Joint probabilistic inversion of DC resistivity and seismic refraction data applied to bedrock/regolith interface delineation

2019 ◽  
Vol 170 ◽  
pp. 103839 ◽  
Author(s):  
G. de Pasquale ◽  
N. Linde ◽  
A. Greenwood
Keyword(s):  
Seismic Refraction ◽  
Dc Resistivity ◽  
Seismic Refraction Data ◽  
Refraction Data ◽  
Probabilistic Inversion

scholarly journals Utilization of seismic refraction data for the study of structure of Bang hot-water source, Le Thuy, Quang Binh

2016 ◽  
Vol 38 (4) ◽  
Author(s):  
Tran Anh Vu* ◽  
Dinh Van Toan ◽  
Doan Van Tuyen ◽  
Lai Hop Phong ◽  
Duong Thi Ninh ◽  
...  
Keyword(s):  
Seismic Refraction ◽  
Water Source ◽  
Hot Water ◽  
Seismic Refraction Data ◽  
Refraction Data

scholarly journals Detailed shallow structure seismic refraction investigation, with the application of different processing techniques

2001 ◽  
Vol 34 (4) ◽  
pp. 1309
Author(s):  
Τ. ΠΑΠΑΔΟΠΟΥΛΟΣ ◽  
Π. ΚΑΜΠΟΥΡΗΣ ◽  
Ι. ΑΛΕΞΟΠΟΥΛΟΣ
Keyword(s):  
Seismic Velocity ◽  
Seismic Refraction ◽  
Seismic Sources ◽  
Subsurface Structure ◽  
Seismic Refraction Data ◽  
Processing Techniques ◽  
National Road ◽  
Gradual Variation ◽  
Refraction Data ◽  
Shallow Structure

A comparative study of conventional and modern processing techniques of seismic refraction data is examined in this paper, for shallow structure investigation in the framework of a geotechnical research. The techniques used here were applied for the detection of narrow and low seismic velocity zones along the bedrock in the 10.5th Km of the new national road Igoumenitsa-Ioannina. The results were comparable and only slight deviations were observed due mainly to different algorithm procedures applied on data and the resolution provided by each technique. It is pointed out that the non linear tomography seismic refraction technique, overcomes the conventional ones since by increasing the number of seismic sources and considering the gradual variation of seismic velocity with depth, a better resolution and image reconstruction for the subsurface structure is obtained.

Refrapy: A Python program for seismic refraction data analysis

2022 ◽  
Vol 159 ◽  
pp. 105020
Author(s):  
Victor José Cavalcanti Bezerra Guedes ◽  
Susanne Taina Ramalho Maciel ◽  
Marcelo Peres Rocha
Keyword(s):  
Data Analysis ◽  
Seismic Refraction ◽  
Seismic Refraction Data ◽  
Refraction Data
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