Yan-Qiang Liu

Title: Innovations of Yan-Qiang Liu in Seismic Noise Attenuation

Introduction

Yan-Qiang Liu is a notable inventor based in Surbiton, GB. He has made significant contributions to the field of geophysical marine survey data through his innovative techniques aimed at reducing noise. His work is particularly relevant in enhancing the quality of seismic data, which is crucial for various applications in geophysics.

Latest Patents

Yan-Qiang Liu holds a patent titled "Seismic noise attenuation using adaptive subtraction with improved noise estimation." This patent focuses on techniques that reduce noise in geophysical marine survey data. The methods disclosed involve adapting an initial set of noise templates to recorded seismic data to generate adapted noise templates. The process includes estimating a noise component in the recorded seismic data by determining the correlation between noise and signal components. The recorded seismic data is then masked proportionally to this degree of correlation. The adapted noise templates are further refined based on the difference between the estimated noise component and the noise templates themselves. Ultimately, the resultant noise templates are applied to denoise the recorded seismic data.

Career Highlights

Yan-Qiang Liu is currently employed at PGS Geophysical AS, where he continues to develop and refine his innovative techniques. His work has been instrumental in advancing the methodologies used in seismic data analysis, contributing to more accurate and reliable geophysical surveys.

Collaborations

Throughout his career, Yan-Qiang Liu has collaborated with esteemed colleagues such as Paul Lecocq and Luca Marsiglio. These collaborations have fostered a productive environment for innovation and have led to significant advancements in their field.

Conclusion

In summary, Yan-Qiang Liu's contributions to seismic noise attenuation represent a significant advancement in geophysical data analysis. His innovative techniques not only enhance the quality of seismic data but also pave the way for future developments in the field.