KAUST and Saudi Aramco collaborated to develop a laser-based sensor for detecting trace amounts of gas leaks in petrochemical plants. The sensor uses machine learning to identify specific gases, differentiating it from previous sensors that only detect large leaks. The technology can differentiate between closely related industrial gases like benzene, toluene, ethyl benzene and xylene (BTEX). Why it matters: This innovation enables proactive monitoring and rapid pinpointing of leaks, enhancing safety, environmental protection, and operational efficiency in the petrochemical industry.
KAUST researchers led by Atif Shamim have developed a low-cost, 3D-printed wireless sensor node for real-time environmental monitoring. The disposable sensor nodes can detect noxious gases, temperature, and humidity, and have been tested in the lab and field, surviving drops and temperatures up to 70°C. The system aims to saturate high-risk areas with these sensors, linked wirelessly to fixed nodes that raise alarms. Why it matters: This innovation provides a cost-effective solution for large-scale environmental monitoring, addressing the limitations of expensive fixed sensors and satellite monitoring, and potentially revolutionizing early warning systems for wildfires and gas leaks in the region.
KAUST researchers developed a laser-based sensor that exploits the "chirp" phenomenon in semiconductor lasers to accurately measure gas temperature in combustion systems. The sensor uses spectroscopic measurements at very fast rates (1.0 MHz) and can measure temperature at the nanosecond timescale at repetition rates of thousands of kHz. The new sensor reduces uncertainty compared to previous methods and works rapidly in transient shock tube experiments. Why it matters: This in-house development provides a non-invasive, accurate, and easily implementable system for combustion research, with implications for understanding and improving energy efficiency.
Technology Innovation Institute (TII) has developed a drone-based Synthetic Aperture Radar (SAR) system capable of detecting underground water leaks at depths of up to 40 meters. The system uses P-, L-, and C-band radar signals to identify anomalies in soil moisture and subsurface disturbances. The SAR technology was previously validated for archaeology and infrastructure and is now optimized for sandy environments. Why it matters: This innovation offers a more efficient and sustainable method for monitoring infrastructure, reducing water loss and maintenance costs for utilities across the region.
KAUST researchers collaborated on a study in Iceland that found a correlation between changes in groundwater composition and earthquakes greater than magnitude 5. The study, published in Nature Geoscience, observed variations in dissolved element concentrations and stable isotopes prior to seismic events in 2012 and 2013. Earthquake prediction remains a challenge with differing views among scientists about its feasibility. Why it matters: Understanding earthquake precursors could lead to improved risk mitigation strategies for urban infrastructure in seismically active regions across the Middle East.
KAUST researchers are developing low-cost, mobile wireless sensors for smart city applications, focusing on flood monitoring. These sensors are designed to be deployed by UAVs and float in water, transmitting data to map flood extent. The system uses "Lagrangian sensing" to gather information from remote locations with minimal infrastructure. Why it matters: This technology offers a cost-effective solution for environmental monitoring and disaster management, particularly relevant for flood-prone areas in Saudi Arabia.
The KAUST Research Conference on Recovery of Difficult Hydrocarbons, organized by the Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC), addressed challenges in the oil and gas industry related to meeting global hydrocarbon demand within environmental and economic constraints. The conference featured 39 presentations and focused on technical solutions for environmentally sound recovery from complex oil and gas fields in the Middle East. Discussions covered topics such as multi-scale heterogeneous carbonate reservoirs, multi-scale imaging fractures, and modeling hydrocarbons. Why it matters: The conference highlights KAUST's role in addressing critical challenges facing hydrocarbon-dependent economies in the region through research and technology development.
KAUST Ph.D. student Muhammad Akram Karimi is developing low-cost microwave sensors for industrial applications, particularly in the oil industry, under the supervision of Professor Atif Shamim. He is working on a field prototype for Saudi Aramco based on his novel design. Karimi and his professor plan to form a startup to provide microwave sensing solutions and are collaborating with a Norwegian company to commercialize their sensor. Why it matters: This highlights KAUST's focus on industry-relevant research and its potential for commercialization through startups, particularly in the important oil and gas sector.