Measurements of the Thickness and Area of Thick Oil Slicks Using Ultrasonic and Image Processing Methods

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 12; p. 2977
• Main Authors: Du, Hualong, Fan, Huijie, Zhang, Qifeng, Li, Shuo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-06-2023
• Subjects: Accuracy; Acoustics; Algorithms; Cross correlation; Crude oil; Equipment and supplies; Image processing; In situ measurement; Inspection; Lasers; Mathematical analysis; Measurement; Methods; oil slick thickness and area; Oil slicks; Oil spills; optical image processing; Regression analysis; Remote sensing; remotely operated vehicle (ROV); Remotely operated vehicles; Sensors; six-rotor airborne drone; Thickness; Transducers; Travel time; Ultrasonic imaging; ultrasonic measurement; Ultrasonic testing; Ultrasonic transducers; China
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs15122977

The in situ measurement of thick oil slick thickness (>0.5 mm) and area in real time in order to estimate the volume of an oil spill is very important for determining the oil spill response strategy and evaluating the oil spill disposal efficiency. In this article, a method is proposed to assess the volume of oil slicks by simultaneously measuring the thick oil slick thickness and area using ultrasonic inspection and image processing methods, respectively. A remotely operated vehicle (ROV), integrating two ultrasonic immersion transducers, was implemented as a platform to receive ultrasonic reflections from an oil slick. The oil slick thickness was determined by multiplying the speed of sound by the ultrasonic traveling time within the oil slick, which was calculated using the cross-correlation method. Images of the oil slick were captured by an optical camera using an airborne drone. The oil slick area was calculated by conducting image processing on images of the oil slick using the proposed image processing algorithms. Multiple measurements were performed to verify the proposed method in the laboratory experiments. The results show that the thickness, area and volume of a thick oil slick can be accurately measured with the proposed method. The method could potentially be used as an applicable tool for measuring the volume of an oil slick during an oil spill response.