Lu Gan

Title: Lu Gan - Innovator in Airborne Electromagnetics

Introduction

Lu Gan is a prominent inventor based in Huzhou, China. He has made significant contributions to the field of airborne transient electromagnetics through his innovative approaches. His work focuses on enhancing the efficiency and effectiveness of three-dimensional inversion methods using deep learning techniques.

Latest Patents

Lu Gan holds a patent for a "Three-dimensional inversion method of airborne transient electromagnetics based on deep learning." This patent introduces a novel approach that proposes two strategies aimed at improving the performance of deep learning models. These strategies include a divide and conquer method and the generation of random models. By utilizing a variety of reasonable structural models and appropriate network setups, his proposed U-Net framework has shown effectiveness on both synthetic and field data. This method enables rapid prospecting of three-dimensional resistivity structures in large-area target regions, addressing the inefficiencies of traditional three-dimensional inversion calculations.

Career Highlights

Lu Gan is affiliated with the University of Electronic Science and Technology of China, where he continues to advance research in his field. His innovative work has garnered attention for its potential applications in geophysical exploration and resource management.

Collaborations

Lu Gan collaborates with Rongjiang Tang, a talented woman in the field, contributing to the advancement of their shared research interests.

Conclusion

Lu Gan's contributions to airborne transient electromagnetics through his patented methods highlight the intersection of deep learning and geophysical exploration. His work not only enhances traditional methods but also paves the way for future innovations in the field.