Ge Jin

Ge Jin is an associate professor of geophysics and co-director of the reservoir characterization project at Colorado School of Mines. His research interests focus on applications of distributed fiber-optic sensing (DFOS) in geoscience and engineering, as well as seismic imaging and machine learning techniques. He has initiated and developed several important DFOS applications, including cross-well strain monitoring, microseismic imaging, production logging, and reservoir characterization.

Jin has an extensive publication record with more than 70 peer-reviewed journal articles, has edited one book, and authored 12 granted patents. His work is well recognized by many professional societies. He received the ARMA Case Study Award in 2025, delivered the AAPG/SEG Distinguished Lecture in 2024, received the Best Paper award at the UrTeC conference in 2023 and 2024, and has received honorable mentions for best papers in The Leading Edge and Geophysics. Before joining Colorado School of Mines, Jin worked for 5 years as a research geophysicist at ConocoPhillips. Jin earned his PhD in geophysics from Columbia University and holds dual BS degrees in geophysics and computer science from Peking University.