Jian is a Ph.D. candidate at the University of Science and Technology of China, specializing in Geophysics. His research focuses on induced seismicity related to hydraulic fracturing in the Changning shale gas field, China. His research interests include source attributes of induced earthquakes, ambient noise tomography for reservoir characterization, and in-situ Vp/Vs estimation. Currently, he is a visiting Ph.D. student at McGill University, where he is expanding his technical expertise.
Ph.D.
University of Science and Technology of China
Visiting Ph.D. student
McGill University
M.S.
University of Science and Technology of China
BSc
University of Science and Technology of China
My research focuses on induced seismicity associated with hydraulic fracturing in the Changning shale gas field. I have successfully constructed a high-resolution shear wave velocity model using ambient noise tomography based on a dense array and developed a precise seismicity catalog for the study region. Leveraging these observations, I have analyzed the key factors controlling the maximum magnitudes of induced earthquakes, characterized two distinct seismogenic patterns, and assessed seismic hazards by integrating seismic observations with geomechanical modeling (COMSOL). Currently, I am working on in-situ Vp/Vs estimations to gain a deeper understanding of the activation processes of seismogenic faults that host induced earthquakes.
In addition to my research on hydraulic fracturing-induced seismicity, I plan to expand my studies to other forms of induced seismicity caused by enhanced geothermal systems (EGS), wastewater disposal (WD), and CO₂ storage in my future career. My overarching research goal is to contribute to the mitigation of seismic hazards and risks associated with anthropogenic activities by elucidating the triggering mechanisms and source processes of induced earthquakes, particularly moderate to strong events.
My technical skills include: (1) developing high-precision seismicity catalogs, from event detection to accurate (re)location; (2) characterizing georeservoir structures using ambient noise tomography; (3) conducting geomechanical modeling to simulate pore pressure diffusion and poroelastic stress perturbations induced by fluid injection; and (4) estimating in-situ Vp/Vs ratios using high waveform similarity techniques.