Shenyao Jin

RCP @ Colorado School of Mines

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I work on distributed fiber-optic sensing (DAS/DSS) at the Reservoir Characterization Project, Colorado School of Mines. My research uses fiber-optic strain and acoustic measurements to monitor hydraulic fractures, evaluate well integrity, and image reservoir properties — most recently, inverting DSS strain data for permeability with adjoint-based optimization on top of MOOSE poro-mechanical models.

I build my analysis workflows into fibeRIS, a Python toolkit for fiber-optic sensing data. This site hosts my research logs and publications.

My CV

My CV is updated automatically whenever I push a new commit to my CV repositorydownload the PDF, or browse it below.

latest posts

selected publications

  1. IMAGE
    Conductive Fracture Monitoring Using Distributed Strain Sensing: From Stimulation to Production
    Shenyao Jin and Ge Jin
    In Fourth International Meeting for Applied Geoscience & Energy (IMAGE), 2024
  2. IMAGE
    Utilizing Low-Frequency DAS to Evaluate Cement Quality for Horizontal Wells
    Shenyao Jin and Ge Jin
    In Fifth International Meeting for Applied Geoscience & Energy (IMAGE), 2025