![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/100B5CBF-0DA1-427B-8437-59E58055ABF5 | ||
| Year | 2018 | ||
| Type of Item | Diploma Work | ||
| License |
|
||
| Bibliographic Citation | Marios-Stylianos Akritidis, "Seismic tomography and DAS technology contribution to landslide imaging and monitoring", Diploma Work, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.79953 | ||
| Appears in Collections |
The present thesis examines the application of the new distributed acoustic sensing technology (DAS) and compares it with the conventional method of seismic tomography. More specifically, DAS technology is being studied and compared to the existing conventional seismic tomography technology, in the subsurface imaging for landslide monitoring.To achieve the above, a seismic refraction survey simulation was performed. A four-layer model corresponding to a geological section of the Bavarian Alps was used. The characteristics of this section have been determined by the combined interpretation of the ground-penetrating radar (GPR), electrical resistivity tomography (ERT) and seismic refraction (SR) methods.In particular, the interpreted geophysical section from the study area was digitized, and then the algorithm PSV_SYNTHETICS_VER11, developed in the Laboratory of Applied Geophysics of the Technical University of Crete in Matlab, was used to simulate the two-dimensional (2D) seismic tomography experiment. Synthetic data was generated for 5 different source locations along the model. Subsequently, the first arrivals were selected and processed using the SeisImager software (Plotrefa program). For the representation of the conventional method of seismic tomography and DAS technology, receivers spacing were set at 6m and 1m, respectively.In summary, it is concluded that the distributed acoustic sensing (DAS) is superior to conventional seismic tomography regarding the ability to distinguish the layers of the model. Fiber optics allows the detailed examination of the subsurface as it functions as an array of receivers located in very small distances. Additionally, the DAS methodology can be applied in cases where the implementation of conventional seismic tomography is impossible, for practical as well as economic reasons.
Copyright © DIAS 2013
