Distributed acoustic sensing
Distributed acoustic sensing (DAS) methods for observing vibration and seismic response at high spatial density.
GEOPHYSICIST · RESEARCHER · BUILDER
Pengchao
He.
Postdoctoral Fellow in Geophysics at Colorado School of Mines
I use distributed acoustic sensing, seismic data, and scientific computing to understand complex physical systems—and turn research into practical monitoring technologies.
Sensing · interpretation · application∞ channels
one physical story
one physical story
01 / RESEARCH FOCUS
Research focus
A connected research program spanning the subsurface, built environment, and scientific software.
Energy systems
Hydraulic-fracture characterization, reservoir monitoring, and enhanced geothermal systems.
Infrastructure & geological hazards
Distributed acoustic sensing and seismic-array approaches for infrastructure health, transportation systems, and geological-hazard monitoring.
Earth processes
Earthquake triggering, deformation modeling, lithospheric rheology, and geophysical archaeology.
02 / SELECTED WORK
Selected work
Publicly documented projects and research directions. Early-stage tools are labeled accordingly.
01
RESEARCH
↗Infrastructure health & geological-hazard monitoring with DAS
Using distributed acoustic sensing to investigate structural response and geological-hazard monitoring strategies.
Infrastructure and hazard-monitoring research02
RESEARCH
↗Hydraulic-fracture characterization
Interpreting distributed acoustic sensing observations to better understand fracture behavior and subsurface geomechanics.
Active research direction03
PROTOTYPE
↗AI agents for scientific workflows
Exploring agent-based tools for research automation, data analysis, and geophysical knowledge workflows.
Early-stage work · details under review03 / SELECTED PUBLICATIONS
Selected publications
Peer-reviewed work across earthquake physics, deformation modeling, and distributed acoustic sensing applications.
Advances in the spatiotemporal characteristics and mechanisms of earthquake static and dynamic triggering
Reviews of Geophysics and Planetary Physics
A brief overview of using seismic S-waves to determine deep and shallow crustal stress
Seismological and Geomagnetic Observation and Research
Rheological structure of lithosphere in northern Tibet inferred from postseismic deformation modeling of the 2001 Mw 7.8 Kokoxili earthquake
Chinese Journal of Geophysics
Rupture triggering process of Wenchuan earthquake seismogenic faults
Chinese Journal of Geophysics
04 / ABOUT
About
Pengchao He is a postdoctoral fellow in the Department of Geophysics at Colorado School of Mines and a member of the Reservoir Characterization Project. His work connects distributed acoustic sensing, seismology, geomechanics, and data analysis across energy, infrastructure, and environmental applications.
The thread through my work is simple: extract reliable physical insight from dense measurements, then shape that insight into methods people can use.
Education
01
PhD in Geophysics · Peking University
02
Joint program · ISTerre, Grenoble, France
03
BS in Geophysics · Peking University
05 / CV
CV snapshot
Current role, education, research themes, and selected publications are summarized here. A verified downloadable CV will be added after the July 2026 source file is confirmed.
06 / CONTACT
Let’s connect signals, science, and real-world problems.
I welcome conversations about distributed acoustic sensing, geothermal and reservoir monitoring, infrastructure applications, and scientific software.