Houston, TX, United States of America

Grant Lee


 

Average Co-Inventor Count = 5.3

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2018-2023

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2 patents (USPTO):Explore Patents

Title: Innovations of Grant Lee

Introduction

Grant Lee is an accomplished inventor based in Houston, TX. He has made significant contributions to the field of technology, particularly in the areas of machine learning and milling operations. With a total of 2 patents, his work showcases a blend of creativity and technical expertise.

Latest Patents

One of Grant Lee's latest patents is focused on converting unstructured technical reports to structured technical reports using machine learning. This innovative method involves obtaining an unstructured technical report, tokenizing it into an n-gram array, and filtering out non-interesting n-grams based on common language usage. The process generates a technical entity candidate list and iteratively refines a pattern matching model to enhance accuracy.

Another notable patent is a method and system for an automatic milling operation. This invention includes a milling module with a motor that rotates a milling bit, along with a tractor module that engages with the wellbore. The system adjusts the operation based on calculated torque and push force values, ensuring efficient milling in challenging environments.

Career Highlights

Throughout his career, Grant Lee has worked with prominent companies such as Schlumberger Technology Corporation and Chevron U.S.A. Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Grant has collaborated with talented individuals, including Michael Thomas Jensen and Neil Herbst. These partnerships have fostered a creative environment that encourages the exchange of ideas and expertise.

Conclusion

Grant Lee's contributions to technology through his patents and collaborations highlight his innovative spirit and dedication to advancing the field. His work continues to inspire future developments in machine learning and milling operations.

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