Katy, TX, United States of America

Dongjie Cheng


Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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2 patents (USPTO):Explore Patents

Title: Innovations by Dongjie Cheng

Introduction

Dongjie Cheng is a notable inventor based in Katy, TX (US). He has made significant contributions to the field of seismic data acquisition and processing. With a total of 2 patents, his work focuses on enhancing the accuracy and reliability of seismic data through innovative techniques.

Latest Patents

One of his latest patents is titled "Reducing resonant noise in seismic data acquired using a distributed acoustic sensing system." In this invention, a distributed acoustic sensor is strategically positioned within a wellbore of a geologic formation. The sensor detects seismic waves, generating a raw seismic profile based on the detected waves. The invention identifies and reduces resonant noise in the seismic data associated with this profile. Another significant patent is "Coherent noise attenuation using statistical methods." This system is designed to attenuate coherent noise from seismic data. It comprises one or more sensors that sense waves generated by a seismic source. The coherent noise attenuation module, which includes a processor and memory, receives multiple traces of seismic data and applies transformations to identify and attenuate outlier waveforms.

Career Highlights

Dongjie Cheng is currently employed at Halliburton Energy Services, Inc., where he continues to develop innovative solutions for seismic data processing. His expertise in this area has positioned him as a valuable asset to his company and the industry.

Collaborations

Some of his coworkers include Laura Torres Laza and Xiaomin Zhao, who contribute to the collaborative environment that fosters innovation at Halliburton.

Conclusion

Dongjie Cheng's contributions to seismic data processing through his patents demonstrate his commitment to innovation in the field. His work not only enhances the quality of seismic data but also showcases the importance of collaboration in driving technological advancements.

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