معرفی
Jingyi Chen is the L. Decker Dawson Endowed Professor in Geosciences at the University of Tulsa, affiliated with the College of Engineering & Natural Sciences and the Petroleum Engineering department. He directs the Seismic Anisotropy Group, focusing on advanced geophysical research and applications.
- Education:
- Ph.D., Solid Geophysics, Institute of Geology and Geophysics, Chinese Academy of Sciences (2005)
- M.S., Jilin University
- B.S., Changchun University of Science and Technology
Chen's research spans seismic wave propagation, imaging and inversion, reservoir characterization, and machine learning applications in geophysics. His work includes numerical modeling of seismic waves in complex media, anisotropic parameter estimation, and integration of deep learning techniques for improved subsurface imaging.
Recent publications highlight advancements in surface-wave inversion, topography-dependent tomography, brittleness parameter estimation, and GPU-accelerated seismic simulations. These studies emphasize machine learning, wave propagation in anisotropic/porous media, and innovative boundary condition implementations for numerical modeling.
As an associate editor for Journal of Geophysics and Engineering, Journal of Seismic Exploration, and Geophysical Prospecting for Petroleum, he contributes to peer-reviewed scientific discourse. His technical expertise also includes resistivity logging through casing and multi-component seismic data analysis.
Chen's laboratory, the Seismic Anisotropy Group, develops computational methods for seismic imaging, focusing on anisotropic media and fracture characterization. His work bridges theoretical geophysics with practical energy exploration applications.
