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Hashem Shahsavani

Hashem Shahsavani

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 36653243900
HIndex:
Faculty: Faculty of Engineering
Address: Room #203- Department of Mining-Faculty of Engineering-University of Kurdistan-Sanandaj-Kurdistan-Iran Postal code: 6617715175
Phone: 0871-6622736

Research

Title
Processing a multifold ground penetration radar data using common-diffraction-surface stack method
Type
JournalPaper
Keywords
,Ground Penetration Radar CRS, CDS,
Year
2019
Journal journal of mining and environment
DOI
Researchers Hashem Shahsavani

Abstract

Recently, the non-destructive methods have become of interest to the scientists in various fields. One of these method is Ground Penetration Radar (GPR), which can provide a valuable information from underground structures in a friendly environment and cost-effective way. To increase the signal-to-noise (S/N) ratio of the GPR data, multi-fold acquisition is performed, and the Common-Mid-Points (CMPs) are acquired. Compared to the traditional CMP method, which is applied to a CMP, the Common-Reflection-Surface (CRS) method is introduced for seismic data processing considering the neighboring CMPs. In addition, instead of a point on the reflector, CRS assumes that the reflector is part of a circle. With these two characteristics, CRS produces a stack section with a high S/N ratio. The Common-Diffraction-Surface (CDS) method, which is a simplified version of CRS, enhances the diffractors related to the underground anomalies like pipeline, flume, and caves. We apply the CDS stack method on a multi-fold GPR data and compare it to the CRS results. These results show that the CDS method can provide a high S/N ratio stack section compared to the traditional CMP method.