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

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. 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. Problem
In natural gas pipeline, leaks may took place and hard to
detect using visual inspection [5].

4. Solution
http://numericalmethods.eng.usf.edu
A Neural network system that detect the leakage.

5. http://numericalmethods.eng.usf.edu
Objectives
1. Determine the leakage detection capability using neural
network.

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. 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. 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. 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. 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. 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.