Rajeev Ranjan Sinha

Title: Rajeev Ranjan Sinha and Machine Learning for Electrical Submersible Pumps.

Introduction

Rajeev Ranjan Sinha is an inventor based in Houston, Texas, and is associated with Schlumberger Technology Corporation. His patent work focuses on applying machine learning and domain knowledge to monitor and improve the performance of electrical submersible pumps (ESPs).

Latest Patents

Sinha is named on 1 patent: “Integrating Domain Knowledge with Machine Learning to Optimize Electrical Submersible Pump Performance.” The invention describes a method for monitoring an ESP by analyzing historical time-series operating data. It identifies data from healthy pump operation, extracts relevant features, and determines key performance indicators (KPIs). A machine-learning model is trained using those features and KPIs to predict target KPIs, then applied to monitor the pump’s operation or status.

Career Highlights

Sinha’s patent reflects work at the intersection of machine learning and industrial equipment monitoring. By incorporating data from healthy ESP operation into predictive models, the approach aims to support performance assessment and operational monitoring.

Collaborations

Sinha’s listed coworkers include Abhishek Sharma and Praprut Songchitruksa. His association with Schlumberger Technology Corporation places this work within the company’s broader focus on technologies for energy operations.

Conclusion

Rajeev Ranjan Sinha’s patented work combines historical operating data, performance indicators, and machine learning to support monitoring of electrical submersible pumps.