Binhai New Area, China

Dong Li

This inventor holds 1 USPTO granted patent. Top assignee: China Oilfield Services, Limited. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dong Li. Retrieved from https://idiyas.com/inventor/dong-li-m72vdkg4

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Dong Li: Inventor in Logging Image Definition Recognition

Introduction

Dong Li is an inventor based in Binhai New Area, China. His listed patent concerns methods and systems for assessing the definition of logging images. He is associated with China Oilfield Services, Limited.

Latest Patents

Dong Li is listed with 1 patent: “Logging Image Definition Recognition Method and Device, Medium, and Electronic Equipment.” The disclosure describes creating a sample library of logging images and obtaining actual definition information and multiple definition measurements for each image. It then uses those measurements and actual information to determine weights for image-definition algorithms, which are applied to assess a target logging image.

Career Highlights

The available information connects Li’s inventive work with image-definition recognition in the logging field. His patent describes an approach that combines multiple algorithmic assessments with weighted results.

Collaborations

Li is associated with China Oilfield Services, Limited. The provided information does not specify collaborators or further details about his role at the company.

Conclusion

Dong Li’s listed invention applies weighted image-recognition algorithms to evaluating logging-image definition, reflecting a focused contribution to technology for the oilfield sector.

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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