Company Filing History:
1 out of 494 
1 out of 2 Years Active: 2015-2025
Title: Qingqing Liao: Innovator in Seismic Data Processing
Introduction
Qingqing Liao is a prominent inventor based in Katy, TX (US), known for her contributions to the field of seismic data processing. With a focus on utilizing advanced methodologies, she has developed innovative solutions that enhance the accuracy and efficiency of seismic data interpretation. Her work has led to the granting of 2 patents that showcase her expertise and creativity in this specialized area.
Latest Patents
One of Qingqing Liao's latest patents is titled "Method and apparatus for performing de-aliasing using deep learning." This invention involves a method that receives modelled seismic data, which is then processed by classification and segmentation processors. The method generates an output based on the received data and compares it with a desired output, allowing for modifications to ensure accuracy.
Another significant patent is "Wavelet-based seismic data compression." This invention outlines a method for transforming a seismic trace into a compressed domain. It involves the transformation of the seismic source wavelet into a zero-degree phase wavelet and a shifted 90-degree phase wavelet, creating a dictionary that aids in finding the best matching projection for data compression.
Career Highlights
Qingqing Liao has worked with notable companies such as BP Corporation North America Inc. and Total E&P Research & Technology USA, Inc. Her experience in these organizations has allowed her to apply her innovative ideas in practical settings, contributing to advancements in seismic data processing.
Collaborations
Throughout her career, Qingqing has collaborated with esteemed colleagues, including Madhav Vyas and Fuchun Gao. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Qingqing Liao's contributions to seismic data processing through her innovative patents and collaborative efforts highlight her significant role in advancing this field. Her work continues to influence the industry, paving the way for future innovations.