Dhahran, Saudi Arabia

Duaa Abdrabalamir Alsenan

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Duaa Abdrabalamir Alsenan. Retrieved from https://idiyas.com/inventor/duaa-abdrabalamir-alsenan

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Duaa Abdrabalamir Alsenan: Inventor in Corrosion Monitoring

Introduction

Duaa Abdrabalamir Alsenan is an inventor based in Dhahran, Saudi Arabia. She is associated with Schlumberger Technology Corporation and is named on 1 patent concerning corrosion monitoring and operational planning for wells.

Latest Patents

Alsenan’s patent, “Processes for Monitoring Corrosion and Carrying Out Operational Plans Using Same,” describes methods for monitoring downhole corrosion and guiding operational plans. The process can gather corrosion factors and corrosion-loss logs for a well, store the information in a repository, and use a machine-learning model to generate a corrosion prediction. The factors, logs, and prediction can then be presented together on a user dashboard to support decisions about an operational plan, which can subsequently be carried out.

Career Highlights

Alsenan’s listed invention applies data analysis and machine learning to a practical challenge in well operations. By bringing corrosion information and predictive results into a shared dashboard, the approach is designed to help inform operational planning.

Collaborations

The supplied information identifies Sachit Saumya and Apoorva Kumar as Alsenan’s coworkers. Her company affiliation is Schlumberger Technology Corporation.

Conclusion

Duaa Abdrabalamir Alsenan’s patent reflects an application of machine learning and corrosion data to support operational decisions for wells.

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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