This inventor holds 2 USPTO granted patents and 1 EPO patent. Top assignee: Schlumberger Technology Corporation. Active years: 2024-2026.
Company Filing History:
Years Active: 2024-2026
Title: Laetitia Shao: Innovator in Rig State Detection Technology
Introduction
Laetitia Shao is a prominent inventor based in Menlo Park, California. She has made significant contributions to the field of drilling technology, particularly through her innovative patent related to rig state detection using video data. Her work exemplifies the intersection of machine learning and practical applications in the oil and gas industry.
Latest Patents
Laetitia Shao holds a patent for a method titled "Rig state detection using video data." This patent describes a comprehensive approach that includes receiving training images of a drilling rig over a specified period, associating these images with the times they were captured, and determining the rig state at those times. The method further involves classifying the images based on the rig state, training a machine learning model to identify rig states, and applying this model to additional images to determine rig states during a subsequent period.
Career Highlights
Throughout her career, Laetitia has worked with notable companies in the industry, including Schlumberger Technology Corporation and Services Petroliers Schlumberger. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to advancements in drilling technology.
Collaborations
Laetitia has collaborated with talented professionals in her field, including Suhas Suresha and Indranil Roychoudhury. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Laetitia Shao is a trailblazer in the field of rig state detection technology, with a patent that showcases her innovative approach to solving complex problems in the drilling industry. Her contributions continue to influence advancements in this critical sector.