APPLICATION OF PARALLEL PROCESSING - A CASE STUDY ON SEISMIC EXPLORATION

Karmiela Nazirah binti Mohd Aripin #1, Mohamed Faidz Mohamed Said #2

# Faculty of Computer and Mathematical Science, University Teknologi MARA
70300 Seremban, Negeri Sembilan, MALAYSIA

1 karmielanazirah@gmail.com
2 faidzms@ieee.org

 
Abstract—Seismic exploration is a set of geophysical methods of exploration based on a study of artificially induced waves of elastic vibrations propagating in the Earth crust. To overcome this problem, in this study, a new technique is provided in generating public key and secret key in asymmetric cryptosystems. This study has covered the calculation involving encryption and decryption of three asymmetric cryptosystems which are RSA Cryptosystem, Key Exchange Cryptosystem and ElGamal Cryptosystem. This method is used by applying Fibonacci numbers according to ANZF algorithm motivated by Artan Luma. At the end of this study, a new method is presented where key generation of three basic asymmetric cryptosystems and some possible attacks have been considered and it is shown that the system is secure from those attack and provides higher security level. Lastly, it is assured that this modification is effective and can be extended. In this article, discussions are made on the parallel implementation of seismic migration and modelling algorithms based on fourteen review paper about seismic exploration.

Keywords: seismic, exploration, parallel, processing, geophysical



REFERENCES

[1]	Phadke, S., Rastogi, R., Yerneni, S., & Chakraborty, S. (2002, January). Parallel distributed seismic imaging algorithms on PARAM 10000. In Fourth International Conference and Exposition of the Society of Petroleum Geophysicists (SPG’2002).

[2]	Phadke, S., Yerneni, S., Chakraborty, S., & Bhardwaj, D. Seismic Numerical Modeling on PARAM Padma.

[3]	Choi, Y., et al. (2005). "Efficient calculation of the steepest descent direction for source-independent seismic waveform inversion : An amplitude approach." Journal of Computational Physics 208(2): 455-468.

[4]	Bhardwaj, D., Yerneni, S., & Phadke, S. (1999). Parallel computing in seismic data processing. In 3rd International Petroleum Conf. and Exhibition (PETROTECH-99) (pp. 279-285).

[5]	Mok, Y. J., Park, C. S., & Nam, B. H. (2016). A borehole seismic source and its application to measure in-situ seismic wave velocities of geo-materials. Soil Dynamics and Earthquake Engineering, 80, 127-137.

[6]	Purnell, N. P., Anderson, A., & Kapoor, S. (2000). Parallel seismic processing work flows allow fast-track interpretation. Offshore, 60(1), 43-5.

[7]	Belina, F. A., et al. (2009). "Inversion of crosshole seismic data in heterogeneous environments: Comparison of waveform and ray-based approaches." Journal of Applied Geophysics 68(1): 85-94.

[8]	Bleibinhaus, F., et al. (2009). "Applying waveform inversion to wide-angle seismic surveys." Tectonophysics 472(1-4): 238-248.

[9]	Mok, Y. J., et al. (2016). "A borehole seismic source and its application to measure in-situ seismic wave velocities of geo-materials." Soil Dynamics and Earthquake Engineering 80: 127-137.

[10]	Mondol, N. H. (2010). "Seismic Exploration." 375-402.

[11]	Sourbier, F., et al. (2009). "FWT2D: A massively parallel program for frequency-domain full-waveform tomography of wide-aperture seismic data—Part 1." Computers & Geosciences 35(3): 487-495.

[12]	Aripin, K. N. M. (2017). 170525 CSC580 KNMA, youtube.

[13]	Bleibinhaus, F., et al. (2009). "Applying waveform inversion to wide-angle seismic surveys." Tectonophysics 472(1-4): 238-248.

[14]	Bhardwaj, D., Yerneni, S., & Phadke, S. (1999). Parallel computing in seismic data processing. In 3rd International Petroleum Conf. and Exhibition (PETROTECH-99) (pp. 279-285).

[15]	https://www.youtube.com/watch?v=Bd9ERNGTRFs