Ertugrul Umut

Ph.D. Students

Ph.D. Student - ERPE Program - Yan Group

Research Interest

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

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

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

  • Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC)
  • Physical Science and Engineering Division (PSE)

Research Interests Keywords

Reservoir modeling Deep learning Physics-informed ML optimization