March 10 Technical Luncheon - Guest Speaker Dr. Ge Jin (Colorado School of Mines). "Unconventional Reservoir Characterization using Distributed Acoustic Sensing"

  • March 10, 2022
  • 11:30 AM - 1:00 PM
  • Baxter's InterUrban Grill and online (zoom) option


  • Zoom link to be provided
  • In-person attendance at Baxter's available for TGS members at GST member price.

Registration is closed

March 10  -  Baxter's Interurban Grill (in-person gathering) and online zoom. 

Our speaker, Dr. Ge Jin, will present online.  Jin is an Assistant Professor at Colorado School of Mines, Co-Director of the Reservoir Characterization Project at CSM and an industry expert on fiber optic applications in seismology.

Registration opens at 11:30am, Program commences at Noon

The GST is inviting you to an online presentation.

Meeting ID: 853 4126 0080
Passcode: 300678


Unconventional Reservoir Characterization using Distributed Acoustic Sensing

Abstract:   Distributed Acoustic Sensing (DAS) is an emerging technology that provides geophysicists with a great tool to image the subsurface and monitor reservoirs. Due to the high spatial resolution and broad frequency spectrum of DAS measurements, many new applications have been explored and developed to characterize unconventional reservoirs and monitor hydraulic fractures. This presentation showcases several such developments at Reservoir Characterization Project ( We will first discuss using time-lapse VSP to constrain fracture height, and then expand the topic to microseismic-based reservoir imaging, including reservoir guided-wave analysis and fracture reflection imaging. We will also showcase the correlation between perforation shot triggered tube waves and near-wellbore fracture connectivity. The presentation will conclude by discussing low-frequency DAS strain monitoring and its applications on constraining hydraulic fracture propagation.

Bio:   Dr. Ge Jin is Assistant Professor of Geophysics and co-director of Reservoir Characterization Project ( at Colorado School of Mines. His research mainly focuses on Distributed Fiber-Optic Sensing (DFOS) applications in Geophysics. He has been working on DFOS-related research projects since 2014 and has authored dozens of publications and patents in this field. He is also interested in machine-learning applications and seismic imaging. He currently leads a research group focusing on hydraulic fracturing monitoring and reservoir characterization using DFOS measurements. Dr. Jin obtained his Ph.D. in Geophysics from Columbia University in the City of New York, and dual B.S. in Geophysics and Computer Science from Peking University. He worked as a research geophysicist in the oil industry for five years before joining the university in 2019.


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