Company Filing History:
Years Active: 2025
Title: Yizhen Li: Innovator in Seismic Quantitative Prediction Methods
Introduction
Yizhen Li is a prominent inventor based in Chengdu, China. She has made significant contributions to the field of seismic quantitative prediction, particularly in the analysis of total organic carbon (TOC) in shale formations. Her innovative approach combines advanced neural network techniques with seismic data analysis.
Latest Patents
Yizhen Li holds a patent for a seismic quantitative prediction method for shale TOC based on sensitive parameter volumes. This method involves determining a target stratum for TOC measurement, analyzing logging curves that correlate with TOC contents, and identifying sensitive parameters. The process includes constructing sample data, training a radial basis function (RBF) neural network, and using seismic data to predict TOC content effectively.
Career Highlights
Yizhen Li is affiliated with Chengdu University of Technology, where she continues to advance her research in seismic prediction methods. Her work has garnered attention for its innovative use of neural networks in geological assessments.
Collaborations
Yizhen has collaborated with notable colleagues, including Chaorong Wu and Cheng Liu, who have contributed to her research endeavors.
Conclusion
Yizhen Li's contributions to seismic quantitative prediction methods highlight her innovative spirit and dedication to advancing geological research. Her work not only enhances our understanding of shale formations but also paves the way for future innovations in the field.