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Ministry of Energy and Infrastructure Partners with Technology Innovation Institute to Build 3D Maps of UAE’s Mineral and Renewable Resources

TII ·

The UAE's Ministry of Energy and Infrastructure (MoEI) and the Technology Innovation Institute (TII) have partnered to create 3D maps of the UAE's mineral and renewable resources. TII's Directed Energy Research Center (DERC) will support MoEI in this effort, contributing its expertise to identify resources like geothermal energy and analyze geological data. The collaboration aims to support the UAE's Net Zero 2050 Strategy by enabling the exploration and utilization of undiscovered renewable and mineral resources. Why it matters: This initiative leverages local expertise to map domestic resources, aligning technological advancement with sustainability goals for the UAE.

DERC’s Dr. Meixia Geng and Dr. Felix Vega to Present Research Papers at ILP 2023

TII ·

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 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.

Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization

arXiv ·

This paper introduces Diffusion-BBO, a new online black-box optimization (BBO) framework that uses a conditional diffusion model as an inverse surrogate model. The framework employs an Uncertainty-aware Exploration (UaE) acquisition function to propose scores in the objective space for conditional sampling. The approach is shown theoretically to achieve a near-optimal solution and empirically outperforms existing online BBO baselines across 6 scientific discovery tasks.

Merchants in innovation

KAUST ·

KAUST hosted the KAUST Research Conference: Advances in Well Construction with Focus on Near-Wellbore Physics and Chemistry from November 7 to 9. The conference was co-chaired by Eric van Oort, a professor at UT Austin, and Tadeusz Patzek, director of the University’s Upstream Petroleum Engineering Research Center. Attendees included professors from the University of Queensland and UT Austin, and directors from GenesisRTS and Labyrinth Consulting Services, Inc. Why it matters: The conference facilitates international collaboration on advancements in petroleum engineering and well construction technologies, which are strategically important for Saudi Arabia.