Characterization of crude feed and products from operating conditions by using continuous probability functions and inferential models

Doug Hyung Lee; Euy Soo Lee; Sang Jin Park

Korean Journal of Chemical Engineering, Vol.23, No.4, 517-521, July, 2006

Doug Hyung Lee, Euy Soo Lee , and Sang Jin Park^†

Department of Chemical and Bio-chemical Engineering, Dongguk University, 3-26, Pil-dong, Choong-gu, Seoul 100-715, Korea

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The purpose of this paper is to provide information for the characterization of the products and feed of a crude fractionator, hard to get from a hardware system, by using probability function and inferential model of realtime operating conditions. TBP is a major characteristic of CDU products and feed. It has become possible to consider that the TBP of component can be predicted by using an inferential modeling technique such as partial least square (PLS) or artificial neural network. On the other hand, knowing that the characteristic of each product of a crude distillation unit follows a continuous probability distribution function, variables of the probability distribution function can be calculated from operating conditions in the same way. In general, the proposed model can provide a tool for doing more efficient operations to maximize profit.

Keywords:TBP;Crude Characterization;Petroleum Crude;Probability Distribution Functions;Inferential Model

[References]

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Chatterjee T, Saraf DN, J. Process Control, 14(1), 61 (2004)
Dave DJ, Dabhiya MZ, Satyadev SVK, Ganguly S, Saraf DN, J. Process Control, 13(3), 267 (2003)
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Friedman YZ, Hydrocarb. Process., 73, 97 (1994)
Haswell SJ, Walmsley AD, Anal. Chim. Acta, 400, 399 (1999)
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Kresta J, MacGregor JF, Marlin T, Can. J. Chem. Eng., 69, 35 (1991)
Kumar V, Sharma A, Chowhury IR, Ganguly S, Saraf DN, Fuel Process. Technol., 73, 1 (2001)
Messick NJ, Kalvas JH, Lang PM, Microchem J., 55, 200 (1997)
Pandya AS, Szabo RR, SPIE, 3390, 197 (1998)
Twu CH, Fluid Phase Equilib., 16, 137 (1984)
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[Related Articles]

[1] Alsberg Bjorn K, Kell Douglas B, Goodacre R, Anal. Chem., 70, 4126 (1992)

[2] Chen G, McAvoy TJ, Piovoso MJ, J. Process Control, 8(2), 139 (1998)

[3] Cooper JB, Wise KL, Groves J, Welch WT, Anal. Chem., 67(22), 4096 (1995)

[4] Chatterjee T, Saraf DN, J. Process Control, 14(1), 61 (2004)

[5] Dave DJ, Dabhiya MZ, Satyadev SVK, Ganguly S, Saraf DN, J. Process Control, 13(3), 267 (2003)

[6] De Bakker CJ, Fredricks PM, Appl. Spectrosc., 49(12), 1766 (1995)

[7] El-Hadi D, Bezziana M, Fuel, 84(5), 611 (2005)

[8] Friedman YZ, Hydrocarb. Process., 73, 97 (1994)

[9] Haswell SJ, Walmsley AD, Anal. Chim. Acta, 400, 399 (1999)

[10] Hwang J, Kim CH, Lim GB, Korean J. Chem. Eng., 12(2), 244 (1995)

[11] Jiang BN, Comput. Meth. Appl. Mech. Eng., 152, 239 (1998)

[12] Kresta J, MacGregor JF, Marlin T, Can. J. Chem. Eng., 69, 35 (1991)

[13] Kumar V, Sharma A, Chowhury IR, Ganguly S, Saraf DN, Fuel Process. Technol., 73, 1 (2001)

[14] Messick NJ, Kalvas JH, Lang PM, Microchem J., 55, 200 (1997)

[15] Pandya AS, Szabo RR, SPIE, 3390, 197 (1998)

[16] Twu CH, Fluid Phase Equilib., 16, 137 (1984)

[17] Zhu Y, van Wijck M, Janssen E, Graaf T, van Aalst K, Kieviet L, “Crude unit identification for MPC using ASYM method,” Proceedings of the American Control Conference, Albuquerque, New Mexico, June (1997)