Abstract
The overall process of discovering hydrocarbon traps, starting with geological exploration through to Seismic Data Processing (SDP) is very expensive and time consuming. In the real-world, the oil and gas production relies on how soon seismic data is computationally processed. The ability for an oil and gas company to perform seismic computation at higher speed within shorter time provides competitive advantage in the race to discover new hydrocarbon reservoirs. We are convinced that the current state of research in areas such as cloud computing, fog computing, and edge computing will make a major change. The goal of this paper is to present the first step towards the development of such a three-level system and show its feasibility in the context of a model for hydrocarbon exploration and discovery operation.
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References
Ibrahim, N.A.: Expert Interview Session with Senior Geophysicist: Seismic Data Acquisition and Processing, Private Communication (2010–2012)
SpectrumData. The Seismic Data Graveyard (2011, 7 July 2011). http://www.spectrumdata.com.au/content.aspx?cid=274
Lefebvre, J.: Geocomputing Services and Solutions: Presentation of GSS services and Geocluster overview. CGGVeritas (2009)
Seismic Micro-Technology Inc.: Cost, Saving and Analysis Results. Seismic Micro Technology Kingdom Return on Investment (ROI) (2010, 7 July 2011). http://www.seismicmicro.com/roi/roi_sample.htm
Technip: Oil and Gas Exploration and Production Reverse, Cost and Contract. Edition Technips, Centre Economic Paris (2007)
Ground Control: Satellite Internet Plans and Pricing: Satellite Internet Services From Ground Control (2011, 7 July). http://www.groundcontrol.com/satellite_internet_service.htm
HughesNet: Broadband Satellite Plans and Pricing. Hughes Network Systems (2011)
Aziz, I.A., Goscinski, A.M., Hobbs, M.M.: Performance evaluation of open source seismic data processing packages. In: Xiang, Y., Cuzzocrea, A., Hobbs, M., Zhou, W. (eds.) ICA3PP 2011. LNCS, vol. 7016, pp. 433–442. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24650-0_37
Aziz, I.A., Goscinski, A.M., Hobbs, M.: In support of hydrocarbon exploration and discovery using clouds. In: International Conference on Computer & Information Science (ICCIS), vol. 2. IEEE (2012)
Yilmaz, Ö.: Seismic Data Analysis: Processing, Inversion, and Interpretation of Seismic Data. Society of Exploration Geophysicists (2001)
Barakat, S.: Seismic acquisition system. U.S. Patent No. 7,573,782, 11 August 2009
Ashton, C.P., et al.: 3D seismic survey design. Oilfield Rev. 6(2), 19–32 (1994)
Elminaam, D.S.A., Kader, H.M.A., Hadhoud, M.M.: Performance evaluation of symmetric encryption algorithms. IJCSNS Int. J. Comput. Sci. Netw. Secur. 8(12), 280–286 (2008)
Fujisaki, E., Okamoto, T.: Secure integration of asymmetric and symmetric encryption schemes. In: Wiener, M. (ed.) CRYPTO 1999. LNCS, vol. 1666, pp. 537–554. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-48405-1_34
Lafourcade, P., et al.: Symetric Encryption. Laboratoire Verimag Centre Equation, Private Communication (2008)
Arnal, F., Gayraud, T., Baudoin, C., Jacquemin, B.: Ip mobility and its impact on satellite networking. In: Advanced Satellite Mobile Systems, ASMS, pp. 94–99 (2008)
Shoji, Y., Takayama, Y., Toyoshima, M., Ohta, H.: Transparent transportation of digitized microwave environments over 10 Gbps optical networks: transportation of multi-channel digital broadcast signals. In International Conference on Transparent Optical Networks (ICTON), pp. 1–4, June 2010
Giffin, G., et al.: Satellite communications system for providing global, high quality movement of very large data files. U.S. Patent No. 7,783,734, 24 August 2010
Giuliano, R., Luglio, M., Mazzenga, F.: Interoperability between WiMAXand broadband mobile space networks [topics in radio communications]. IEEE Commun. Mag. 46(3) (2008)
Zangar, N., et al.: Design, mobility management and analysis of a hybrid WiMAX/satellite network. In: IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE (2009)
Here’s how the Internet of Things will explode by 2020. http://bit.ly/internet_of_things_forecasts_business_opportunities
IEEE Transactions on Services Computing - A Special Issue on Fog/Edge Computing and Services. https://www.computer.org/cms/transactions/cfps/cfp_tscsi_fcs.pdf
1st IEEE International Conference on Fog and Edge Computing, ICFEC 2017, Madrid, Spain, 14–15 May 2017. IEEE Computer Society (2017). ISBN 978-1-5090-3047-7. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8014314
OpenFog Reference Architecture for Fog Computing by OpenFog Consortium. https://www.openfogconsortium.org/
Goscinski, A.M., Luo, M. (eds.): Proceedings of 1st IEEE International Conference on Edge Computing, Hawaii, 25–30 June 2017
Acknowledgments
The authors wish to express their gratitude to Dr. Xiao Liu for making constructive comments to early versions of the paper. The authors would also like to thank the ARC (Australian Research Council) for the support of this project, under the Linkage scheme (LP#150101213).
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Goscinski, A.M., Tari, Z., Aziz, I.A., Alzahrani, E.J. (2018). Fog Computing as a Critical Link Between a Central Cloud and IoT in Support of Fast Discovery of New Hydrocarbon Reservoirs. In: Hu, J., Khalil, I., Tari, Z., Wen, S. (eds) Mobile Networks and Management. MONAMI 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-90775-8_20
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