Helenio Gilabert

Title: The Innovative Contributions of Helenio Gilabert

Introduction

Helenio Gilabert is a notable inventor based in Calgary, Canada. He has made significant contributions to the field of machine learning and analytics, particularly in the context of well operations. His innovative approach has the potential to enhance efficiency and safety in the oil and gas industry.

Latest Patents

Helenio holds a patent for a system titled "Well site machine learning based analytics." This invention focuses on real-time monitoring and control of well operations using machine learning (ML) based analytics. The system performs ML-based analytics on data collected at the well site through an edge device. This device detects operations that deviate from expected norms and can automatically respond to such abnormalities. It issues alerts regarding these abnormal operations and takes predefined steps to mitigate potential damage. Additionally, the edge device can anticipate failures and predict the time to failure by analyzing operations data, which helps decrease downtime and minimize lost productivity and costs. This innovation also aims to reduce health and safety risks for field personnel.

Career Highlights

Helenio is currently employed at Schneider Electric Systems USA, Inc., where he applies his expertise in machine learning and analytics to improve well operations. His work is instrumental in advancing the integration of technology in the oil and gas sector.

Collaborations

Some of his notable coworkers include Bartosz Boguslawski and Matthieu Boujonnier, who collaborate with him on various projects within the company.

Conclusion

Helenio Gilabert's contributions to machine learning and analytics in well operations exemplify the impact of innovative thinking in the energy sector. His patent reflects a commitment to enhancing operational efficiency and safety, marking him as a significant figure in his field.