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Matlab Software in PC to Replace Embedded System Used in Seismic Exploration

M. F. Rocha 1, Z. C. Flores 1, R. Navarrete 1, E. Andrade 2, C. Canto 2, M. E. Rocha 3, and M. I. Rocha G. 4
1. ESIME-Z, Instituto Politécnico Nacional, ALM Zacatenco, México D.F. 07738, México
2. Instituto de Física, Universidad Nacional Autónoma de México, Apartado Postal 20-364, México D. F. 01000, México
3. Physics Department, ISB 313, University of California, Santa Cruz, CA 95064
4. Institut Jean Lamour, UMR 7198 CNRS-Universite de Lorraine, ENSTIB, 27 rue Philippe Seguin, BP 1041

Abstract—Seismic exploration is the search for underground storage of crude oil, natural gas and minerals, commercially viable, through registration, processing and interpretation of artificially induced acoustic waves, and includes processes and activities such as seismic data; drilling; technical team to get data. The importance of this activity lies in the information that these sites may have before making such a large investment in your piercing. The seismic exploration is a complex technology that combines advanced physics, mathematics and computing. The Backup software systems used in seismic exploration is an expensive and complex system. Therefore, in this paper we present a series of algorithms that run on a Personal Computer, are written in Matlab code, to date, This Software is rapidly gaining users to solve problems as presented, because the costs will be dramatically reduced. This is achieved by algorithms which are grouped into a small number of toolboxes Matlab functionality and extends, confirm the approach undertaken within the implementation of a dynamic and easy to use method, especially economical compared to the systems currently used in seismic exploration.

Index Terms—seismic, exploration, Matlab

Cite: M. F. Rocha, Z. C. Flores, R. Navarrete, E. Andrade, C. Canto, M. E. Rocha, and M. I. Rocha G., "Matlab Software in PC to Replace Embedded System Used in Seismic Exploration," Journal of Industrial and Intelligent Information, Vol. 4, No. 2, pp. 163-171, March 2016. doi: 10.18178/jiii.4.2.163-171
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