This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Schlumberger Technology Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Mahyar Mohajer: Innovator in Electric Submersible Pump Technology
Introduction
Mahyar Mohajer is a notable inventor based in Houston, TX (US). He has made significant contributions to the field of electric submersible pumps (ESPs). His innovative approach focuses on utilizing machine learning to enhance the reliability and efficiency of these critical systems.
Latest Patents
Mahyar holds a patent for an Automated Electric Submersible Pump (ESP) failure analysis. This patent describes a method, apparatus, and program product that leverages data associated with ESPs to train a machine learning model. The technology aims to perform failure analysis on ESPs, encoding features from the data into a machine-readable format for better integration with the machine learning model. This advancement is crucial for improving the operational reliability of ESPs in various applications.
Career Highlights
Mahyar Mohajer is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work at Schlumberger involves developing innovative solutions that address the challenges faced by electric submersible pumps. His expertise in machine learning and data analysis positions him as a valuable asset in the field.
Collaborations
Mahyar collaborates with talented professionals such as John Pang and Alfredo De La Fuente. These collaborations enhance the development of innovative technologies and contribute to the advancement of ESP systems.
Conclusion
Mahyar Mohajer's contributions to the field of electric submersible pumps through his innovative patent and work at Schlumberger Technology Corporation highlight his role as a key inventor in this domain. His efforts in integrating machine learning with pump technology pave the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile