Sarafudheen M Tharayil

Title: Sarafudheen M Tharayil: Applying Machine Learning to Corrosion Prediction.

Introduction

Sarafudheen M Tharayil is an inventor based in Dhahran, Saudi Arabia, and works at Saudi Arabian Oil Company. His patent work focuses on using machine learning to assess internal corrosion risks in gas flow lines.

Latest Patents

Tharayil is associated with 1 patent, titled “Predicting Internal Corrosion in Gas Flow Lines Using Machine Learning.” The invention describes a system that evaluates data about gas flow lines, including gas flow rate, pressure, and additives such as corrosion inhibitors. A computerized neural network uses these properties to estimate each line’s corrosion risk. When the risk metric exceeds a specified threshold, the system generates a notification for a user.

Career Highlights

The patent reflects an application of neural-network analysis to industrial monitoring. By combining operating conditions with information about gas additives, the method is designed to help identify flow lines that may warrant attention.

Collaborations

Tharayil’s listed coworkers include Mohammad S Al-Qahtani and Muhammad Sohaib Khan. His work is associated with Saudi Arabian Oil Company.

Conclusion

Sarafudheen M Tharayil’s patent highlights the use of machine learning to assess corrosion risks and notify users when gas flow line conditions exceed a defined threshold.