Abstract:

The collaborative optimization of the supply chain of refining and chemical plant is crucial to the realization of intelligent refineries. The planning optimization system is the core system for the realization of collaborative optimization of the supply chain. This article introduces in detail the overall framework and main functions of the new generation of planning optimization software which independently developed by the PetroChina Planning and Engineering Institute. On the basis of this platform, combined with the boundary conditions of the refining and chemical integration enterprise process data, crude oil database and product sales, the design and construction of the refining and chemical integration model are carried out. Based on the principle of linear programming, the model is used to carry out various optimization analyses. Through marginal benefit analysis and multi-scenario comparative analysis, combined with different crude oil purchase methods such as the crude oil cost-preservation method, cost reduction method, and equivalent substitution method, the crude oil purchase calculation and application analysis were carried out, and the integration of refining and chemical plant was carried out. Processing crude oil put forward relevant suggestions to guide enterprises to purchase crude oil.

Key words: intelligent plant, refining and chemical integration, production, optimization, algorithm, crude oil purchase

摘要：

炼化企业供应链协同优化对实现智能炼厂至关重要，计划优化系统是供应链协同优化实现的核心系统。本文详细介绍了规划总院自主研发的新一代计划优化软件整体框架及主要功能，在该平台基础上结合炼化一体化企业流程数据、原油数据库及产品销售等边界条件进行了炼化一体化模型设计及建设，用于开展各类优化分析，并基于线性规划原理，通过边际效益分析及多方案对比分析，结合原油保本价法、缩减成本法及等量替代法等不同的原油选购方法，开展了原油选购测算及应用分析，并对炼化一体化企业加工原油提出了相关建议，指导企业原油选购。

关键词: 智能化工厂, 炼化一体化, 生产, 优化, 算法, 原油选购