design, 186, 685-700. doi: 10.1016/j.cherd.2022.08.046
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
Wang, Chunguang, Zhang, Jidong, Zang, Yuxiao, Zhong, Ruizhi, Wang, Jianguo, Wu, Yu, Jiang, Yujing and Chen, Zhongwei (2021). Time-dependent coal permeability: impact of gas transport from coal cleats to matrices. Journal of Natural Gas Science and Engineering, 88 103806, 103806. doi: 10.1016/j.jngse.2021.103806
Wang, Chunguang, Zhang, Jidong, Chen, Junguo, Zhong, Ruizhi, Cui, Guanglei, Jiang, Yujing, Liu, Weitao and Chen, Zhongwei (2021). Understanding competing effect between sorption swelling and mechanical compression on coal matrix deformation and its permeability. International Journal of Rock Mechanics and Mining Sciences, 138 104639, 104639. doi: 10.1016/j.ijrmms.2021.104639
Meng, Meng, Zhong, Ruizhi and Wei, Zhili (2020). Prediction of methane adsorption in shale: classical models and machine learning based models. Fuel, 278 118358, 118358. doi: 10.1016/j.fuel.2020.118358
Zhong, Ruizhi, Johnson Jr, Raymond and Chen, Zhongwei (2020). Generating pseudo density log from drilling and logging-while-drilling data using extreme gradient boosting (XGBoost). International Journal of Coal Geology, 220 103416, 1-13. doi: 10.1016/j.coal.2020.103416
Zhong, Ruizhi, Johnson, Raymond L. and Chen, Zhongwei (2020). Using machine learning methods to identify coal pay zones from drilling and Logging-While-Drilling (LWD) data. SPE Journal, 25 (03), 1241-1258. doi: 10.2118/198288-pa
Meng, Meng, Qiu, Zhengsong, Zhong, Ruizhi, Liu, Zhenguang, Liu, Yunfeng and Chen, Pengju (2019). Adsorption characteristics of supercritical CO2/CH4 on different types of coal and a machine learning approach. Chemical Engineering Journal, 368, 847-864. doi: 10.1016/j.cej.2019.03.008
Zhong, Ruizhi, Miska, Stefan, Yu, Mengjiao, Meng, Meng, Ozbayoglu, Evren and Takach, Nicholas (2019). Experimental investigation of fracture-based wellbore strengthening using a large-scale true triaxial cell. Journal of Petroleum Science and Engineering, 178, 691-699. doi: 10.1016/j.petrol.2019.03.081
Johnson Jr, Raymond, Zhong, Ruizhi and Nguyen, Lan (2019). Results of hydraulic fracturing design improvements and changes in execution strategies for unconventional tight gas targets in the Cooper Basin, Australia. APPEA Journal, 59 (1), 244-259. doi: 10.1071/aj18185
Zhong, Ruizhi, Johnson Jr, Raymond, Chen, Zhongwei and Chand, Nathaniel (2019). Coal identification using neural networks with real-time coalbed methane drilling data. The APPEA Journal, 59 (1), 319-327. doi: 10.1071/aj18091
Zhong, Ruizhi, Miska, Stefan, Yu, Mengjiao, Ozbayoglu, Evren and Takach, Nicholas (2018). An integrated fluid flow and fracture mechanics model for wellbore strengthening. Journal of Petroleum Science and Engineering, 167, 702-715. doi: 10.1016/j.petrol.2018.04.052
Zhong, Ruizhi, Miska, Stefan and Yu, Mengjiao (2017). Parametric study of controllable parameters in fracture-based wellbore strengthening. Journal of Natural Gas Science and Engineering, 43, 13-21. doi: 10.1016/j.jngse.2017.03.018
Zhong, Ruizhi, Miska, Stefan and Yu, Mengjiao (2017). Modeling of near-wellbore fracturing for wellbore strengthening. Journal of Natural Gas Science and Engineering, 38, 475-484. doi: 10.1016/j.jngse.2017.01.009
Conference Papers
Li, Hao, Pel, Leo, Smeulders, David, Zhong, Ruizhi and You, Zhenjiang (2023). A sequentially coupled chemical-mechanical damage constitutive model for carbonate rocks. 2023: Symposium on Energy Geotechnics, Delft, Netherlands, 3-5 October 2023. Delft, Netherlands: TU Delft OPEN Publishing. doi: 10.59490/seg.2023.639
Wang, Zhuoyu, Zhu, Jianjun, Cao, Guangqiang, Zhu, Hongwu, Zhong, Ruizhi and Zhu, Haiwen (2022). Study on the labyrinth screw pump for heavy oil production. SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, SA Australia, 17-19 October 2022. Dallas, TX USA: Society of Petroleum Engineers. doi: 10.2118/210687-ms
Cao, Guangqiang, Li, Nan, Wang, Haoyu, Zhong, Ruizhi and Shi, Tao (2022). Real time, automatic injecting of foaming agent for gas deliquification in CQQK Gas Field, China: a case study. SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, SA Australia, 17-19 October 2022. Dallas, TX USA: Society of Petroleum Engineers. doi: 10.2118/210756-ms
Qalandari, Roohullah, Zhong, Ruizhi, Salehi, Cyrus, Chand, Nathaniel, Johnson, Raymond Leslie, Vazquez, Gonzalo, Mclean-Hodgson, Jack and Zimmerman, Joel (2022). Estimation of rock permeability scores using machine learning methods. SPE Asia Pacific Oil & Gas Conference and Exhibition, Adelaide, SA Australia, 17-19 October 2022. Dallas, TX USA: Society of Petroleum Engineers. doi: 10.2118/210711-ms
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.
Zhong, Ruizhi, Azman, Aideel, Johnson, Ray, You, Zhenjiang and Nguyen, Lan (2021). Case Study and Sensitivity Analysis of Borehole Breakout in the Cooper Basin, Australia. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Online, 16-18 November 2021. Tulsa, OK United States: Unconventional Resources Technology Conference. doi: 10.15530/ap-urtec-2021-208373
Leonardi, C. R., Zhong, R., Mitchell, T. R., Chen, Z., Johnson, R. L., O'Hagan, D. and Flottmann, T. (2021). Analytical and numerical assessment of the influence of bulk coal strength on drilling operations in unconventional coal seam gas wells. 55th US Rock Mechanics/Geomechanics Symposium, Houston, TX USA, 20-23 June 2021. Alexandria, VA USA: American Rock Mechanics Association.
Zhong, Ruizhi, Tsang, Matt, Makusha, Gift, Yang, Ben and Chen, Zhongwei (2021). Improving estimation of rock mechanical properties using machine learning. Resource Operators Conference, Virtual, 11-12 February 2021. Wollongong, Australia: University of Wollongong/University of Southern Queensland.
Zhong, Ruizhi, Johnson Jr, Ray L. and Chen, Zhongwei (2021). Using machine learning for geosteering during in-seam drilling. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Virtual, 16–18 November, 2021. Tulsa, OK, United States: Unconventional Resources Technology Conference. doi: 10.15530/ap-urtec-2021-208298
Mitchell, Travis R., Zhong, Ruizhi, Johnson, Ray and Leonardi, Christopher R. (2021). Numerical evaluation of bulk geomechanical properties of fractured coal with changing net effective stress conditions. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Virtual, 16-18 November 2021. Tulsa, OK, United States: Unconventional Resources Technology Conference. doi: 10.15530/ap-urtec-2021-208346
Zhong, Ruizhi, Leonardi, Christopher R., Mitchell, Travis R. and Johnson, Ray L. (2021). Wellbore stability analysis of horizontal drilling in Bowen and Surat coal seam gas wells. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Virtual, 16-18 November 2021. Tulsa, OK, United States: Unconventional Resources Technology Conference. doi: 10.15530/ap-urtec-2021-208399
Salehi, Cyrus, Zhong, Ruizhi, Ganpule, Sameer, Dewar, Steven, Johnson, Raymond and Chen, Zhongwei (2020). Estimating Coal Permeability Using Machine Learning Methods. SPE Asia Pacific Oil & Gas Conference and Exhibition, Online, 17-19 November 2020. Richardson, TX United States: Society of Petroleum Engineers. doi: 10.2118/202271-ms
Li, Zhonghui, Zhong, Ruizhi, Lou, Yishan, Lu, Jun and Ni, Yafei (2019). Parametric study of in-situ stresses in depleted reservoirs. International Conference and Exhibition on Computational Biology and Bioinformatics , Taipei, Taiwan, 1-2 December 2019. Chichester, West Sussex, United Kingdom: Wiley-Blackwell.
Zhong, Ruizhi, Johnson Jr., Raymond L. and Chen, Zhongwei (2019). Using machine learning methods to identify coals from drilling and logging-while-drilling LWD data. SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, Brisbane, QLD, Australia, 18-19 November 2019. Tulsa, OK, United States: Unconventional Resources Technology Conference. doi: 10.15530/ap-urtec-2019-198288
Zhong, Ruizhi, Miska, Stefan, Yu, Mengjiao, Ozbayoglu, Evren and Takach, Nicholas (2018). Investigation of fracture reopening pressure in wellbore strengthening. IADC/SPE Drilling Conference and Exhibition, Fort Worth, TX United States, 6-8 March 2018. Richardson, TX United States: Society of Petroleum Engineers. doi: 10.2118/189575-ms
Johnson, Raymond L., Zhong, Ruizhi and Nguyen, Lan (2018). Well trajectory, completion and fracture design changes improve execution for deep unconventional tight gas targets in the cooper basin, Australia. SPE Hydraulic Fracturing Technology Conference and Exhibition 2019, HFTC 2019, The Woodlands, TX United States, 5 - 7 February 2019. Society of Petroleum Engineers. doi: 10.2118/194366-MS
Zhong, Ruizhi, Miska, Stefan, Yu, Mengjiao, Ozbayoglu, Evren, Zhang, Jianguo and Majidi, Reza (2017). A leak-off model for critical permeability in wellbore strengthening applications. AADE National Technical Conference and Exhibition, Houston, TX, United States, 11-12 April 2017.
Zhang, S., Zhong, R. and Liu, Y. (2016). Numerical modeling of land subsidence resulting from oil production. 50th US Rock Mechanics / Geomechanics Symposium 2016, Houston, TX, United States, June 26-June 29 2016. American Rock Mechanics Association (ARMA).
Zhong, Ruizhi, Bao, Jinqing and Fathi, Ebrahim (2014). Fully coupled finite element model to study fault reactivation during multiple hydraulic fracturing in heterogeneous tight formations. SPE Eastern Regional Meeting, SPE Eastern Regional Meeting, SPE Eastern Regional Meeting. Richardson, TX, USA: Society of Petroleum Engineers (SPE). doi: 10.2118/171035-ms
Zhong, Ruizhi, Wu, Nianqiang and Liu, Yuxin (2012). Microfluidic human blood plasma separation for lab on chip based heavy metal detections. Sensors Based on Fluorescence, SERS, SPR, and Photoelectrochemistry, Boston MA, USA, 9-14 October 2011. doi: 10.1149/1.3697855