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Synthetic data can accurately track environmental disasters

KAUST ·

KAUST and SARsatX have developed a method using Generative Adversarial Networks (GANs) to generate synthetic SAR imagery for training deep learning models to detect oil spills. Starting with just 17 real SAR images, they generated over 2,000 synthetic images to train a Multi-Attention Network (MANet) model. The MANet model, trained exclusively on synthetic data, achieved 75% accuracy in identifying oil spill areas, matching the performance of models trained on larger real datasets. Why it matters: This advancement enables faster and more reliable environmental monitoring using AI, even when real-world data is scarce, reducing the need to wait for actual disasters to occur.

Going to extremes to tackle oil contamination

KAUST ·

KAUST researchers analyzed bacterial communities from Deception Island, Antarctica, finding heat-loving bacteria with potential for oil cleanup. Postdoctoral student Junia Schultz is now characterizing the microbiome of extreme terrestrial environments in Saudi Arabia, including volcanoes and deserts. These extremophiles secrete surfactants to break down oil and absorb it into their cells for degradation. Why it matters: This research could lead to efficient and safe methods for cleaning up oil contamination using extremophiles found in both Antarctica and Saudi Arabia.

Getting more from oil

KAUST ·

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.

Laser focus on air pollution

KAUST ·

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.

Addressing global hydrocarbon concerns

KAUST ·

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.

Research reveals ocean plastics collecting point

KAUST ·

A collaborative research team including KAUST scientists has located a major sink for missing ocean plastic in coastal sediments and mangrove forests of the Red Sea and Arabian Gulf. Core samples showed a pattern of plastic sedimentation aligning with the history of global plastic production since the 1950s. Mangroves efficiently lock up microplastics in coastal soil, with plastic burial rates increasing similarly to global production. Why it matters: The findings highlight the critical role of mangroves in trapping plastic pollution and provide evidence that plastic sedimentation marks the start of a new geological epoch, the Anthropocene.

Researchers discover more plastic than expected in the ocean

KAUST ·

KAUST researchers studied microplastic distribution in the open ocean during a recent expedition. They found microplastics everywhere but in 100 times lower quantities than expected based on production estimates. The study found larger plastic debris at expected levels, but smaller microplastics were disappearing, suggesting they are either sinking or entering the marine food chain. Why it matters: This research highlights the urgent need to understand the fate of microplastics in marine ecosystems and their potential impact on marine life and human health.

MOU between KAUST startup and Luberef sets path for cleaner air

KAUST ·

KAUST startup uODS signed an MoU with Saudi Aramco Base Oil Company (Luberef) to develop and deploy technology removing sulfur from hydrocarbons. The uODS process, based on KAUST's sonochemistry research, reduces sulfur in marine fuels to meet IMO 2020 regulations. Luberef aims to reduce its environmental footprint by piloting the uODS technology at its Jeddah refineries, with uODS set to produce 10 tons per day of desulfurized fuel for testing. Why it matters: The partnership demonstrates KAUST's role in addressing Saudi Arabia's environmental goals and showcases the potential of university spin-offs to contribute to a more sustainable oil industry in the region.