Lijun Mi

Title: Lijun Mi: Innovator in Seismic Super-Resolution Inversion Methods

Introduction

Lijun Mi is a prominent inventor based in Xi'an, China. He has made significant contributions to the field of seismic data processing through his innovative approaches. His work focuses on integrating model-driven optimization with deep learning techniques to enhance seismic inversion methods.

Latest Patents

Lijun Mi holds a patent for a "Model-driven deep learning-based seismic super-resolution inversion method." This method involves several key steps: first, mapping each iteration of a model-driven alternating direction method of multipliers (ADMM) into each layer of a deep network. Second, it learns proximal operators using a data-driven method to construct the deep network ADMM-SRINet. Third, it obtains label data to train the deep network. Finally, it inverts test data using the trained deep network. This innovative method combines the strengths of model-driven optimization and data-driven deep learning, resulting in a more reliable inversion outcome.

Career Highlights

Lijun Mi is affiliated with Xi'an Jiaotong University, where he continues to advance research in seismic data processing. His work has garnered attention for its practical applications in geophysical exploration and resource management.

Collaborations

Lijun Mi collaborates with notable colleagues, including Qingzhen Wang and Jinghuai Gao, who contribute to his research endeavors. Their combined expertise enhances the quality and impact of their work in the field.

Conclusion

Lijun Mi's innovative contributions to seismic super-resolution inversion methods exemplify the intersection of deep learning and model-driven optimization. His work not only advances academic research but also has practical implications in the geophysical industry.