Lawrence, KS, United States of America

Steven Michael Virost

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: Steven Michael Virost. Retrieved from https://idiyas.com/inventor/steven-michael-virost

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Steven Michael Virost and Machine-Learning-Enabled Liner Hanger Operations

Introduction

Steven Michael Virost is an inventor associated with Lawrence, Kansas, and Schlumberger Technology Corporation. His patent work concerns applying machine learning to support operations during liner hanger jobs at wellsites.

Latest Patents

Virost is associated with 1 patent, titled “Liner hanger operations framework.” The invention describes receiving data from field equipment while a liner hanger job is underway, using one or more machine-learning models to infer whether an event has occurred, and controlling the job based at least partly on that inference.

Career Highlights

The patent reflects work at the intersection of wellsite operations, field-equipment data, and machine-learning-based decision support. It outlines a framework for using operational data to help guide the performance of a liner hanger job.

Collaborations

Virost’s listed coworkers include Tianjun Hou and Minyue Liu. The patent is associated with Schlumberger Technology Corporation.

Conclusion

Steven Michael Virost’s patent highlights a data-driven approach to managing liner hanger operations, using machine-learning inferences to inform wellsite job control.

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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