Baker Hughes Oilfield Operations LLC

John Passarelli

John Robert Hare

Vladimir Shapiro

Thai Hoang

Matthias Odisio

Ozge Can Whiting

Taufiq Dhanani

Rajeev Bhatt

Edvardas Kairiukstis

Mustafa Gokhan Uzunbas

Weiwei Qian

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.

Segmentation and prediction of low-level temporal plume patterns

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Boston, MA, United States of America

John Passarelli