Dhahran, Saudi Arabia

Ali Hussein Al Ali

This inventor holds 1 USPTO granted patent. Top assignee: Schlumberger Technology Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ali Hussein Al Ali. Retrieved from https://idiyas.com/inventor/ali-hussein-al-ali

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

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ali Hussein Al Ali: Inventor in Corrosion Monitoring

Introduction

Ali Hussein Al Ali is an inventor associated with Dhahran, Saudi Arabia, and Schlumberger Technology Corporation. His patent work addresses monitoring downhole corrosion and using the resulting information to guide operational plans for wells.

Latest Patents

Al Ali is credited with 1 patent: “Processes for Monitoring Corrosion and Carrying Out Operational Plans Using Same,” also described as “Processes for Monitoring Downhole Corrosion and Directing Operational Plans Using Same.”

The disclosed process can acquire corrosion factors and corrosion-loss logs for a well and provide them to a repository. A machine-learning model can use the repository to generate a corrosion prediction. The factors, logs, and prediction can then be combined in a user dashboard to help determine an operational plan, which can subsequently be carried out.

Career Highlights

Al Ali’s listed patent reflects work at the intersection of well operations, corrosion monitoring, and machine learning. The approach is designed to bring multiple sources of corrosion information together to support operational planning.

Collaborations

Al Ali’s listed coworkers include Sachit Saumya and Apoorva Kumar. The patent’s described workflow also involves combining corrosion data and model-generated predictions in a dashboard for operational decision-making.

Conclusion

Ali Hussein Al Ali’s patent focuses on using corrosion data and machine-learning predictions to inform well operations, highlighting a practical application of data-driven innovation in the energy industry.

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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