Cambridge, MA, United States of America

Ting Lei

USPTO Granted Patents = 16 

 

Average Co-Inventor Count = 2.7

ph-index = 3

Forward Citations = 23(Granted Patents)


Location History:

  • Cambridge, MA (US) (2014 - 2020)
  • Arlington, MA (US) (2019 - 2024)

Company Filing History:


Years Active: 2014-2024

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16 patents (USPTO):Explore Patents

Title: The Innovator Behind Machine Learning in Borehole Data Interpretation: Ting Lei

Introduction

Ting Lei is an accomplished inventor based in Cambridge, MA, known for his significant contributions in the field of machine learning and geophysical data interpretation. With a total of 16 patents to his name, he has made remarkable advancements that enhance our understanding and analysis of borehole sonic data, which is crucial for industries like oil and gas exploration.

Latest Patents

Ting Lei's innovative edge is exemplified in his latest patents, which include:

1. **Machine learning enhanced borehole sonic data interpretation** - This patent details a method where borehole sonic data is received and machine learning algorithms are employed to interpret that data effectively. This technique is intended to optimize data analysis and improve decision-making processes in various applications.

2. **System and method for generating slowness logs in thinly laminated formations** - This innovation involves a method, computer program product, and computing system that generate high-resolution slowness logs. It incorporates data from multiple sonic logs collected by sensor arrays and specifically utilizes monopole and dipole data for its calculations.

Career Highlights

Currently, Ting Lei is associated with Schlumberger Technology Corporation, a prominent global provider of technology and services for the oil and gas industry. His work focuses on integrating advanced computing techniques in traditional geophysical data interpretations, paving the way for more precise assessments.

Collaborations

Throughout his career, Ting has collaborated with talented professionals in his field, including Bikash Kumar Sinha and Smaine Zeroug, who bring their unique perspectives and expertise to their joint efforts. These collaborations are essential for fostering innovation and advancing their shared goals in technology and data interpretation.

Conclusion

Ting Lei's work exemplifies the intersection of technology and engineering, showcasing how machine learning can revolutionize the interpretation of complex geophysical data. His patented innovations are not only a testament to his ingenuity but also play a significant role in modernizing the oil and gas industry's analytical capabilities. As he continues to push the boundaries of technology at Schlumberger Technology Corporation, the impact of his inventions will undoubtedly resonate throughout the industry for years to come.

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