This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Saudi Arabian Oil Company. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Balakoteswara R Koppuravuri: Machine Learning for Corrosion Prediction
Introduction
Balakoteswara R Koppuravuri is an inventor based in Dhahran, Saudi Arabia, and works at Saudi Arabian Oil Company. His patent work applies machine learning to help assess internal corrosion risks in gas flow lines.
Latest Patents
Koppuravuri is associated with 1 patent, titled “Predicting Internal Corrosion in Gas Flow Lines Using Machine Learning.” The disclosed method uses data about gas flow rate, pressure, and additives—including corrosion-inhibiting substances—to evaluate corrosion risk for multiple gas flow lines. A computerized neural network determines a risk metric for each line, compares it with a threshold, and generates a notification when the metric exceeds that threshold.
Career Highlights
His patent reflects the use of data-driven analysis in monitoring gas infrastructure. By combining operational properties with neural-network assessment, the method is designed to identify lines that may warrant attention.
Collaborations
Koppuravuri’s listed coworkers include Fathi BuGubaia and Mohammad S Al-Qahtani. His work is associated with Saudi Arabian Oil Company.
Conclusion
Balakoteswara R Koppuravuri’s patent describes a machine-learning approach to assessing internal corrosion risks in gas flow lines and notifying users when risk levels exceed a defined threshold.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
