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Petroleum refinery optimization

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Abstract

In the face of lower margins, stiffer competition, and ever more stringent product and environmental specifications, petroleum refineries have increasingly relied on optimization approaches to maintain their survival and competitive edge. In this paper, we present a comprehensive overview of the current state of the art role of optimization methods in refineries for wide-ranging multiscale applications and activities spanning the traditional planning linear programming to supply chain that extends to outside-the-fence considerations. The paper aims to provide an integrated treatment of techniques and tools, and a survey of representative work in the burgeoning literature of this field with an emphasis on comparisons between industrial practices and academic research.

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(Sources include Aspen Technology 2011b)

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Abbreviations

APC:

Advanced process control

CDU:

Crude distillation unit

DRTO:

Dynamic real-time optimization

EMPC:

Economic model predictive control

FCC:

Fluid catalytic cracking

LP:

Linear programming

MILP:

Mixed-integer linear programming

MINLP:

Mixed-integer nonlinear programming

MPC:

Model predictive control

NLP:

Nonlinear programming

RLT:

Reformulation–linearization technique

RTO:

Real-time optimization

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Authors and Affiliations

  1. Engineering Global Support Office, ExxonMobil Research and Engineering Company, Kuala Lumpur City Centre, 50088, Kuala Lumpur, Malaysia

    Cheng Seong Khor

  2. Aspen Technology, Houston, TX, 77042, USA

    Dimitrios Varvarezos

Authors
  1. Cheng Seong Khor
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  2. Dimitrios Varvarezos
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Correspondence to Cheng Seong Khor.

Appendix

Appendix

See Tables 2, 3, 4, 5, 6, 7, and 8.

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Khor, C.S., Varvarezos, D. Petroleum refinery optimization. Optim Eng 18, 943–989 (2017). https://doi.org/10.1007/s11081-016-9338-x

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