Abstract
Debottlenecking is highly desirable to increase the production throughput for the oil sands industry. In this work, the bottleneck identification and capacity expansion problem is solved through optimization techniques. In the proposed debottlenecking procedure, first-principles method and Gaussian process modeling approach are applied to build process models. Depending on the type of process model used, the optimization problem is solved either as a parametric linear programming problem or as a nonlinear optimization problem. By solving the optimization problem, the bottlenecks can be identified and the necessary capacity expansion for process units for bottleneck removal is reported. The proposed method is demonstrated through applications in oil sands production process.
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Harsh, M.G., Saderne, P., Biegler, L.T.: A mixed integer flowsheet optimization strategy for process retrofits the debottlenecking problem. Comput. Chem. Eng. 13(8), 947–957 (1989)
Diaz, S., Serrani, A., De Beistegui, R., Brignole, E.A.: A MINLP strategy for the debottlenecking problem in an ethane extraction plant. Comput. Chem. Eng. 19, 175–180 (1995)
Litzen, D.B., Bravo, J.L.: Uncover low-cost debottlenecking opportunities. Chem. Eng. Process 95(3), 25–32 (1999)
Zhang, J., Zhu, X.X., Towler, G.P.: A level-by-level debottlenecking approach in refinery operation. Ind. Eng. Chem. Res. 40(6), 1528–1540 (2001)
Al-Thubaiti, M.M., Al-Azri, N.A., El-Halwagi, M.M.: Integrated techniques for low-cost process debottlenecking. Hydrocarb. Process. 86(9), 161–161 (2007)
Koulouris, A., Calandranis, J., Petrides, D.P.: Throughput analysis and debottlenecking of integrated batch chemical processes. Comput. Chem. Eng. 24(2), 1387–1394 (2000)
Tan, J., Foo, D.C.Y., Kumaresan, S., Aziz, R.A.: Debottlenecking of a batch pharmaceutical cream production. Pharm. Eng. 26(4), 72 (2006)
Tan, R., Lam, H., Kasivisvanathan, H., Ng, D., Foo, D.D.C.Y., Kamal, M., Kleme, J.: An algebraic approach to identifying bottlenecks in linear process models of multifunctional energy systems. Theor. Found. Chem. Eng. 46(6), 642–650 (2012)
Kasivisvanathan, H., Tan, R.R., Ng, D.K., Aziz, M.K.A., Foo, D.C.: Heuristic framework for the debottlenecking of a palm oil-based integrated biorefinery. Chem. Eng. Res. Design 92(11), 2071–2082 (2014)
Key oilsands projects. Canadian Oilsands Navigator. Oilsands Review (2015). Web. 23 Feb 2015. http://navigator.oilsandsreview.com/listing
TOTAL E&P Joslyn Ltd, Joslyn north mine project AI project update section 5: process (2010)
Hugo, A., Pistikopoulos, S.: Long-range process planning under uncertainty via parametric programming. Comput. Aided Chem. Eng. 20, 127–132 (2005)
Li, Z., Ierapetritou, M.G.: Process scheduling under uncertainty using parametric programming. AIChE J. 53(12), 3183–3203 (2007)
Caballero, J.A., Grossmann, I.E.: An algorithm for the use of surrogate models in modular flowsheet optimization. AIChE J. 54(10), 2633–2650 (2008)
Boukouvala, F., Ierapetritou, M.G.: Surrogate-based optimization of expensive flowsheet modeling for continuous pharmaceutical manufacturing. J. Pharm. Innov. 8(2), 131–145 (2013)
Chu, Y., You, F.: Integrated planning, scheduling, and dynamic optimization for batch processes: MINLP model formulation and efficient solution methods via surrogate modeling. Ind. Eng. Chem. Res. 53(34), 13391–13411 (2014)
Li, J., Xiao, X., Boukouvala, F., Floudas, C.A., Zhao, B., Du, G., Liu, H.: Data driven mathematical modeling and global optimization framework for entire petrochemical planning operations. AIChE J. 62(9), 3020–3040 (2016)
Rasmussen, C.E., Williams, C.K.: Gaussian Processes for Machine Learning. MIT press, Cambridge (2006)
Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. Glob. Optim. 13(4), 455–492 (1998)
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The authors greatly appreciate the support from NSERC and Alberta Innovates.
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Yuan, Y., Li, Z. & Huang, B. Oil sands extraction plant debottlenecking: an optimization approach. Optim Lett 14, 945–957 (2020). https://doi.org/10.1007/s11590-018-1349-4
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DOI: https://doi.org/10.1007/s11590-018-1349-4