Dhahran, Saudi Arabia

Balakoteswara R Koppuravuri

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Saudi Arabian Oil Company. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Balakoteswara R Koppuravuri. Retrieved from https://idiyas.com/inventor/balakoteswara-r-koppuravuri

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

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.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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