Hussain Alfayez

MS Student

M.S. Student

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Biography


Research Interests

My research interest lies in seismic parameter inversion and modeling, employing deep learning to
extract medium properties from seismic data. I aim to indirectly enhance reservoir simulation and fluid
flow understanding in the subsurface reservoir. My ultimate goal is to use seismic data innovatively to
advance subsurface reservoir understanding and management.

Selected Publications

Semi-automated prestack seismic inversion workflow using temporal convolutional networks. Hussain Alfayez, Robert Smith, Ayman Suleiman and Nasher AlBinHasan, Second International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2022.

Simulating seismic data using generative adversarial networks, Wallet, Bradley C., Eyad Aljishi, and Hussain Alfayez, Second International Meeting for Applied Geoscience & Energy. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2022.

Robust deep learning-based seismic inversion workflow using temporal convolutional networks. Robert Smith, Philippe Nivlet, Hussain Alfayez, and Nasher AlBinHassan, Interpretation 10.2 (2022): SC41-SC55.

Education

  • B.S. Petroleum Engineering, Missouri University of Science and Tech, MO, USA, 2016
  • B.S. Geology and Geophysics, Missouri University of Science and Tech, MO, USA, 2016

Professional Profile

  • Exploration Geophysicist, ARAMCO, Exploration, 2016-2019.
  • Research Geophysicist, ARAMCO, EXPEC Advanced Research Center, 2019- present.

Scientific and Professional Membership

  • Society of Petroleum Engineers (SPE) , Society of Exploration Geophysicists (SEG) , European
  • Association of Geoscientists and Engineers (EAGE)

KAUST Affiliations

Research Interests Keywords

Reservoir simulation Machine/Deep Learning Seismic Inversion