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1. WO2020206407 - SEGMENTATION AND PREDICTION OF LOW-LEVEL TEMPORAL PLUME PATTERNS

Publication Number WO/2020/206407
Publication Date 08.10.2020
International Application No. PCT/US2020/026813
International Filing Date 06.04.2020
IPC
G01M 3/38 2006.01
GPHYSICS
01MEASURING; TESTING
MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
3Investigating fluid tightness of structures
38by using light
G01N 21/88 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws, defects or contamination
G06T 7/11 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
11Region-based segmentation
G06N 3/08 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G01N 21/892 2006.01
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
84Systems specially adapted for particular applications
88Investigating the presence of flaws, defects or contamination
89in moving material, e.g. paper, textiles
892characterised by the flaw, defect or object feature examined
CPC
B25J 19/023
BPERFORMING OPERATIONS; TRANSPORTING
25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
19Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
02Sensing devices
021Optical sensing devices
023including video camera means
G06T 1/0014
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
1General purpose image data processing
0014Image feed-back for automatic industrial control, e.g. robot with camera
G06T 2207/10048
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
2207Indexing scheme for image analysis or image enhancement
10Image acquisition modality
10048Infrared image
G06T 7/12
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
10Segmentation; Edge detection
12Edge-based segmentation
Applicants
  • BAKER HUGHES OILFIELD OPERATIONS LLC [US]/[US]
Inventors
  • WHITING, Ozge Can
  • AMBATI, Rajeev Bhatt
  • UZUNBAS, Mustafa Gokhan
  • HOANG, Thai
Agents
  • FITZGERALD, Carmen
  • QUINN, Thomas F., Jr.
Priority Data
16/839,59103.04.2020US
62/829,82605.04.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SEGMENTATION AND PREDICTION OF LOW-LEVEL TEMPORAL PLUME PATTERNS
(FR) SEGMENTATION ET PRÉDICTION DE MOTIFS DE PANACHE TEMPOREL DE FAIBLE NIVEAU
Abstract
(EN)
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.
(FR)
L'invention concerne des systèmes et des procédés basés sur la vision par ordinateur pour générer des données d'analyse de panache à partir d'une pluralité de trames d'image d'entrée telles que capturées par une caméra. Des données d'image associées à un panache de gaz sont reçues et fournies en tant qu'entrées à un modèle prédictif utilisé pour déterminer des données d'analyse de panache comprenant un masque de segmentation de prédiction de panache associé au panache de gaz. D'autres attributs du panache sont également estimés à partir du masque de segmentation de prédiction, tels que l'aire de section transversale, la vitesse de section transversale, un pixel de source de fuite et des taux de fuite volumétrique. Les données d'analyse de panache peuvent être fournies sous la forme d'un recouvrement sur des données d'image. Les données d'analyse de panache recouvrant les données d'image peuvent être transmises par et/ou à un ou plusieurs dispositifs informatiques.
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