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KAUST delivers supercomputing breakthrough in multi-dimensional seismic processing

KAUST ·

KAUST and Cerebras Systems collaborated on multi-dimensional seismic processing using the Condor Galaxy AI supercomputer, achieving record sustained memory bandwidth of 92.58 petabytes per second. They developed a Tile Low-Rank Matrix-Vector Multiplication (TLR-MVM) kernel to exploit the architecture of Cerebras CS-2 systems. This work was recognized as a finalist for the 2023 Gordon Bell Prize. Why it matters: This demonstrates the potential of AI-customized architectures for seismic processing, with broader implications for climate modeling and other scientific domains in the region and globally.

KAUST Ph.D. students win best presentation awards

KAUST ·

KAUST Ph.D. students Kai Lu and Yuqing Chen won Best Presentation awards at a Society of Exploration Geophysicists workshop in Beijing. Lu's research focuses on machine learning applications in seismic processing, while Chen uses machine learning for automated semblance spectrum picking. They both leverage KAUST's Shaheen II supercomputer for their work. Why it matters: This highlights the increasing role of AI and ML in the oil and gas industry, and KAUST's contribution to advancing these technologies.

KAUST Ph.D. student wins best student presentation

KAUST ·

KAUST Ph.D. student Zhaolun Liu won the best student presentation at the 2017 Society of Exploration Geophysicists (SEG) Full-Waveform Inversion (FWI) and Beyond Workshop in Beijing. Liu's presentation was on "3D Wave-Equation Dispersion Inversion of Surface Waves," based on a paper co-authored with Jing Li and Professor Gerard Schuster. The paper describes a new method called wave equation dispersion inversion (WD) for inverting surface waves. Why it matters: This award recognizes KAUST's contributions to geophysics and seismic imaging, highlighting the university's research capabilities and access to high-performance computing.

Cross-disciplinary collaboration results in groundbreaking earthquake research

KAUST ·

KAUST researchers from statistics and earth science collaborated to improve earthquake source modeling. They developed a statistical ranking tool to classify 2D fields, applicable to geoscience models like temperature or precipitation. The tool helps compare different 2D fields describing the earthquake source process and quantify inter-event variability. Why it matters: This cross-disciplinary approach enhances the reliability of earthquake rupture models, contributing to better hazard assessment and risk management in seismically active regions.

Geophysicists at KAUST assess “doublet” earthquake phenomenon in Turkey

KAUST ·

Geophysicists at KAUST are investigating the "doublet" earthquake phenomenon in Turkey, where two strong earthquakes of magnitude 7.8 and 7.7 occurred within nine hours of each other on separate faults. Researchers from the Crustal Deformation and InSAR Group and the Computational Earthquake Seismology research group are using satellite and seismic data to examine the earthquake rupture process. The National Center for Earthquake and Volcano monitoring (NCEV) of the Saudi Geological Survey contributes seismic recordings to the KAUST teams. Why it matters: Understanding such earthquake doublets is crucial for improving seismic hazard assessment and risk mitigation in the region and globally.

KAUST alumnus Jagdish Chandra Vyas wins seismology poster award

KAUST ·

KAUST alumnus Jagdish Chandra Vyas (Ph.D. '17) received a Student Presentation Award at the Seismological Society of America (SSA) Annual Meeting for his poster "Mach Wave Coherence in the Presence of Source and Medium Heterogeneity." Vyas's Ph.D. research at KAUST, under the direction of Professor Martin Mai, focused on analyzing the effects of rupture complexity and heterogeneities in Earth structure on near-source ground motions. He is currently a postdoctoral scholar at the University of Canterbury, New Zealand. Why it matters: This award recognizes the high-caliber research being conducted at KAUST and its impact on the field of seismology.

New KAUST 3D model offers more accurate hazard assessments for earthquakes

KAUST ·

KAUST researchers have developed a detailed 3D dynamic model using data from the February 2023 Turkiye earthquake to improve earthquake simulations. The model incorporates 3D fault geometry and Earth structure for realistic simulations of ground shaking. It explains complex ground shaking patterns and the impact of supershear ruptures, which can amplify damage far from the epicenter. Why it matters: This research provides a more accurate understanding of earthquake rupture processes, crucial for seismic hazard assessment and infrastructure planning in seismically active regions like the Middle East.

Imaging and Active Tectonics of the Red Sea Region Workshop

KAUST ·

KAUST held the Imaging and Active Tectonics of the Red Sea Region workshop, gathering over 20 international and 30 local researchers. The workshop aimed to improve understanding of seismicity, volcanism, and Earth structure in Saudi Arabia and the Red Sea region. Participants came from countries surrounding the Red Sea, as well as the US, UK, France, Brazil, and South Korea. Why it matters: The event fosters international collaboration and data exchange to better monitor and model seismic and volcanic activity in a geologically active region.