Advanced Geological Forecasting in the Main Plant of Hydropower Stations

Authors

  • Pengfei Qu
  • Hui Cheng
  • Shengjie Di
  • Zonggang Chen
  • Zheng Li

DOI:

https://doi.org/10.54097/e6hvpc96

Keywords:

Underground Tunnels, Comprehensive Advanced Geological Forecasting, Seismic Wave Forward Modeling Technology

Abstract

Based on the TGS360Pro advanced geological forecasting method, a three-dimensional geological forecasting system was developed for a hydropower station tunnel with a long route, significant burial depth, high groundwater level, and multiple large fault crossings, highlighting major engineering geological issues. Research shows that by applying the solid-liquid dual-phase medium theory, combined with on-site working conditions and geological information revealed at the face, and conducting a comprehensive analysis of corresponding stress, water content probability, longitudinal wave velocity, transverse wave velocity, the ratio of longitudinal to transverse wave velocities, Poisson's ratio, Young's modulus, and surrounding rock hazard levels, predictive forecasting results can be obtained. The differences in data and wave field characteristics were analyzed, and successful application was achieved at a certain hydropower station. This method effectively addresses the challenges of advanced geological forecasting in hydropower station tunnels, with excavation verification yielding good results.

Downloads

Download data is not yet available.

References

[1] Zhao yong gui. Review and recommendation of tunnel advanced prediction technology at home and abroad [J] Progress in Geophysics, 2007,22 (04): 1344-1352.

[2] Li shu cai, Liu bin Sun huai feng, et al. Research status and development trend of advanced geological prediction for tunnel construction[J] Journal of Rock Mechanics and Engineering,2014,33 (6) : 1090-1113.

[3] Zhang ming cai, Ju guang hong, et al. TGS360Pro predicts the seismic wave field of groundwater in advance Simulation analysis[J] Journal of Shandong University (Engineering Edition), 2021,51( 03):68-75.

[4] Xu ming liang, Bai yu shan, Yao hai bo, et al. TGS360Pro in adverse geological conditions of karst tunnels application in body recognition. [J] Scientific and technological innovation and application, 2020( 09) : 182-183.

[5] Yan ying jun, Li yu qiang, Wang hai tao, et al. TGS360Pro and TRT7000 installed in a tunnel Comparison of Applications in Advanced Geological Forecasting. [J] Journal of Engineering Geophysics, 2021,18(01) : 59-66.

[6] PISETSKI V. Method for Determining the Presence of Fluids in a Subterranean Formation [J] 2000,1 (02): 23-35.

[7] Gu jie wei, Sha yu, et al. Application of TRT advanced prediction system in tunnel excavation [J] Northwest Hydropower, 2017 (04): 95-98.

[8] Li yan, Zhou chen yang, et al. Application of Geological Radar Advanced Prediction Technology in Small Section Tunnel Construction[J] Water conservancy construction and management, 2018,38 (03): 37-40.

Downloads

Published

28-04-2025

Issue

Section

Articles

How to Cite

Qu, P., Cheng, H., Di, S., Chen, Z., & Li, Z. (2025). Advanced Geological Forecasting in the Main Plant of Hydropower Stations. International Journal of Energy, 6(3), 19-24. https://doi.org/10.54097/e6hvpc96