Edmonton, Canada

Ming-Zhao Jin

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Championx USA Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming-Zhao Jin. Retrieved from https://idiyas.com/inventor/ming-zhao-jin

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 = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Ming-Zhao Jin and Data-Driven Oil Field Chemical Testing.

Introduction

Ming-Zhao Jin is an inventor associated with Edmonton, Canada, and ChampionX USA Inc. His work includes a patent describing the use of data analysis and machine learning to support the development and testing of oil field specialty chemicals.

Latest Patents

Jin is associated with 1 patent: “Devices and Methods for Oil Field Specialty Chemical Development and Testing.” The invention describes receiving test parameters for a chemical formulation and searching historical test results to identify candidate formulations. It then uses unsupervised machine learning to cluster candidates and select representative formulations. A predictor trained on test results can estimate the performance of virtual formulations, helping guide further testing and development.

Career Highlights

The patent reflects an approach that combines historical testing data, formulation selection, and predictive modeling. These methods are intended to make specialty chemical development and evaluation more systematic.

Collaborations

The supplied information identifies Dingzheng Yang and Peiqi Qiao as Jin’s coworkers. Their specific roles in the patent or related work are not provided.

Conclusion

Ming-Zhao Jin’s patent connects machine learning with oil field chemical testing, illustrating how data-driven methods can support formulation development and performance prediction.

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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