Baker Hughes has donated JewelSuite™ reservoir modeling software to KAUST to enhance teaching, learning, and research. The software simplifies modeling and streamlines the building of accurate 3-D reservoir models. It will enable students and faculty to gain a clearer picture of the subsurface and predict oil or gas deposits. Why it matters: This donation will help KAUST train future leaders in the petroleum engineering industry and advance research in reservoir modeling.
Lockheed Martin and King Abdullah University of Science and Technology (KAUST) signed a memorandum of understanding on November 15. The agreement was signed by Lockheed Martin Chairman, President and CEO Marillyn Hewson and KAUST Interim President Nadhmi Al-Nasr. Why it matters: This partnership could foster collaboration on advanced technology research and development in Saudi Arabia.
KAUST and GE have partnered to study the feasibility of using crude oils like Arabian Super Light (ASL) to power heavy-duty gas turbines. The collaboration aims to develop turbines capable of burning crude oil directly from the ground to meet Saudi Arabia's energy security needs. The research involves building a rig at KAUST's High Pressure Combustion Laboratory (HPCL) to conduct corrosion tests on turbine materials by burning ASL/AXL crude continuously for 2,000 hours. Why it matters: This partnership could reduce reliance on natural gas and offer an economically viable alternative fuel source, bolstering energy security in Saudi Arabia and potentially influencing turbine technology worldwide.
KAUST Professors Hussein Hoteit and Satoshi Habuchi are collaborating to optimize hydrocarbon extraction using polymers. Hoteit's expertise in energy resources and petroleum engineering combines with Habuchi's molecular imaging tools. Their approach, known as polymer flooding, reduces costs and environmental impact by using less water. Why it matters: This interdisciplinary collaboration highlights KAUST's role in fostering innovative solutions for enhanced oil recovery, a critical area for Saudi Arabia's energy sector.
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.
A KAUST article discusses the future of energy, highlighting the role of hydrocarbon fuels and the need for sustainable practices. Professor Tadeusz W. Patzek's paper emphasizes finding sustainable bridges until alternative energy sources become viable. The article contrasts optimistic and pessimistic views on energy sustainability, drawing parallels to the whale oil industry. Why it matters: The piece highlights the tension between continued reliance on fossil fuels and the urgent need for alternative energy sources and reduced consumption in the GCC region and globally.
Air Products has joined the KAUST Industry Collaboration Program (KICP) as a strategic partner. This collaboration grants Air Products access to KAUST's research, technologies, talent pool, and infrastructure, including the KAUST Core Labs. The partnership will focus on areas like carbon capture, gas separation, and hydrogen production. Why it matters: This partnership strengthens KAUST's role as a hub for industry collaboration and provides Air Products with access to cutting-edge research and expertise in sustainable technologies.
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.