M.Sc. Tezi Görüntüleme

Student: Orhan KESEMEN
Supervisor: Prof. Dr. Kenan GELİŞLİ
Department: Geophysical Engineering
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Title of the Thesis: NEW APPROACHES IN PROCESSING THE GROUND PENETRATING RADAR (GPR) DATA
Level: M.Sc.
Acceptance Date: 16/3/2007
Number of Pages: 211
Registration Number: di584
Summary:

       Recently, the investigations of the shallow subsurface are increasingly important for engineering activities. An especially preferred geophysical method for the detection of archeological resource, strength of the structure and environmental pollution is GPR.

In this study, although GPR data processing steps are similar to seismic data processing, both measurement system and measurement unit are different. Hence, the data processing techniques have been investigated; new data processing techniques have been developed and also computer programs were developed for more reliable processing. Therefore, a software package (SAMBAT) was prepared and the effects of these techniques in the applications were investigated. These data processing techniques were applied to prepare synthetic GPR data.

      Stacked enveloped gain correction (SEGC) developed of new techniques of data processing figure out problems for another gain correction has trouble for choosing parameters, suppress lateral events and inflates the residual events.

While the velocity analysis is commonly used the data in common depth point gathers and rarely used the data in common shot gathers, new methods are suggested for the velocity analysis in common offset gathers. But, in this study new methods are proposed for common offset gather data. Also, vertical and horizontal velocity analyses developed were aided for interpretation GPR section.

      

      

      Keywords: Ground Penetrating Radar, Data Processing, Mathematical Transforms, Filters, Vertical Velocity Analysis, Horizontal Velocity Analysis, Stacked Envelope Gain Correction, Estimation of the Shallow Ground Structure, Landslide, SAMBAT