EGU26-15304, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15304
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Friday, 08 May, 08:30–10:15 (CEST), Display time Friday, 08 May, 08:30–12:30
 
Hall X1, X1.141
Attenuation Tomography of the Baihetan Reservoir: Separating Fluids from Fractures in Induced Seismicity
Yansong Hu1,2, Luca De Siena1, Ruifeng Liu2, Xinjuan He3, and Lisheng Xu2
Yansong Hu et al.
  • 1Alma Mater Studiorum università di Bologna, Bologna, Italy(huyansong325@163.com)
  • 2Institute of Geophysics, China Earthquake Administration, BEIJING, China
  • 3Institute of Seismology, China Earthquake Administration, WUHAN, China

Impoundment of the Baihetan Reservoir has triggered intense micro-seismicity, raising questions about the underlying hydro-mechanical drivers. While stress drop variations suggest fluid lubrication reduces effective normal stress, distinguishing fluid-saturated conduits from dry fracture networks remains challenging with traditional tomography. Standard attenuation imaging (Qt-1) inherently conflates scattering (structural heterogeneity) and intrinsic absorption (anelastic loss), obscuring the true physical state of the subsurface.

To resolve this, we apply Multi-Resolution Attenuation Tomography (MuRAT) to a dense local seismic array dataset. By utilizing Radiative Transfer Theory, we independently invert for scattering (Qsc) and absorption (Qi) attenuation coefficients. Our results reveal a distinct spatial decoupling of these mechanisms. Scattering anomalies (low-Qsc) correlate strongly with the surface traces of the Zemuhe and Xiaojiang fault zones, effectively imaging the pre-existing fracture network. In contrast, intrinsic absorption anomalies (low-Qi) are concentrated at depths of 5–10 km. These high-absorption features are spatially consistent with theoretical zones of fluid infiltration. By separating structural damage from fluid presence, we provide independent geophysical constraints that support fluid-diffusion hypotheses derived from source parameter analysis.

 

How to cite: Hu, Y., De Siena, L., Liu, R., He, X., and Xu, L.: Attenuation Tomography of the Baihetan Reservoir: Separating Fluids from Fractures in Induced Seismicity, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15304, https://doi.org/10.5194/egusphere-egu26-15304, 2026.