This inventor holds 2 USPTO granted patents and 7 published patent applications and 1 EPO patent. Top assignee: Siemens Aktiengesellschaft. Active years: 2024.
Location History:
- Nanjing, CN (2024)
- Beijing, CN (2024)
Company Filing History:

Years Active: 2024
Title: Yi Yao - Innovating Real-Time Microseismic Event Identification
Introduction
Yi Yao, a notable inventor based in Beijing, China, has made significant strides in the field of geophysical monitoring. With his innovative approach to microseismic event identification, Yao has introduced a unique method that utilizes deep learning techniques for real-time data analysis.
Latest Patents
Yi Yao holds a patent for a groundbreaking invention titled "DAS Same-Well Monitoring Real-Time Microseismic Effective Event Identification Method Based on Deep Learning." This patent outlines a sophisticated method that includes various components such as constructing a DAS-based horizontal well microseismic monitoring system, creating a comprehensive training data set consisting of various labeled data types, and employing a signal identification module. The effectiveness of this identification method lies in its ability to process real monitoring data efficiently, allowing for the rapid identification of microseismic events.
Career Highlights
Throughout his career, Yi Yao has focused on integrating advanced technologies with geophysical monitoring systems. His innovative methodologies not only streamline monitoring processes but also enhance the accuracy of event identification. This has established him as a key figure in the ongoing advancement of microseismic analysis.
Collaborations
Yi Yao collaborates closely with colleagues Yikang Zheng and Yibo Wang, who contribute their expertise to the development and refinement of the DAS-based monitoring system. Together, they push the boundaries of current methodologies, emphasizing a solid team dynamic that fosters innovation in their field.
Conclusion
Yi Yao's advancements in the real-time identification of microseismic events underscore the importance of innovation in modern geophysical research. His patent demonstrates the potential of deep learning technologies to transform traditional methods, promising greater efficiency and effectiveness in monitoring practices. As industries continue to evolve, inventors like Yi Yao play a crucial role in shaping the future of technology-driven solutions.