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US 2026/0204046 A1Published application
Flare stream classification with semantic segmentation and generative adversarial networks in normal and low-light conditions
AssigneeSchlumberger Technology Corporation
InventorsWeijia DU, Fatma MAHFOUDH, Josselin KHERROUBI, Julia TOGASHI DE MIRANDA, Salma BENSLIMANE, Charles TOUSSAINT, Sebastien CATHELINE, Thibault VEXIAU
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Abstract
Embodiments presented provide for a testing of flare streams. Classification of flare streams are performed by artificial intelligence in normal and low-light conditions by processing visual data of the flare stream system in a computer arrangement to achieve visual data results and performing a postprocessing of the visual data results to produce postprocessing results.
Claims14
A method for flare stream classification, comprising:
- obtaining visual data of a flare stream system, wherein the obtaining of the visual data is through a camera system not using infrared technology;
- processing the visual data of the flare stream system in a computer arrangement to achieve visual data results;
- performing a postprocessing of the visual data results to produce postprocessing results;
- and
- visually displaying the postprocessing results.
2 more elements
A method for flare stream classification, comprising:
- obtaining visual data of a flare stream system, wherein the obtaining of the visual data is through a camera system using infrared technology;
- processing the visual data of the flare stream system in a computer arrangement to achieve visual data results that are colorized;
- performing a segmentation on the visual data results that are colorized to produce segmented results;
- performing a postprocessing on the segmented results to produce postprocessing results;
- and
- visually displaying the postprocessing results.
3 more elements
Dependencies are inferred from the claim text.