Marine Sensor System. Real-time monitoring of produced water discharge area. Ruggedized, autonomously operating HLIF LiDAR.
The SEA OWL™ can be mounted on various vessel types, enabling real-time monitoring and data collection from OSRVs, PSVs, and drillships amongst others.
SEA OWL™ is capable of real-time monitoring of produced water discharge area. It is also capable of monitoring an oil storage facility like a loading buoy or terminal area.
Super OWL™ is designed with a pan/tilt gimbal, enabling reach within the 500 meter security perimeter surrounding a rig, FPSO or drillship.
The SEA OWL™ can handle rough weather such as extreme cold and is well suited for Arctic conditions. SEA OWL™ has also operated over longer periods in tropical conditions in the Gulf of Mexico and Brazilian waters, equipped with a cooling unit.
Algorithms, convolutional neural networks and deep learning models can assist in the analysis of satellite images for early detection. Prediction models can provide useful event forecasts and help in the cleanup and handling process.
Monitor large areas quickly, identify subtle patterns and provide real-time updates for immediate action. By utilizing these models we can predict oil spill movement based on factors like ocean currents and wind, allowing for proactive measures.
Machine learning can also suggest the best cleanup methods and improvements by analyzing past operations and environmental conditions.When developing predictive models and AI systems using machine learning, access to relevant, high-quality sensor data is essential for accurate analysis and meaningful correlations.
Sensor data are visualized in real-time via OWL™ MAP. Combine data with other layers of information, e.g. automatic identification of ships (AIS) and weather data.
Leave your details below, and we will be in touch.
“The operational use of this technology has the potential to improve the verification of suspicious oil features, the detection of oil in the water column, reducing the need for conventional laboratory analysis.”
Cristina Maria Bentz