New Cairo, Egypt

Adly Helba

This inventor holds 1 USPTO granted patent. Top assignee: Halliburton Energy Services, Inc.. Active years: 2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Adly Helba. Retrieved from https://idiyas.com/inventor/adly-helba

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

Calculating rank

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Adly Helba: Innovator in Petrographic Image Analysis

Introduction

Adly Helba is a notable inventor based in New Cairo, Egypt. He has made significant contributions to the field of petrographic image analysis, particularly through his innovative patent. His work focuses on automating the analysis of microfacies, which is crucial for understanding subterranean formations.

Latest Patents

Adly Helba holds a patent titled "Automating microfacies analysis of petrographic images." This patent discloses methods and systems that determine a microfacies or a microfacies characteristic of a sample of a subterranean formation. The process is based on a segmented image of a petrographic image of the sample, which is derived using a machine-learning algorithm. This innovative approach enhances the efficiency and accuracy of microfacies analysis.

Career Highlights

Adly Helba is currently employed at Halliburton Energy Services, Inc., a leading company in the energy sector. His role involves applying his expertise in petrographic image analysis to improve the company's services and technologies. With a focus on innovation, he continues to contribute to advancements in the field.

Collaborations

Adly has collaborated with notable coworkers, including Songhua Chen and Wei Shao. These collaborations have fostered a productive environment for innovation and research within the company.

Conclusion

Adly Helba's work in automating microfacies analysis represents a significant advancement in the field of petrographic image analysis. His contributions not only enhance the understanding of subterranean formations but also demonstrate the potential of machine learning in geological studies.

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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