School of Earth and Environment

Peidong Shi Peidong Shi

Postgraduate Researcher

Email address:
Room: 8.153

Affiliation: Institute of Applied Geoscience


I am currently a PhD candidata in the School of Earth and Environment, University of Leeds. My research focuses on utilizing geophysical techniques to decipher the secrets of the Earth and probe the nature of earthquakes.

My personal website:


2012.09 - 2015.06 M.Sc., Applied Geophysics, China University of Petroleum, Beijing, China
2008.09 - 2012.06 B.Sc., Geophysical prospecting, China University of Petroleum, Beijing, China


Member of Society of Exploration Geophysics (SEG)
Member of European Association of Geoscientists and Engineers (EAGE)

Research Interests

Passive seismic monitoring: Using continuous seismic waveform data to automatically locate induced or triggered seismicity and invert for source mechanisms. The inverted seismic event locations and source mechanisms can provide valuable information for the monitoring of hydraulic fracturing (HF), carbon capture and storage (CCS), radioactive waste disposal, mining activities.

Seismic modeling: Simulating wave propagation in heterogeneous and anisotropic media using arbitrary moment tensor source. Analyzing the complex seismic full wavefield to study wave scattering and interferometry in the complex media, and thus provide the fundamental study for geophysical inversions such as tomography and full waveform inversion.

Seismic anisotropy analysis: Utilizing seismic reflection anisotropy and shear-wave splitting to probe subsurface fracture distribution and orientation, and obtain detailed information of subsurface structures and characterize favorable reservoirs for hydrocarbons and geological disposals.

Seismic imaging: Using seismic tomography and full waveform inversion (FWI) to better image the subsurface structure in different scales (from local, regional to global scales).

Teaching Interests

Global Seismology, Applied Geophysics

Support duties

I have worked as Leeds University Exam Invigilator.

Project details

Project title

Microseismic full waveform modeling and location


Dr Andy Nowacki, Dr Doug Angus and Dr Sebastian Rost

Start date

1st October 2015

Project outline

Seismic anisotropy which is common in shale and fractured rocks will cause travel-time and amplitude discrepancy in different propagation directions. For microseismic monitoring which is often implemented in shale or fractured rocks, seismic anisotropy needs to be carefully accounted for in source location and mechanism determination. We have developed an efficient finite-difference full waveform modeling tool with an arbitrary moment tensor source. The modeling tool is suitable for simulating wave propagation in anisotropic media for microseismic monitoring. In our research, wavefields in anisotropic media have been carefully simulated and analyzed in both surface array and downhole array. The variation characteristics of travel-time and amplitude of direct P- and S-wave in vertical transverse isotropic media and horizontal transverse isotropic media are distinct, thus providing a feasible way to distinguish and identify the anisotropic type of the subsurface.

With the proliferation of dense seismic networks sampling the full seismic wavefield, recorded seismic data volumes are getting bigger and automated analysis tools to locate seismic events are essential. I propose a novel Multichannel Coherency Migration (MCM) method to locate earthquakes in continuous seismic data and reveal the location and origin time of seismic events directly from recorded waveforms. By continuously calculating the coherency between waveforms from different receiver pairs, MCM greatly expands the available information which can be used for event location. MCM does not require phase picking or phase identification, which allows fully automated waveform analysis.


  1. Shi, P., Angus, D., Nowacki, A., Yuan, S. & Wang, Y. (2018). Microseismic full waveform modeling in anisotropic media with moment tensor implementation. Surveys in Geophysics, 39(4), 567-611. doi: 10.1007/s10712-018-9466-2
  2. Shi, P., Angus, D., Rost, S., Nowacki, A., & Yuan, S. (2018). Automated seismic waveform location using Multichannel Coherency Migration (MCM)--I. Method. Geophysical Journal International, ggy132,