AUTHORS: Luiz H. S. Torres, Leizer Schnitman

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ABSTRACT: This paper presents an robust adaptive controller being used to address some of the uncertainties in the system model, including unmodeled dynamics, parameter variations, and the presence of perturbations in the automatic control system of a real sucker-rod pump. The results show that the control system is able to satisfactorily handle uncertainties and variations, such as in the pumped fluid composition, a very common situation in real production fields. Experimental tests conducted in a real plant validate the robustness of the control algorithm.

KEYWORDS: Adaptive control, Robust control, Sucker-rod pumping, Smart oil fields, System automation, Variable structure control

REFERENCES:

[1] W. L. Lake. Petroleum Engineering Handbook, volume 04. Society of Petroleum Engineers, Richardson, New York, USA, 2006.

[2] G. Takacs. ´ Sucker-Rod Pumping Manual. PennWell Books, Tulsa, USA, 2002.

[3] M. A. D. Bezerra, L. Schnitman, M. A. Barreto Filho, and J. A. M. Felippe de Souza. Pattern recognition for downhole dynamometer card in oil rod pump system using artificial neural networks. In Proceedings of 11th International Conference on Enterprise Information Systems, pages 351–355, Milan, Italy, May 2009. isbn: 978-989-8111-85-2.

[4] S. Petersen, P. Doyle, Carlsen, S., F. H. van der Linden, B. Myhre, M. Sansom, A. Skavhaug, E. Mikkelsen, and D Sjong. A survey of wireless technology for the oil and gas industry. SPE Projects, Facilities and Construction, 3(4):18, 2008. doi: 10.2118/112207-PA.

[5] B. Smith, M. Hall, A. Franklin, E. S. Johansen, nalmis, and H. Field-wide deployment of in-well optical flowmeters and pressure/temperature gauges at buzzard field. In Proceedings of SPE Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, February 2008. Society of Petroleum Engineers. doi: 10.2118/112127-MS.

[6] E. van der Steen. Bsp: An evolution from smart wells to smart fields. In Proceedings of Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, April 2006. Society of Petroleum Engineers. doi: 10.2118/100710-MS.

[7] I. H. Al-Arnaout, S. M. Al-Driweesh, and R. M. Al-Zarani. Wells to intelligent fields: Remotely operated smart well completions. In Proceedings of Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, February 2008. Society of Petroleum Engineers. doi: 10.2118/112226-MS.

[8] H. Pinto, M. S. Silva, and G. Izetti. Integrated multizone low-cost intelligent completation. In Proceedings of SPE Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, April 2006. Society of Petroleum Engineers. doi: 10.2118/99948-MS.

[9] F. Eldred, A. S. Cullick, S. Purwar, and S. Arcot. A small operator’s implementation of a digital oil-field initiative. In Proceedings of 2015 SPE Digital Energy Conference and Exhibition, The Woodlands, USA, March 2015. Society of Petroleum Engineers. doi: 10.2118/173404-MS.

[10] L. A. Saputelli, C. Bravo, G. Moricca, R. Cramer, M. Nikolaou, C. Lopez, and S. Mochizuki. Best practices and lessons learned after 10 years of digital oilfield (dof) implementations. In Proceedings of SPE Kuwait Oil and Gas Show and Conference, Kuwait City, Kuwait, October 2013. Society of Petroleum Engineers. doi: 10.2118/167269-MS.

[11] G. V. Moises, T. A. Rolim, and J. M. Formigli. ´ Gedig: Petrobras corporate program for digital integrated field management. In Proceedings of SPE Intelligent Energy Conference and Exhibition, Amsterdam, The Netherlands, February 2008. Society of Petroleum Engineers. doi: 10.2118/112153-MS.

[12] M. Z. I. Ahmad, L. S. Colinus, M. S. Muzahidin, and M. K. Som. Samarang integrated operations (io) achieving well performance monitoring, surveillance and optimization through data and model driven workflows automation. In Proceedings of 2015 SPE Digital Energy Conference and Exhibition, The Woodlands, USA, March 2015. Society of Petroleum Engineers. doi: 10.2118/173578-MS.

[13] L. A. Saputelli, M. Y. Khan, H. Chetri, R. Cramer, and S. Singh. Waterflood optimization and its impact using intelligent digital oil field (idof) smart workflow processes: A pilot study in sabriyah mauddud, north kuwait. In Proceedings of 2014 International Petroleum Technology Conference, Doha, Qatar, January 2014. Society of Petroleum Engineers. doi: 110.2523/17315-MS.

[14] K. Al-Yateem, M. Al-Amri, R. Ahyed, F. Aminzadeh, A. Althukair, and F. Al-Khelaiwi. Effective utilization of smart oil fields infrastructure towards optimal production and real time reservoir surveillance. In Proceedings of 2014 International Petroleum Technology Conference, Doha, Qatar, January 2014. Society of Petroleum Engineers. doi: 110.2523/17315-MS.

[15] E. Camponogara, A. Plucenio, A. F. Teixeira, ˆ and S. R. V. Campos. An automation system for gas-lifted oil wells: Model identifi- cation, control, and optimization. Journal of Petroleum Science and Engineering, 70:157167, 2010. doi:10.1016/j.petrol.2009.11.003.

[16] B. Ordonez, A. Codas, and U. F. Moreno. ˜ Improving the operational conditions for the sucker-rod pumping system. In Proceedings of IEEE International Conference on Control Applications, pages 1259–1264, Saint Petersburg, Russia, July 2009. IEEE. doi: 10.1109/CCA.2009.5281122.

[17] B. Ordonez, A. Codas, and U. F. Moreno. ˜ Sucker-rod pumping system: Simulator and dynamic level control using downhole pressure. In Proceedings of 13th IEEE International Conference on Emerging Technologies and Factory Automation, pages 282–289, Hamburg, Germany, September 2008. IEEE. doi: 10.1109/ETFA.2008.4638408.

[18] H. Zhou and D. Xu. Robust fault-tolerant tracking control scheme for nonlinear nonaffine-incontrol systems against actuator faults. WSEAS Transactions on Systems and Control, 10(5):29– 37, 2015. issn: 1991-8763 / e-issn: 2224-2856.

[19] T. Kim. Robust predictive control combined with an adaptive mechanism for constrained uncertain systems subject to disturbances. WSEAS Transactions on Systems and Control, 9(60):574–589, 2014. issn: 1991-8763 / e-issn: 2224-2856.

[20] L. H. S. Torres, L. Schnitman, and J. M. A. Felippe de Souza. Robust adaptive control of a sucker-rod pumping system of oil wells. In Recent Advances in Circuits, Communications and Signal Processing: Proceedings of 12th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA’13), pages 273–278, Cambridge, UK, February 2013. WSEAS. issn: 1790-5117 / isbn: 978-1-61804- 164-7.

[21] R. Peterson, T. Smigura, C. Brunings, W. Quijada, and A. Gomez. A production increases at pdvsa using a improved srp control. In Proceedings of SPE Annual Technical Conference and Exhibition, San Antonio, USA, September 2006. Society of Petroleum Engineers. doi: /10.2118/103157-MS.

[22] M. de A. Barreto Filho. Estimation of average reservoir pressure and completion skin factors of wells that produce using sucker rod pumping. PhD thesis, The University of Texas at Austin, Austin, USA, 2001.

[23] J. E. Thomas, A. A. Triggia, C. A. Correia, C. V. Filho, J. A. D. Xavier, J. C. V. Machado, J. E. de S Filho, J. L. de Paula, N. C. M.de Rossi, N. E. S. Pitombo, P. C. V. de M. Gouvea, R. de S. Carvalho, and R. V. Barragan. Fundamentos de Engenharia de Petrleo. Ed. Interciłncia, Rio de Janeiro, Brasil, 2001.

[24] J. B. de Oliveira and A. D. Araujo. Indirect ´ variable structure model reference adaptive control: Indirect vs-mrac. In in Proceedings of XIV Brazilian Control Conference (CBA), pages 2557–2562, 2002. (in portuguese).

[25] L. Hsu and R. R. Costa. Variable structure model reference adaptive control using only input and output measurements part i. International Journal of Control, 49(2):349–416, 1989.

[26] J. B. de Oliveira and A. D. Araujo. Design and ´ stability analysis of an indirect variable structure model reference adaptive control. International Journal of Control, 81(12):1870–1877, 2008. doi: 10.1080/00207170801918568.

[27] J. B. de Oliveira, A. D. Araujo, and S. M. Dias. ´ Controlling the speed of a three-phase induction motor using a simplified indirect adaptive sliding mode scheme. Control Engineering Practice, 18(6):577–584, June 2010.

[28] K. Astrom and B. Wittenmark. Adaptive Control. Dover, New York, USA, 2008.

[29] P. A. Ioannou and J. Sun. Robust Adaptive Control. Prentice-Hall, New Jersey, USA, 1996.

[30] Y. Lim, R. Venugopal, and A. Galip Ulsoy. Auto-tuning and adaptive control of sheet metal forming. Control Engineering Practice, 20(2):156–164, 2012. doi: 10.1016/j.conengprac.2011.10.006.

[31] V. I. Utkin. Sliding Modes and Their Application in Variable Structure Systems. MIR, Moscow, Russia, 1978.