Abdullah Alali

PhD Students

PhD Student

Alumni

Research Interests

Waveform inversion, 4D seismic processing, Deep learning, Seismic imaging and velocity analysis.

Selected Publications

Alali, A., & Alkhalifah, T. (2022, August). "Integrating U-net with full-waveform inversion for an efficient salt body construction". In Second International Meeting for Applied Geoscience & Energy (pp. 917-921). Society of Exploration Geophysicists and American Association of Petroleum Geologists.

Alali, A., Kazei, V., Kalita, M., & Alkhalifah, T. (2022). Deep learning unflooding for robust subsalt waveform inversion. Geophysical prospecting.

Alali, A., Kazei, V., Sun, B., & Alkhalifah, T. (2022). "Time-lapse data matching using a recurrent neural network approach". Geophysics, 87(5), 1-83.

Alali, A., Smith, R., Nivlet, P., Bakulin, A., & Alkhalifah, T. (2021, October). "Time-lapse seismic cross-equalization using temporal convolutional networks". In SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy. OnePetro.

AlAli, A., & Anifowose, F. (2021). "Seismic velocity modeling in the digital transformation era: a review of the role of machine learning". Journal of Petroleum Exploration and Production Technology, 1-14.

Alali, A., Sun, B., & Alkhalifah T. (2020), "The effectiveness of a pseudo‐inverse extended Born operator to handle lateral heterogeneity for imaging and velocity analysis applications", Geophysical Prospecting, 68(4), 1154-1166.

Education

  • Ph.D., Earth science and engineering, KAUST, 2018-present 
  • MS.,Earth science and engineering, KAUST, 2018 
  • B.Sc.,Geophysics, King Fahd University of Petroleum and Minerals, 2016 

Professional Profile

 

Scientific and Professional Membership

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

Awards

  • The best in show award in the 83rd EAGE annual meeting explainable AI Hackathon. 2022
  • The Dean’s award for outstanding students in the Earth science program at KAUST. 2022
  • The 1st place award in KAUST GPU Hackathon for accelerating scientific application.
  • The 1st place in the SEG/DGS challenge bowl in the middle east and 2nd place in the final round held in the SEG annual meeting in Anaheim, California. 2018