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The excavation process in mechanized tunneling can be improved byreconnaissance of the geology ahead. A nondestructive exploration can beachieved in means of seismic imaging. A full waveform inversion approach, whichworks in the frequency domain, is investigated for the application intunneling. The approach tries to minimize the difference of seismic recordsfrom field observations and from a discretized ground model by changing theground properties. The final ground model might be a representation of thegeology. The used elastic wave modeling approach is described as well as theapplication of convolutional perfectly matched layers. The proposed inversionscheme uses the discrete adjoint gradient method, a multi-scale approach aswell as the L-BFGS method. Numerical parameters are identified as well as avalidation of the forward wave modeling approach is performed in advance to theinversion of every example. Two-dimensional blind tests with two differentground scenarios and with two different source and receiver stationconfigurations are performed and analyzed, where only the seismic records, thesource functions and the ambient ground properties are provided. Finally, aninversion for a three-dimensional tunnel model is performed and analyzed forthree different source and receiver station configurations.

Elastic waveform inversion in the frequency domain for an application in mechanized tunneling