Segmentation and prediction of low-level temporal plume patterns

US11468538B2 · kind B2 · utility

Assignee

• Baker Hughes Oilfield Operations LLC · US

Inventors

• Ozge Can Whiting · Central Falls, US
• Rajeev Bhatt · Plainsboro, US
• Mustafa Gokhan Uzunbas · Niskayuna, US
• Thai Hoang · Houston, US
• Vladimir Shapiro · Sinsheim, DE
• John Passarelli · Weymouth, US
• Weiwei Qian · Niskayuna, US
• John Hare · Winnipeg, CA
• Taufiq Dhanani · Boston, US
• Matthias Odisio · Dallas, US
• Edvardas Kairiukstis · Boston, US

Key dates

• Filing date: Apr 3, 2020
• Grant date: Oct 11, 2022
• Expiry date: Sep 27, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/30108
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Computer vision based systems, and methods are provided for generating plume analysis data from a plurality of input image frames as captured by a camera. Image data associated with a plume of gas is received and provided as inputs to a predictive model used to determine plume analysis data including a plume prediction segmentation mask associated with the plume of gas. Other attributes of the plume are also estimated from the prediction segmentation mask such as cross-sectional area, cross-sectional velocity, leak source pixel and volumetric leak rates. The plume analysis data can be provided as an overlay atop the image data. The plume analysis data overlaid atop the image data can be transmitted by and/or to one or more computing devices.