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南堡联合站轻烃回收工艺参数优化研究
引用本文:吴松,高城,申权,李东升,崔军峰,雷洋,冷南江.南堡联合站轻烃回收工艺参数优化研究[J].石油与天然气化工,2022,51(3):56-64.
作者姓名:吴松  高城  申权  李东升  崔军峰  雷洋  冷南江
作者单位:中国石油冀东油田分公司油气集输公司;油气藏地质及开发工程国家重点实验室·西南石油大学
摘    要:目的提高南堡联合站天然气轻烃回收率,降低生产能耗。 方法基于HYSYS模拟软件建立模型,分别对天然气轻烃回收工艺的增压单元、冷冻分离单元、轻烃分馏单元等关键参数进行单因素分析。 得出各单因素的取值范围;依据各单因素的取值范围,以系统回收装置最小比功耗为目标函数,利用响应面分析法对参数进行优化,确定多因素关键参数的最佳组合。 结果优化后的流程比实际生产丙烷收率提升了5.62%,液化气产量提升了3.53%,产品比功耗减少了0.91%,装置总能耗降低了2.46%。结论响应面分析法用于天然气轻烃回收的各参数优化,提高了丙烷收率,降低了装置能耗,具有很好的经济性和应用前景。 

关 键 词:轻烃回收  关键参数  响应面分析法  比功耗  多因素优化
收稿时间:2021/9/8 0:00:00

Optimization of light hydrocarbon recovery process parameters in Nanpu combined station
Wu Song,Gao Cheng,Shen Quan,Li Dongsheng,Cui Junfeng,Lei Yang,Leng Nanjiang.Optimization of light hydrocarbon recovery process parameters in Nanpu combined station[J].Chemical Engineering of Oil and Gas,2022,51(3):56-64.
Authors:Wu Song  Gao Cheng  Shen Quan  Li Dongsheng  Cui Junfeng  Lei Yang  Leng Nanjiang
Affiliation:Oil and Gas Gathering and Transportation Company of Jidong Oilfield Branch of CNPC, Tangshan, Hebei, China;State Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan, China
Abstract:ObjectiveImprove the recovery rate of natural gas light hydrocarbon and reduce production energy consumption in Nanpu combined station. Methods A model is established based on HYSYS simulation software. The key parameters such as pressurization unit, refrigeration separation unit and light hydrocarbon fractionation unit of light hydrocarbon recovery process are analyzed by single factor, and the value range of each single-factor is obtained. According to the value range of each single factor, the response surface analysis method is used to optimize the parameters with the minimum specific power consumption of the system recovery unit as the objective function, and determine the best combination of multi-factor key parameters. ResultsCompared with the actual production, the optimized process increases the propane yield by 5.62%, the liquefied gas yield by 3.53%, the product specific power consumption is reduced by 0.91%, and the total energy consumption of the light hydrocarbon recovery unit is reduced by 2.46%. ConclusionsThe response surface analysis method is used for multi-parameter optimization of natural gas light hydrocarbon recovery, which improves the propane yield and reduces the energy consumption of the unit, and has good economy and application prospect.
Keywords:light hydrocarbon recovery  key parameters  response surface analysis method  specific power consumption  multi-factor optimization
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