Skip navigation

Please use this identifier to cite or link to this item:
Title: Uncertainty based multi-step seismic analysis for near-surface imaging
Authors: Marciniak, Artur
Stan-Kłeczek, Iwona
Idziak, Adam
Majdański, Mariusz
Keywords: MASW; Seismic Imaging; Seismic Tomography; Uncertainty
Issue Date: 2019
Citation: Open Geosciences, Vol. 11 (2019), s. 727-737
Abstract: Near-surface seismic surveys are often designed for surface wave and seismic tomographic analysis. In recent years, seismic imaging methods have been more frequently used at this scale. Recognition of near-surface structures using a single method is insufficient because of the ambiguity of the inversion problem. As a solution, the authors propose a multi-step approach, where several different seismic methods are used in a particular order, to achieve an optimal model. A multi-method approach allows utilisation of awhole spectrum of recorded data, even the elements that are treated as background noise in other techniques. In classical processing approach, information about data uncertainty is often omitted or used in the simplest way for the single method only. This work presents an updated approach to uncertainty analysis by transferring estimated uncertainty between processing steps. By assuming that every consecutively applied method is more certain, the authors were able to obtain accurate velocity fields for seismic imaging, as the main information received from the previous steps. Based on information from multiple methods, a seismic stack in the depth domain was created as a final result, with an estimate of uncertainty.
DOI: 10.1515/geo-2019-0057
ISSN: 2391-5447
Appears in Collections:Artykuły (WNP)

Files in This Item:
File Description SizeFormat 
Marciniak_Uncertainty_based_multi-step_seismic.pdf4,65 MBAdobe PDFView/Open
Show full item record

Uznanie Autorstwa 3.0 Polska Creative Commons License Creative Commons