自然资源学报 ›› 2020, Vol. 35 ›› Issue (11): 2770-2782.doi: 10.31497/zrzyxb.20201116

• 区域能源地理 • 上一篇    下一篇

中石化江苏成品油一次配送空间格局与优化

杨足膺1(), 赵媛2,3,4(), 周昊5, 潘家清6, 崔金山7   

  1. 1.常州大学商学院,常州 213100
    2.南京师范大学地理科学学院,南京 210023
    3.南京师范大学金陵女子学院,南京 210097
    4.江苏省地理信息资源开发与利用协同创新中心,南京 210023
    5.常州大学石油工程学院,常州 213164
    6.中国石化审计局南京分局,南京 210003
    7.中国石化管道储运有限公司,徐州 221008
  • 收稿日期:2020-01-15 修回日期:2020-06-19 出版日期:2020-11-28 发布日期:2021-01-28
  • 通讯作者: 赵媛 E-mail:yangzuying1985@163.com;zhaoyuan@njnu.edu.cn
  • 作者简介:杨足膺(1985- ),男,江苏盐城人,博士,讲师,研究方向为能源地理与区域可持续发展。E-mail: yangzuying1985@163.com
  • 基金资助:
    国家自然科学基金项目(41801194);国家自然科学基金项目(41971248);江苏省高校人文社科项目(2017SJB1781)

Spatial flow pattern and optimization of Sinopec's first distribution of refined oil of Jiangsu province

YANG Zu-ying1(), ZHAO Yuan2,3,4(), ZHOU Hao5, PAN Jia-qing6, CUI Jin-shan7   

  1. 1. Business School, Changzhou University, Changzhou 213100, Jiangsu, China
    2. School of Geographic Science, Nanjing Normal University, Nanjing 210023, China
    3. Jinling College, Nanjing Normal University, Nanjing 210097, China
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    5. School of Petroleum Engineering, Changzhou University, Changzhou 213164, Jiangsu, China
    6. Nanjing Branch of Sinopec Audit Bureau, Nanjing 210003, China
    7. Storage and Transportation Company of Sinopec Group, Xuzhou 221008, Jiangsu, China
  • Received:2020-01-15 Revised:2020-06-19 Online:2020-11-28 Published:2021-01-28
  • Contact: Yuan ZHAO E-mail:yangzuying1985@163.com;zhaoyuan@njnu.edu.cn

摘要:

基于详实准确的政府及企业调研数据,以中石化江苏成品油一次配送为例,从配置效益和空间结构视角出发,借助运用地理网络分析和线性优化模型等方法,通过单位输油成本计算、优化情景构建计算和成品油配送格局比较分析,系统解析成品油一次配送空间格局与优化配置情况,从理论上尝试探讨其地理网络结构。研究发现:优化情境下的成本较2017年实际状况减少了30%左右,表明中石化江苏成品油一次配送效益不够优化;理论上,根据成品油“就近配置”原则,不同炼油企业各自在其优化情景区界内,配送单位输油成本较低的成品油;实际上,由于炼油企业的炼油能力差异、成品油输油通道不完善和分销中心油库设置差异等原因,不同炼油企业之间存在着相较优化情景区界或大或小的实际输油区界,且存在着某些分销中心油库同时接纳不同炼油企业成品油的现象,即存在混合输油区域。

关键词: 成品油一次配送, 地理网络, 空间格局, 优化

Abstract:

Based on detailed and accurate statistical data of the government and enterprises, this paper studied the spatial flow pattern and optimization of Sinopec's first distribution of refined oil of Jiangsu province. In this study, we used the methods of Geographical Network Analysis and Linear Programming to calculate the unit oil transportation cost, combined with the optimized scenario construction and the comparative analysis of distribution pattern of refined oil. Then, we systematically analyzed the spatial flow pattern and optimized configuration of first distribution of refined oil, and attempted to explore its geographical network structure in theory, in the perspectives of allocation benefits and spatial structure. The results show that: (1) The cost under the optimization scenario is reduced by about 30% compared with the actual situation in 2017, indicating that the primary distribution benefit of Sinopec Jiangsu refined oil is not fully optimized. (2) Theoretically, according to the principle of "nearby allocation" of refined oil, different refining enterprises distribute the refined oil with lower unit oil transportation cost within their respective optimization scenario boundaries. (3) In fact, due to the differences in refining capacity of refineries, imperfect product oil transportation channels and different distribution center oil depots, there are relatively optimized scenario boundaries or large or small actual oil transportation boundaries between different refineries, and there are some distribution center oil depots (mixed oil transportation regions) that simultaneously accept the product oil of different refineries. We hope to further reveal the basic laws of spatial flow of refined oil, and provide decision-making advice from the field of economic geography for the current national market-oriented reform of refined oil and the preparation of national pipeline company.

Key words: first distribution of refined oil, geographical network, spatial pattern, optimization