Denver, CO, United States of America

Brandon Francis Hruby

This inventor holds 1 USPTO granted patent. Top assignee: Chevron U.s.a. Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Brandon Francis Hruby. Retrieved from https://idiyas.com/inventor/brandon-francis-hruby

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


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: Brandon Francis Hruby: Applying Machine Learning to Hydraulic Fracturing

Introduction

Brandon Francis Hruby is an inventor based in Denver, Colorado. His patented work applies machine learning and predictive analytics to help identify fracture-driven interactions during hydraulic fracturing operations.

Latest Patents

Hruby is named on 1 patent, titled “Method and System for Machine Learning and Predictive Analytics of Fracture Driven Interactions.” The invention describes a computing system that trains a machine-learning model using well-treatment pumping data, offset-well production data, and well-stage data. After extracting features from these sources, the model estimates the probability of a fracture-driven interaction associated with a hydrocarbon well. It can also be deployed during ongoing hydraulic fracturing operations to support real-time prediction and help reduce such interactions.

Career Highlights

Hruby is associated with Chevron U.S.A. Inc. His patent reflects the use of data-driven methods to address operational challenges in hydrocarbon well development.

Collaborations

Hruby’s listed coworker is Cory Layne Miller. The patent information provided identifies Hruby’s work and its technical focus but does not specify the coworker’s role in the invention.

Conclusion

Brandon Francis Hruby’s patented invention brings machine learning and predictive analytics to fracture-driven interaction assessment, with the aim of supporting more informed decisions during hydraulic fracturing operations.

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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