Dr. Sophia Gong

Research Interests and Expertise

Applied machine learning productivity analysis

Decline-curve analysis (DCA)

Well completion optimization using fracture propagation simulation

Reservoir engineering of unconventional oil and gas reservoirs

Education

Ph.D. Chemical Engineering, The Ohio State University, 2020

M.Sc. Petroleum Engineering, University of Oklahoma, 2016

B.Sc. Petroleum Engineering, Missouri S&T, 2014

B.E. Petroleum Engineering, China University of Petroleum (Beijing), China, 2014

Professional History

Research Assistant Professor, Bureau of Economic Geology, The University of Texas at Austin (March 2024 – Present)

Senior Engineer, SimTech (October 2022 – February 2024)

Petroleum Engineer, SimTech (February 2021 – October 2022)

Selected Publications

• Gong, Y., El-Monier, I., Mehana, M., 2024. Machine Learning and Data Fusion Approach for Elastic Rock Properties Estimation and Fracturability Evaluation, Energy and AI, Vol. 16, 100335.
• Gong, Y., El-Monier, I., 2021. Revealing the Effect of Bifurcated Fractures and Fluid Parameters during Multiphase Slurry Transport, Energy & Fuels, 35, 13.
• Gong, Y., Mehana, M., El-Monier, I., Viswanathan, H., 2020. Proppant placement in complex fracture geometries: a computational fluid dynamics study, Journal of Natural Gas Science & Engineering ,79, 103295.
• Pei, Y., Yu, W., Sepehrnoori, K., Gong, Y., Xie, H., Wu, K., 2021. The influence of development target depletion on stress evolution and well completion of upside target in the Permian basin, SPE Reservoir Evaluation & Engineering.
• Gong, Y., Xie, H., Mao, Z., Liu, C, Yu, W. Leines-Artieda, J., Miao, J., 2023. Advanced Fracturing Modeling through Combining Fracture Model and Geomechanics. 57th US ARMA, Atlanta, Georgia
• Mehana, M., Callard, J., Mansi, M., Gong, Y., 2019. Integrating production analysis with Monte Carlo simulation for estimated ultimate recovery EUR prediction. SPE Eastern Regional Meeting, Charleston, West Virginia, USA    
• Gong, Y., Mehana, M., Xiong, F., Xu, F., El-Monier, I., 2019. Towards better estimations of rock mechanical properties integrating machine learning techniques for application to hydraulic fracturing. SPE Annual Technology and Conference Exhibition, Calgary, Canada.