Refining scheduling of crude oil unloading, storing, and processing considering production level cost
Document Type
Article
Publication Date
1-1-2010
Abstract
This paper presents an integrated optimization approach for crude operations scheduling and production for refineries. The production process is composed of a prefractionator, 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 0.53 M$ decrease in production and logistics costs in a 15 day time horizon. © 2010 Elsevier B.V. All rights reserved.
Publication Source (Journal or Book title)
Computer Aided Chemical Engineering
First Page
1159
Last Page
1164
Recommended Citation
Robertsona, G., Palazoglu, A., & Romagnolia, J. (2010). Refining scheduling of crude oil unloading, storing, and processing considering production level cost. Computer Aided Chemical Engineering, 28 (C), 1159-1164. https://doi.org/10.1016/S1570-7946(10)28194-4