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Auto-segmentation technique for SEM images using machine learning: Asphaltene deposition case study.
Masakazu Gesho1, Wattana Chaisoontornyotin1, Omar Elkhatib1
1Department of Petroleum Engineering, University of Wyoming, Laramie, Wyoming, USA.
Ultramicroscopy
|July 28, 2020
Summary
This study introduces an automated image analysis method using machine learning to study asphaltene deposition from Scanning Electron Microscopy (SEM) images, improving understanding of petroleum constituent behavior.
Failed At:
2026-06-19T13:38:41.614658+00:00
Keywords:
Asphaltene DepositionAuto SegmentationData-Driven Decision-MakingDeep LearningMachine LearningSEM
