Missouri City, TX, United States of America

Cen Li

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 29(Granted Patents)


Location History:

  • Missouri City, TX (US) (2009)
  • Houston, TX (US) (2001 - 2024)

Company Filing History:


Years Active: 2001-2025

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5 patents (USPTO):Explore Patents

Title: Innovations by Inventor Cen Li

Introduction

Cen Li is an accomplished inventor based in Missouri City, TX (US). He has made significant contributions to the field of seismic interpretation and machine learning. With a total of 5 patents, Cen Li continues to push the boundaries of technology in his area of expertise.

Latest Patents

Cen Li's latest patents include innovative methods that enhance seismic data analysis. One of his notable inventions is the "Cascaded machine-learning workflow for salt seismic interpretation." This method involves determining a top of salt (TOS) surface in a seismic volume based on the crossline and inline directions of the seismic data. It also includes generating a binary mask based on the TOS surface and sampling seismic data to create a training seismic slice. Another significant patent is "Quantifying diversity in seismic datasets," which focuses on converting seismic slices into an embedding that includes multiple vectors with more than three dimensions. This method allows for the generation of plots based on the embedding, facilitating better analysis of seismic surveys.

Career Highlights

Cen Li is currently employed at Schlumberger Technology Corporation, a leading company in the oil and gas industry. His work at Schlumberger has allowed him to apply his innovative ideas to real-world challenges in seismic interpretation and data analysis.

Collaborations

Cen Li collaborates with talented individuals such as Haibin Di and Aria Abubakar, who contribute to his projects and enhance the overall research environment.

Conclusion

Cen Li's contributions to seismic interpretation and machine learning demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving data analysis methods in the industry.

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