GROWTH OPPORTUNITIES IN OIL SPILL DETECTION TECHNOLOGIES

Description

This edition of the Oil & Gas TOE features information on the utilization of deep neural networks for the effective detection of oil spills, deployment of oil spill monitoring as-a-service systems for cost-effective operations and maintenance of oil & gas fields and the design and use of autonomous robots for detection and removal of oil spills from remote oil fields. The TOE also features information on the use of a baseball-sized device for efficient inspection and maintenance of oil and gas pipelines, use of artificial intelligence for real-time prediction of pipeline leakages. The TOE also focuses on innovations associated with the development of ultrasound-based imaging technique to enable 360-degree scan of oil wells, and the latest information on the utilization of machine learning algorithms for estimating oil viscosity. The TOE additionally provides insights on the use of high definition nuclear magnetic resonance to provide real time analysis on oil & gas productivity, and the latest developments in the use of inventory management platforms aided with machine learning algorithms to maintain demand supply management without incurring losses.

The Oil and Gas TOE provides intelligence on innovations pertaining to technologies, products, and processes, along with strategic insights, in the upstream and downstream processes in the oil and gas industry.

The Energy and Utilities cluster provides global insights and intelligence on a wide variety of disruptive emerging technologies and platforms ranging from energy storage, advanced batteries, solar and wind energy, to unconventional oil, bioenergy, geothermal energy, and energy transmission.

Keywords: Deep neural networks, synthetic aperture radars, carbon nanoparticles, oil spill monitoring as-a-service, nuclear magnetic resonance, ultrasound imaging, virtual reality, artificial intelligence.