Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
SEGMENTATION AND PREDICTION OF LOW-LEVEL TEMPORAL PLUME PATTERNS
Document Type and Number:
WIPO Patent Application WO/2020/206407
Kind Code:
A3
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.

Inventors:
WHITING OZGE CAN (US)
AMBATI RAJEEV BHATT (US)
UZUNBAS MUSTAFA GOKHAN (US)
HOANG THAI (US)
Application Number:
PCT/US2020/026813
Publication Date:
November 26, 2020
Filing Date:
April 06, 2020
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
BAKER HUGHES OILFIELD OPERATIONS LLC (US)
International Classes:
G01M3/38; G01N21/88; G01N21/892; G06N3/08; G06T7/11
Domestic Patent References:
WO2018231735A12018-12-20
Foreign References:
KR101869442B12018-06-20
US20190101490A12019-04-04
US10031040B12018-07-24
Other References:
FRIZZI SEBASTIEN; KAABI RABEB; BOUCHOUICHA MOEZ; GINOUX JEAN-MARC; MOREAU ERIC; FNAIECH FARHAT: "Convolutional neural network for video fire and smoke detection", IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, IEEE, 23 October 2016 (2016-10-23), pages 877 - 882, XP033033398, DOI: 10.1109/IECON.2016.7793196
Attorney, Agent or Firm:
FITZGERALD, Carmen et al. (US)
Download PDF: