Please use this identifier to cite or link to this item: https://doi.org/10.1002/aic.10112
Title: Novel solution approach for optimizing crude oil operations
Authors: Reddy, P.C.P.
Karimi, I.A. 
Srinivasan, R. 
Keywords: Crude oil
Jetty
Refinery
Scheduling
Single buoy mooring
Issue Date: Jun-2004
Source: Reddy, P.C.P., Karimi, I.A., Srinivasan, R. (2004-06). Novel solution approach for optimizing crude oil operations. AIChE Journal 50 (6) : 1177-1197. ScholarBank@NUS Repository. https://doi.org/10.1002/aic.10112
Abstract: Scheduling of crude oil operations is a complex nonlinear problem, especially when tanks hold crude mixes. We present a new mixed-integer nonlinear programming (MINLP) formulation and a novel, mixed-integer linear programming (MILP)-based solution approach for optimizing crude oil unloading, storage, and processing operations in a multi-CDU (crude distillation unit) refinery receiving crude from multiparcel VLCCs (very large crude carriers) through a high-volume, single-buoy mooring (SBM) pipeline and/or single-parcel tankers through multiple jetties. Mimicking a continuous-time formulation, our primarily discrete-time model allows multiple sequential crude transfers to occur within a time slot. It incorporates several real-life operational features including brine settling and tank-to-tank transfers, and is superior to other reported models. Notably our algorithm avoids concentration discrepancy and MINLP solutions by identifying a part of the horizon, for which its linear relaxation is exact, and then solving this MILP repeatedly with progressively shorter horizons. By using 8 h time slots and a hybrid time representation, an attractive approach to this difficult problem is presented. © 2004 American Institute of Chemical Engineers.
Source Title: AIChE Journal
URI: http://scholarbank.nus.edu.sg/handle/10635/64313
ISSN: 00011541
DOI: 10.1002/aic.10112
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