当前位置:
X-MOL 学术
›
Int. J. Min. Sci. Technol.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Inverting the rock mass P-wave velocity field ahead of deep buried tunnel face while borehole drilling
International Journal of Mining Science and Technology ( IF 11.7 ) Pub Date : 2024-06-21 , DOI: 10.1016/j.ijmst.2024.06.001 Liu Liu , Shaojun Li , Minzong Zheng , Dong Wang , Minghao Chen , Junbo Zhou , Tingzhou Yan , Zhenming Shi
International Journal of Mining Science and Technology ( IF 11.7 ) Pub Date : 2024-06-21 , DOI: 10.1016/j.ijmst.2024.06.001 Liu Liu , Shaojun Li , Minzong Zheng , Dong Wang , Minghao Chen , Junbo Zhou , Tingzhou Yan , Zhenming Shi
Imaging the wave velocity field surrounding a borehole while drilling is a promising and urgently needed approach for extending the exploration range of the borehole point. This paper develops a drilling process detection (DPD) system consisting of a multifunctional sensor and a pilot geophone installed at the top of the drilling rod, geophones at the tunnel face, a laser rangefinder, and an onsite computer. A weighted adjoint-state first arrival travel time tomography method is used to invert the P-wave velocity field of rock mass while borehole drilling. A field experiment in the ongoing construction of a deep buried tunnel in southwestern China demonstrated the DPD system and the tomography method. Time-frequency analysis of typical borehole drilling detection data shows that the impact drilling source is a pulse-like seismic exploration wavelet. A velocity field of the rock mass in a triangular area defined by the borehole trajectory and geophone receiving line can be obtained. Both the borehole core and optical image validate the inverted P-wave velocity field. A numerical simulation of a checkerboard benchmark model is used to test the tomography method. The rapid convergence of the misfits and consistent agreement between the inverted and observed travel times validate the P-wave velocity imaging.
更新日期:2024-06-21