Dr. Jialing Zou | Artificial Intelligence in Petroleum Engineering | Best Researcher Award
Lecturer at Southwest Petroleum University | China
Dr. Jialing Zou is a distinguished Lecturer at the School of Mechatronic Engineering, Southwest Petroleum University, recognized for her innovative contributions to intelligent sensing, data mining, and safety assessment within petroleum engineering. She holds a Ph.D. in Mechanical Engineering and focuses her research on developing intelligent early warning systems, smart fluid sensing, and real-time monitoring technologies to improve the safety and efficiency of complex drilling operations. Her scholarly pursuits combine data-driven intelligence with mechanical system optimization, advancing digital transformation and automation in the oil and gas industry. Dr. Zou has served as the principal investigator for several competitive research projects supported by major national and provincial funding agencies, including the National Natural Science Foundation of China, the Sichuan Provincial Science and Technology Department, and Southwest Petroleum University’s research initiatives. Her leadership in projects such as intelligent decision-making for digital geosteering and the development of online sensing methods for drilling fluid rheological parameters has significantly contributed to the field’s technological innovation. She has also played a key role in multiple national-level programs, including those under the National Key R&D Program of China, focusing on intelligent diagnosis and control technologies for petroleum exploration. Dr. Zou’s research has been widely published in high-impact journals 539 Citations by 460 documents 16 Documents h-index: 7 where her studies on advanced algorithms, fuzzy theory applications, and data-driven modeling have been highly regarded. Her interdisciplinary expertise bridges mechanical engineering, artificial intelligence, and safety science, positioning her as a leading emerging researcher in intelligent drilling and predictive safety systems. Through her academic excellence and commitment to innovation, Dr. Zou continues to advance knowledge, mentor young engineers, and promote the integration of intelligent technologies to enhance the sustainability and safety of petroleum engineering operations.
Featured Publications
Yang, H., Liu, J., Yang, Z., Liang, H., Zhang, L., & Zou, J. (2023). Active control of the fluid pulse based on the FxLMS.
Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multi-parameter fusion.
Liang, H., Xiong, J., Yang, Y., & Zou, J. (2023). Research on intelligent recognition technology in lithology based on multiparameter fusion of logging while drilling.
Liang, H., Zhang, W., Xu, W., Yang, H., & Zou, J. (2023). Research on rheological parameters correction method based on pipe viscometer.
Zhang, H., Chen, Q., Ni, P., Liang, H., Mao, M., & Zou, J. (2022). Study on the intelligent identification method of formation lithology by element and gamma spectrum.
Yang, H., Zhang, L., Li, L., Liang, H., & Zou, J. (2021). Error analysis and accuracy calibration method of U-tube Coriolis mass flowmeter under pulsating flow.