KAUST's supercomputer Shaheen completed ultra-resolution subsurface mapping simulations for Saudi Aramco, producing a 3D image of subsurface geologic layers at a 7.5-meter resolution. Aramco scientists used integrated GeoDRIVE software to achieve this record resolution at a production scale, improving on prior simulations with tens of meters resolution. Shaheen, located in the KAUST Supercomputing Core Laboratory, is one of the largest CPU-based supercomputers globally, featuring 12,348 Intel Haswell CPUs. Why it matters: This achievement enables more precise resource extraction and geological understanding in the Arabian Peninsula, demonstrating the growing capabilities of regional supercomputing for industrial applications.
KAUST's Hydrology and Land Observation (Halo) lab, led by Matthew McCabe, is using drones and satellites to monitor agricultural water usage in Saudi Arabia. They employ thermal cameras, sensors, and imagery from CubeSats to map crop types, health, and water stress. The team uses machine learning and AI to analyze the images, aiming to promote sustainable water management. Why it matters: This research addresses critical water scarcity issues in the region by providing data-driven insights for more efficient agricultural practices.
KAUST researchers used 3D mapping technology via remote control helicopter to survey and create detailed renderings of Jeddah's Al Balad, a UNESCO World Heritage Site. The team, from KAUST's Visual Computer Center and FalconViz, captured high-definition images from about 50 meters above street level. This enabled the creation of accurate 3D models, showing building shifts and potential problems for urban planners. Why it matters: This method provides a rapid and accurate way to document and preserve historical landmarks, especially in areas where traditional surveying is difficult or infeasible, aiding in cultural heritage preservation efforts.
KAUST researchers are using AI to analyze satellite imagery for the automated detection of ancient stone structures in northwest Saudi Arabia, including mustatils (rectangular structures dating to the late 6th millennium BCE) and ruins in circular and triangular shapes. They developed a deep learning algorithm trained on manually identified datasets to isolate similar features over a wide area. The tool converts detected pixels into geodetic coordinates using GPS, assembling them into an online map and database. Why it matters: This project exemplifies computational archaeology, speeding up archaeological discoveries, promoting cultural heritage, and providing a methodology useful to other sectors of the economy.
Researchers from the Directed Energy Research Center (DERC) will present research papers at the 17th Workshop of the International Lithosphere Program Task Force on Sedimentary Basins in Abu Dhabi. Dr. Meixia Geng's study identifies potential geothermal exploration sites in the UAE based on Curie isotherm depths. Dr. Felix Vega's research demonstrates drone-borne synthetic aperture radar (SAR) for subsurface mapping of underground cavities. Why it matters: These studies showcase the UAE's commitment to sustainable development through geothermal energy exploration and advanced subsurface imaging techniques.
KAUST researchers have developed an enhanced hot-electron nanoscopy technique. The new method improves the resolution and sensitivity of mapping materials at the nanoscale. Why it matters: This advancement can accelerate materials science research and development in areas relevant to the GCC, such as sustainable energy and advanced manufacturing.