Boston, MA, United States of America

Matthieu Boujonnier

USPTO Granted Patents = 4 

 

Average Co-Inventor Count = 4.6

ph-index = 1


Company Filing History:


Years Active: 2025

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4 patents (USPTO):Explore Patents

Title: Innovations by Matthieu Boujonnier in Machine Learning for Well Operations

Introduction

Matthieu Boujonnier is an accomplished inventor based in Boston, MA (US). He has made significant contributions to the field of machine learning, particularly in the context of well operations. With a total of 4 patents to his name, Boujonnier's work focuses on enhancing the efficiency and safety of well site operations through advanced analytics.

Latest Patents

His latest patents include groundbreaking systems and methods for predicting well site failure modes and times using machine learning analytics. These innovations utilize machine learning (ML) based analytics at the well site to monitor and control operations in real-time. The systems perform ML-based analytics on data collected via an edge device directly at the well site. This technology detects operations that deviate from expected norms and automatically responds to such abnormalities. The edge device is capable of issuing alerts regarding abnormal operations and taking predefined steps to mitigate potential damage. Furthermore, it can anticipate failures and predict the time to failure by analyzing operational data against normal operations data. This proactive approach significantly decreases downtime, minimizes lost productivity and costs, and reduces health and safety risks for field personnel.

Career Highlights

Matthieu Boujonnier is currently employed at Schneider Electric Systems USA, Inc., where he continues to innovate in the field of machine learning and well operations. His work is instrumental in advancing the capabilities of real-time monitoring systems, which are crucial for the oil and gas industry.

Collaborations

He collaborates with talented professionals such as Bartosz Boguslawski and Loryne Bissuel-Beauvais, contributing to a dynamic and innovative work environment.

Conclusion

Matthieu Boujonnier's contributions to machine learning in well operations exemplify the potential of technology to enhance safety and efficiency in the industry. His patents reflect a commitment to innovation that addresses critical challenges in well site management.

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