Acoustic waveform inversion in frequency domain: Application to a tunnel environment

Riedel, Christopher; Musayev, Khayal; Baitsch, Matthias; Zhu, Hehua; Hackl, Klaus

doi:10.1016/j.undsp.2021.01.001

Cited by 5 publications

(7 citation statements)

References 21 publications

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“…A rapid increase followed by and sudden decrease can be determined approximately along a line from (x = 78.5, y = 0) to (x = 91, y = 32). This phenomenon has already been observed by Riedel et al (2021b) where it belonged to a layer change. Due to the ambiguity of the inverse problem, the full waveform inversion tries to reconstruct geological features which produce the same reflections.…”

Section: Full Waveform Inversion Resultssupporting

confidence: 60%

“…The proposed approach extends the work which has been presented by Musayev (2017) and Riedel et al (2019Riedel et al ( , 2021a. In Comparison to Riedel et al (2021b) the elastic wave equation is used instead of the acoustic wave equation for forward and inverse wave modeling, which increases the complexity of the inverse problem.…”

Section: Introductionmentioning

confidence: 75%

“…The intensity of the attenuation is described by a quality factor for each elastic property. The impact of attenuation effects on the application of full waveform inversion in a tunnel environment has already been investigated for slightly underestimated and overestimated attenuation by Lamert & Friederich (2019) and Riedel et al (2021b). Within this study no attenuation effects are considered.…”

Section: Frequency Domain Modeling Of Elastic Wavesmentioning

confidence: 99%

“…The application of a convolutional PML in x-direction will be discussed in the same manner as by Riedel et al (2021b). An application in the other spatial directions is straight forward.…”

Section: Frequency Domain Modeling Of Elastic Wavesmentioning

confidence: 99%

“…The potential of frequency domain approaches in the context of mechanized tunneling have only been investigated in combination with the usage of the acoustic wave equation (Riedel et al, 2021b;Wang et al, 2021;Yu et al, 2021), which neglects the dominant influence of shear as well as surface waves. The proposed approach extends the work which has been presented by Musayev (2017) and Riedel et al (2019Riedel et al ( , 2021a.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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

Riedel¹,

Musayev²,

Baitsch³

et al. 2022

Preprint

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

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Section: Full Waveform Inversion Resultssupporting

confidence: 60%

Section: Introductionmentioning

confidence: 75%

Section: Frequency Domain Modeling Of Elastic Wavesmentioning

confidence: 99%

“…The application of a convolutional PML in x-direction will be discussed in the same manner as by Riedel et al (2021b). An application in the other spatial directions is straight forward.…”

Section: Frequency Domain Modeling Of Elastic Wavesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Riedel¹,

Musayev²,

Baitsch³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

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Frequency domain full waveform inversion with small‐scale laboratory measurements for reconnaissance in mechanized tunneling

Riedel

Musayev

Baitsch

et al. 2023

Proc Appl Math and Mech

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In mechanized tunneling, so-called tunnel boring machines (TBMs) drill through the ground in an automatized manner. Therefore, the drilling process is very efficient but the maintenance costs are high. Seismic exploration seems appropriate to identify changing ground conditions in front of the TBM to reduce costs from damages of the TBM and from the corresponding dwell times. Today's seismic exploration techniques are using only a small amount of the information, which is contained in the seismic records from field observations, whereas full waveform inversion (FWI) tries to use the whole content. The potential of different FWI approaches for the application in mechanized tunneling has been investigated. An analysis of the performance of FWI not only employing synthetic examples but additionally measured waveforms is essential. Since seismic surveys at the construction side are not performed with FWI in mind, the data sets are usually not appropriate for testing the developed algorithms. Nevertheless, a validation of FWI approaches by measured waveforms is possible by using waveform recordings from a small-scale experimental setup. A small-scale super high strength grout specimen is constructed for validating an adjoint frequency domain FWI approach. Frequency domain models compute the seismic response of a system for an infinite time interval. The attenuation of the material as well as the attenuation effects at the free surfaces are hard to quantify over an infinite time interval. Therefore, the specimen is designed in a way that four of the six borders can be modeled as absorbing boundaries. For this purpose, the displacement recordings are truncated just before the waves that are reflected at the excluded borders arrive at the measurement points. This design in combination with a notch representing a rectangular tunnel makes the measurements more similar to data from a tunnel construction side. A rectangular hole is embedded in the specimen and acts as material discontinuity, which the FWI approach is aiming to detect.

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A hybrid exploration approach for the prediction of geological changes ahead of mechanized tunnel excavation

Riedel

Mahmoudi

Trapp

et al. 2022

Journal of Applied Geophysics

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Acoustic waveform inversion in frequency domain: Application to a tunnel environment

Cited by 5 publications

References 21 publications

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

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

Frequency domain full waveform inversion with small‐scale laboratory measurements for reconnaissance in mechanized tunneling

A hybrid exploration approach for the prediction of geological changes ahead of mechanized tunnel excavation

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