Schlumberger Technology Corporation

Matthew Bronars

Tianxiang Su

Suraj Kiran Raman

Zhandos Ombayev

Systems and methods are disclosed herein for identifying cable damage using machine vision, such as on a cable being fed down a wellbore from a cable spool in an oil and gas operation. An example method can include providing a camera directed toward a cable that is winding upon, or unwinding from, a cable spool. The method can also include capturing a plurality of frames of images of the cable by the camera, such as by capturing video. The captured frames can be cropped to remove portions of the frames that do not include the cable. The method can further include processing the cropped frames using a machine-learning model. The machine-learning model can be trained using images of known cable damage as inputs so it can identify new instances of damage. The machine-learning model can further classify each cropped frame as including damage or not including damage.

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Atlanta, GA, United States of America

Matthew Bronars