CA

Yong Hua

This inventor holds 1 USPTO granted patent. Top assignee: Chevron U.s.a. Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yong Hua. Retrieved from https://idiyas.com/inventor/yong-hua

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


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Yong Hua - Innovator in Machine Learning Seismic Inversion

Introduction

Yong Hua is a notable inventor based in California, recognized for his contributions to the field of machine learning and seismic inversion. His innovative approach to utilizing well data has the potential to significantly enhance the accuracy of seismic models.

Latest Patents

Yong Hua holds a patent titled "Training data for machine learning seismic inversion." This patent focuses on the division of well data into multiple segments, allowing for different samplings to increase the data used in training seismic inversion models. Additionally, synthetic well data can be generated from real well data to further enhance the sampling process.

Career Highlights

Yong Hua is currently employed at Chevron U.S.A. Inc., where he applies his expertise in machine learning to improve seismic data analysis. His work is instrumental in advancing the methodologies used in the oil and gas industry.

Collaborations

Yong collaborates with talented colleagues such as Reynaldo Cardona and Yang Zhang, contributing to a dynamic team focused on innovative solutions in seismic data processing.

Conclusion

Yong Hua's work in machine learning and seismic inversion exemplifies the intersection of technology and geology, showcasing how innovative approaches can lead to significant advancements in the 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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