Research progress of crude oil storage and transportation scheduling modeling in refineries
Hongbin Mou
Sinopec Research Institute of Petroleum Processing Co., Ltd.
DOI: https://doi.org/10.59429/esta.v12i2.10565
Keywords: Crude oil scheduling; Segmentation modeling; Modeling methods; Business scenarios
Abstract
Production scheduling in refining enterprises serves as a crucial link connecting planning and operation. Current research mainly focuses on small-scale crude oil scheduling problems with a scheduling cycle of 7 - 10 days and 3 or 4 scheduling links. However, there is a relative scarcity of research on largescale scheduling problems involving more than 5 storage and transportation links and a long cycle (≥30 days). Aiming at the difficulties in global modeling under the trend of refining-chemical integration, this paper points out the rationality of modeling complex processes from a spatial segmentation perspective. It also analyzes the characteristics of modeling methods such as mathematical programming, constraint programming, genetic algorithm, and reinforcement learning, clarifying the application advantages of mathematical programming in maturity, constraint programming in logical processing, genetic algorithm in multi-objective optimization, and reinforcement learning in potential. The importance of spatial segmentation modeling and the integration of multiple methods in constructing a suitable-scale scheduling model is revealed. The research results provide assistance for schedulers in selecting appropriate methods and constructing scheduling models that conform to actual working conditions.
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