Ertugrul Umut Yildirim

Alumni

PhD student

Social Profile:

Research Interests

My research interests focus on applying deep neural networks in reservoir engineering and geoscience problems and developing physics-based machine learning models to simulate subsurface flow and transport problems.

Selected Publications

  • Alsamadony, K.L., Yildirim, E.U., Glatz, G., Waheed, U.B., Hanafy, S.M. 2021. Deep learning driven noise reduction for reduced flux computed tomography. Sensors, 21(5): 1921.
  • Yildirim, I.E. , Alkhalifah, T., Yildirim, E.U. 2022. Machine learning-enabled traveltime inversion based on the horizontal source-location perturbation. Geophysics, 87(1), U1-U8.

Education

  • B.Sc., Petroleum and Natural Gas Engineering, Middle East Technical University,  Turkey, 2017
  • M.Sc., Scientific Computing, Institute of Applied Mathematics, METU, Turkey, 2021

Scientific and Professional Membership

Society of Petroleum Engineers (SPE)

Society for Industrial and Applied Mathematics (SIAM)

KAUST Affiliations

Research Interests Keywords

Machine/Deep Learning Reservoir modeling Physics-informed ML Optimization