A multi-level simulation approach for the crude oil loading/unloading scheduling problem

Document Type

Conference Proceeding

Publication Date

8-10-2010

Abstract

This paper presents an integrated optimization approach for crude operations scheduling and production for refineries. The production process is composed of a pre-fractionator, crude, and vacuum distillation columns. It is modeled as an NLP. The scheduling problem is composed of unloading operations and simultaneous blending and charging of CDUs. It is modeled as a MILP. The nonlinear simulation model for the production process is used to derive individual crude costs for the two crudes considered (Dubai and Masila). This is performed using multiple linear regressions of the individual crude oil flow rates around the crude oil percentage range allowed by the production facility. These individual crude costs are then used to derive a linear cost function that is optimized in the MILP scheduling model, along with logistics costs. Results show that this integrated approach can lead to a cost function in the crude scheduling problem capable of including production level cost.

Publication Source (Journal or Book title)

AIChE Annual Meeting, Conference Proceedings

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