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Neural network journal by Engr. Edgar Carrillo II

This presentation talks about the design of natural gas pipelines in its controls using neural networks.

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Neural network journal by Engr. Edgar Carrillo II

  1. 1. Optimizing the Control Process of a designed Natural Gas Pipeline Using Neural Network By: Engr. Edgar Caburatan Carrillo II Master of Science in Mechanical Engineering De La Salle University Manila, Philippines
  2. 2. Events:  2013 (24 October) Kazakhstan's giant Kashagan oil field closed during investigation[1] opportunity lost: 160,000 barrels/day*$100/barrel=$ 16,000,000/day x P 40= P 640,000,000/day Leak lost: 10% leakage: P 64,000,000/day if operational  2013 (8 October) Explosion of a natural gas pipeline near Rosston, Oklahoma[2]  2013 (20 August) Explosion of a natural gas pipeline near Kiowa southwest of Oklahoma City[3]  2011 Nairobi pipeline fire kills approximately 100 people and hospitalized 120[3]  2004: A major natural gas pipeline exploded in Ghislenghien, Belgium near Ath (50 kilometres southwest of Brussels), killing 24 people and leaving 122 wounded, some critically on July 30, 2004[4]
  3. 3. Problem In natural gas pipeline, leaks may took place and hard to detect using visual inspection [5].
  4. 4. Solution http://numericalmethods.eng.usf.edu A Neural network system that detect the leakage.
  5. 5. http://numericalmethods.eng.usf.edu Objectives 1. Determine the leakage detection capability using neural network.
  6. 6. http://numericalmethods.eng.usf.edu Neural Network In computer science and related fields, artificial neural networks are computational models inspired by animals' central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition. They are usually presented as systems of interconnected "neurons" that can compute values from inputs by feeding information through the network.
  7. 7. Conclusion This neural network system is design to help automate the detecting of leaks of natural gas pipeline. Creation of a pipeline system under management and optimizing the system will sure save cost for companies at the same time minimizing the environmental impacts.
  8. 8. References 1] UPI,Homepage of Top News as on Oct. 25,2013. URL: http://www.upi.com/Top_News/Special/2013/10/24/Kazakhstans-giant- Kashagan-oil-field-closed-during-investigation/UPI- 37691382618622/#ixzz2iiGlVDGA. [2] Huffingtonpost, Homepage of Oklahoma Explosion as on Oct. 25,2013. URL: http://www.huffingtonpost.com/2013/10/09/oklahoma-pipeline- explosion_n_4068377.html. [3] Wikipedia, Homepage of pipeline accidents as on Oct. 25,2013. URL: http://en.wikipedia.org/wiki/List_of_pipeline_accidents. [4] Iab, Homepage of Belgium Explosion as on Oct. 25,2013. http://www.iab- atex.nl/publicaties/database/Ghislenghien%20Dossier.pdf. [5] Chan & Sun, Fuzzy Expert System for optimizing pipeline operation,1997
  9. 9. References [6]Chamani, Pourshahabi, Sheikholeslam, Fuzzy genetic algorithm approach for optimization of surge tanks,Volume 20, Issue 2, April 2013, Pages 278- 285. [7] Fa-Chao Li , Li-Min Liu , Chen-Xia Jin, Study on fuzzy optimization methods based on quasi-linear fuzzy number and genetic algorithmComputers & Mathematics with Applications, Volume 57, Issue 1, January 2009, Pages 67–78 [8] Singh & Nain , Optimization of Natural Gas Pipeline Design and Its Total Cost Using GA, 2012. [9] R.L. Salcedo, Solving Nonconvex Nonlinear Programming Problems with Adaptive Random Search. Industrial & Engineering Chemistry Research, 31, 262, 1992. [10] C.A. Floudas, Nonlinear and mixed-integer optimization. Oxford University Press, New York, 1995. References
  10. 10. References [11] G.C. Onwubolu, and B.V. Babu, New Optimization Techniques in Engineering. Springer-Verlag, Heidelberg, Germany, 2003 (In Print). [12] R.E. Larson, and P.J.Wong, “ Optimiztion of Natural Gas System via Dynamic Programming”, Industrial and Engineering Chemistry, AC 12(5), 475-481,1968. [13] G.E. Graham, D.A. Maxwell, and A. Vallone, “ How to Optimize Gas Pipeline Networks” , Pipeline Industry, June, 41-43, 1971. [14] H.B. Martch, and N.J. McCall, “ Optimization of the Design and Operation of Natural Gas Pipeline Systems” , Paper No. SPE 4006, Society of Petroleum Engineers of AIME, 1972. [15] O. Flanigan, “ Constrained Derivatives in Natural Gas Pipeline System Optimization” , Journal of Petroleum Technology, May, 549, 1972.
  11. 11. References [15] R.S.H. Mah, and M. Schacham, “ Pipeline Network Design and Synthesis” , Advances in Chemical Engineering, 10, 1978. [16] A.P. Cheesman, “ How to Optimize Gas Pipeline Design by Computer” . Oil and Gas Journal, 69 (51), December 20, 64, 1971. [17] T.F. Edgar, D.M. Himmelblau, and T.C. Bickel, “ Optimal Design of Gas Transmission Network” , Society of Petroleum Engineering Journal,30, 96, 1978. [18] T.F. Edgar, D.M. Himmelblau, Optimization of Chemical Processes, McGraw Hill Book Company, New York, 1988. [19] K. Price, and R. Storn, Home Page of Differential Evolution as on June 25, 2003. URL: http://www.ICSI.Berkeley.edu/~storn/code.html. [20] B.V.Babu, Rakesh Angira, Pallavi G. Chakole, and J.H. Syed Mubeen, Optimal Design of Gas Transmission Network Using Differential Evolution.

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This presentation talks about the design of natural gas pipelines in its controls using neural networks.

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