Abdullah Alali

PhD Students

Alumni

Location:

B#1/L#3 – 3305-WS09

Social Profile:

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 

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

KAUST Affiliations

Physical Science and Engineering (PSE) division, Earth Science and Engineering (ErSE) department 

Research Interests Keywords

Waveform imaging & inversion Deep learning Seismic imaging and velocity analysis 4D Seismic processing