A staged genetic algorithm for tomographic inversion of seismic refraction data

1995 ◽  
Vol 26 (2-3) ◽  
pp. 331-335 ◽  
Author(s):  
Fabio Boschetti ◽  
Mike Dentith ◽  
Ron List
Keyword(s):  
Genetic Algorithm ◽  
Seismic Refraction ◽  
Tomographic Inversion ◽  
Seismic Refraction Data ◽  
Refraction Data

scholarly journals Inversion of seismic refraction data using genetic algorithms

Geophysics ◽  
1996 ◽  
Vol 61 (6) ◽  
pp. 1715-1727 ◽  
Author(s):  
Fabio Boschetti ◽  
Mike C. Dentith ◽  
Ron D. List
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Seismic Refraction ◽  
Solution Space ◽  
Optimization Methods ◽  
Data Set ◽  
Weathered Layer ◽  
Seismic Refraction Data ◽  
Refraction Data

The use of genetic algorithms in geophysical inverse problems is a relatively recent development and offers many advantages in dealing with the nonlinearity inherent in such applications. However, in their application to specific problems, as with all algorithms, problems of implementation arise. After extensive numerical tests, we implemented a genetic algorithm to efficiently invert several sets of synthetic seismic refraction data. In particular, we aimed at overcoming one of the main problems in the application of genetic algorithms to geophysical problems: i.e., high dimensionality. The addition of a pseudo‐subspace method to the genetic algorithm, whereby the complexity and dimensionality of a problem is progressively increased during the inversion, improves the convergence of the process. The method allows the region of the solution space containing the global minimum to be quickly found. The use of local optimization methods at the last stage of the search further improves the quality of the inversion. The genetic algorithm has been tested on a field data set to determine the structure and base of the weathered layer (regolith) overlaying a basement of granite and greenstones in an Archaean terrain of Western Australia.

Microcomputer-based version of SIPT; a program for the interpretation of seismic-refraction data

1987 ◽  
Author(s):  
F.P. Haeni ◽  
Deborah G. Grantham ◽  
Karl Ellefsen
Keyword(s):  
Seismic Refraction ◽  
Seismic Refraction Data ◽  
Refraction Data

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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