Haotian Li

PhD Student

Ph.D. Student

Location:

ANPERC Student Office, Bldg. 5, Level 0 (seaside)

Social Profile:

Biography

My research interests are focused on better combining petroleum engineering with deep learning, such as pore segmentation in porous media such as shale, CO2 saturation prediction, residual oil distribution prediction etc.

Research Interests

Deep Learning, Computer Vision, Minerals, Pipeline safety

Selected Publications

Residual Strength Assessment and Residual Life Prediction of Corroded Pipelines: A Decade Review
H. Li, K. Huang, Q. Zeng, C. Sun

Energies, 15(3), 726, (2022)

Analysis and Research on the Automatic Control Systems of Oil–Water Baffles in Horizontal Three-Phase Separators
F. Wu, K. Huang, H. Li, C. Huang
Processes, 10(6), 1102, (2022)

Education

• M.sc, Petroleum and Natural Gas Engineering, Southwest Petroleum University, Chengdu, China, 2023
• B.sc, Information Management and Information System, Sichuan Agricultural University, Chengdu, China, 2019

Professional Profile

• 2023-present, Ph.D., KAUST, Thuwal, Saudi Arabia.
• 2022: Visiting Student, KAUST, Thuwal, Saudi Arabia.

Scientific and Professional Membership

Society of Petroleum Engineers

KAUST Affiliations

Ali I. AI-Naimi Petroleum Engineering Research Center

Research Interests Keywords

Deep learning Computer Vision Minerals Pipeline Safety