Baker Hughes Oilfield Operations LLC

Baker Hughes Holdings LLC

Matthias Odisio

Vladimir Shapiro

Rick C Hunter

Ozge Whiting

John Robert Hare

Thai Hoang

Weiwei Qian

Taufiq Dhanani

Ozge Can Whiting

Edvardas Kairiukstis

Rajeev Bhatt

John Passarelli

Michael Clatworthy

Mustafa Gokhan Uzunbas

John Hare

In an embodiment, a volumetry method is provided. The method can include receiving one or more 2D images of a site including one or more containers configured to hold a liquid, the 2D images being acquired at a first time. The method can also include identifying a container within the 2D images. The method can further include selecting an identified container within the 2D images for volumetric analysis based upon a degree of occlusion of its front facing surface. The method can additionally include classifying a portion of the selected container containing the liquid. The method can further include determining the volume of liquid held within the container based upon the classified portion.

Remote contactless liquid container volumetry

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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Dallas, TX, United States of America

Matthias Odisio