基于灵敏度分析的页岩气净化流程的模拟与优化

doi:10.11949/j.issn.0438-1157.20171442

摘要/Abstract

摘要：

原料气中酸性气体与水等杂质的脱除净化是页岩气下游加工与利用的基础。应用化工流程模拟软件对页岩气脱酸与脱水流程进行模拟，旨为气体净化工业的实践提供理论与技术指导。在脱酸流程模拟中，采用灵敏度分析的方法讨论并优化了吸收剂再生进料位置、再生塔回流比等参数对脱酸流程的影响。脱水流程模拟中，提出了页岩气水含量与水露点的关联方法，为脱水标准的选取提供依据；采用汽提法解决了高浓度吸收剂的再生问题，使流程能够满足更高的脱水要求。

关键词: 页岩气净化, 吸收, 模拟, 优化设计, 灵敏度分析, 汽提法

Abstract:

Removal of acid gases and moisture in raw shale gas is one basic requirement of shale gas downstream processing and utilization. Shale gas sweetening and dehydration process were simulated by software Aspen Plus v8.6 in order to provide theoretical and technical guidance for shale gas purification industry. In sweetening process, sensitivity analysis was used to analyze and optimize process parameters such as feed stage of absorbent regeneration and reflux ratio of regenerator. In dehydration process, correlation method between water content and water dew point of shale gas was proposed which provided a foundation to determine dehydration specification. Moreover, stripping gas was employed to regenerate highly concentrated absorbent and to meet high dehydration requirements for the process.

Key words: shale gas purification, absorption, simulation, optimal design, sensitivity analysis, stripping gas method

中图分类号:

TE644

李伟达, 刘琳琳, 张磊, 王少靖, 都健. 基于灵敏度分析的页岩气净化流程的模拟与优化[J]. 化工学报, 2018, 69(3): 1008-1013.

LI Weida, LIU Linlin, ZHANG Lei, WANG Shaojing, DU Jian. Simulation and optimization of shale gas purification process by sensitivity analysis[J]. CIESC Journal, 2018, 69(3): 1008-1013.

参考文献 30

[1]	U.S. Energy Information Administration. Technically Recoverable Shale Oil and Shale Gas Resources:An Assessment of 137 Shale Formations in 41 Countries Outside the United States[R]. Washington DC:EIA, 2013.
[2]	SⅡROLA J J. The impact of shale gas in the chemical industry[J]. AIChE Journal, 2014, 60(3):810-819.
[3]	HE C, YOU F Q. Shale gas processing integrated with ethylene production:novel process designs, exergy analysis, and techno-economic analysis[J]. Ind. Eng. Chem. Res., 2014, 53(28):11442-11459.
[4]	EHLINGER V M, GABRIEL K J, NOURELDIN M M B, et al. Process design and integration of shale gas to methanol[J]. ACS Sustainable Chemistry & Engineering, 2014, 2(1):30-37.
[5]	MARTIN M, GROSSMANN I E. Optimal use of hybrid feedstock, switchgrass and shale gas for the simultaneous production of hydrogen and liquid fuels[J]. Energy, 2013, 55(1):378-391.
[6]	郑洪昊, 邓春, 冯霄. 高凝析液页岩气处理集成环氧乙烷生产过程建模与模拟[J]. 计算机与应用化学, 2015, 32(11):1383-1388. ZHENG H H, DENG C, FENG X. Modeling and simulation of NGLs-rich shale gas processing integrated with oxirane production[J]. Computers and Applied Chemistry, 2015, 32(11):1383-1388.
[7]	王坤, 陈宏健, 陆争光. 页岩气脱硫模拟分析[J]. 现代化工, 2015, 35(11):156-158. WANG K, CHEN H J, LU Z G. Simulation analysis on shale gas desulfurization process[J]. Modern Chemical Industry, 2015, 35(11):156-158.
[8]	ALCHEIKHHAMDON Y, HOORFAR M. Natural gas purification from acid gases using membranes:a review of the history, features, techno-commercial challenges, and process intensification of commercial membranes[J]. Chemical Engineering and Processing:Process Intensification, 2017, 120:105-113.
[9]	PIEMONTE V, MASCHIETTI M, GIRONI F. A triethylene glycol-water system:a study of the TEG regeneration processes in natural gas dehydration plants[J]. Energy Sources, Part A:Energy, recovery and Environmental Effect, 2012, 34:456-464.
[10]	刘磊. LNG装置中天然气深度净化处理技术研究[D]. 哈尔滨:哈尔滨工业大学, 2010. LIU L. The research of natural gas deep purification technology in LNG plant[D]. Harbin:Harbin Institute of Technology, 2010.
[11]	MOKHATAB S, POE W A, SPEIGHT J G. Handbook of Natural Gas Transmission and Processing[M]. Burlington:Gulf Professional Publishing, 2006:270.
[12]	BAHADORI A, VUTHALURU H. Simple methodology for sizing of absorbers for TEG (triethylene glycol) gas dehydration systems[J]. Energy, 2009, 34(11):1910-1916.
[13]	汪勤, 张冰剑, 何畅, 等. 环丁砜萃取精馏过程模拟分析及工艺参数优化[J]. 化工学报, 2017, 68(5):1969-1976. WANG Q, ZHANG B J, HE C, et al. Process simulation and optimization of sulfolane extractive distillation[J]. CIESC Journal, 2017, 68(5):1969-1976.
[14]	GUTIERREZ J P, BENITEZ L A, RUIZ E L A, et al. A sensitivity analysis and a comparison of two simulators performance for the process of natural gas sweetening[J]. Journal of Natural Gas Science & Engineering, 2016, 31:800-807.
[15]	田禾, 罗祎青, 袁希钢. C3选择性加氢能量耦合催化精馏结构与分析[J]. 化工学报, 2014, 65(1):244-250. TIAN H, LUO Y Q, YUAN X G. Configuration and analysis of thermally coupled catalytic distillation for C3 alkyne selective hydrogenation[J]. CIESC Journal, 2014, 65(1):244-250.
[16]	薛勇勇, 刘阳, 刘琳琳, 等. 基于层次分析法优化天然气净化工艺[J]. 化工进展, 2016, 35(5):1298-1302. XUE Y Y, LIU Y, LIU L L, et al. Optimization of purification process for natural gas using analytic hierarchy process[J]. Chemical Industry and Engineering Progress, 2016, 35(5):1298-1302.
[17]	孙兰义. 化工流程模拟实训——Aspen Plus教程[M]. 北京:化学工业出版社, 2012:163. SUN L Y. Chemical Engineering Process Simulation using Aspen Plus[M]. Beijing:Chemical Industry Press, 2012:163.
[18]	石东坡. 甲醇双塔精馏流程的模拟与分析[J]. 广州化工, 2009, 37(5):202-204. SHI D P. Simulation analysis of two towers flow in methanol distillation process[J]. Guangzhou Chemical Industry, 2009, 37(5):202-204.
[19]	MANNINA G, COSENZA A, EKAMA G A. Greenhouse gases from membrane bioreactors:mathematical modelling, sensitivity and uncertainty analysis[J]. Bioresource Technology, 2017, 239:353-367.
[20]	孙伟娜, 阎海宇, 张东辉. 真空变压吸附分离氮气甲烷流程灵敏度分析与优化[J]. 化工学报, 2016, 67(2):598-605. SUN W N, YAN H Y, ZHANG D H. Sensitivity analysis and optimization of vacuum pressure swing adsorption process for N2/CH4 separation[J]. CIESC Journal, 2016, 67(2):598-605.
[21]	ZHENG N B, LIU P, LIU Z C, et al. Numerical simulation and sensitivity analysis of heat transfer enhancement in a flat heat exchanger tube with discrete inclined ribs[J]. International Journal of Heat and Mass Transfer, 2017, 112:509-520.
[22]	李梅, 程逵炜, 孙兆虎, 等. 井口天然气醇胺法脱酸系统的模拟优化[J]. 工程热物理学报, 2015, 36(9):1853-1857. LI M, CHENG K W, SUN Z H, et al. Optimization of the miniature wellhead natural gas alkanolamine process deacidfication units[J]. Journal of Engineering Thermophysics, 2015, 36(9):1853-1857.
[23]	SULEIMAN B, ABDULKAREEM A S, ABDULSALAM Y O, et al. Thermo-economic analysis of natural gas treatment process using triethanolamine (TEA) and diethanolamine (DEA) as gas sweeteners[J]. Journal of Natural Gas Science & Engineering, 2016, 36:184-201.
[24]	AFFANDY S A, HANDOGO R, SUTIKNO J P, et al. Design of natural gas dehydration unit using TEG (Triethylene glycol)[C]//SHINJI H, MASAHIKO H. 7th International Symposium on Design, Operation and Control of Chemical Process. Tokyo, Japan:The University of Tokyo, 2016:129.
[25]	GUPTA S B. Natural Gas-Extraction to End Use[M]. Rijeka:InTech Prepress, 2012:4.
[26]	Gas Processors Suppliers Association. GPSA Engineering Data Book[M]. 12th ed. Tulsa:Gas Processors Suppliers Association, 2004:1-7.
[27]	GANDHIDASAN P. Parametric analysis of natural gas dehydration by a triethylene glycol solution[J]. Energy Sources, 2003, 25(3):189-201.
[28]	KARDANI M N, BAGHBAN A. Utilization of LSSVM strategy to predict water content of sweet natural gas[J]. Petroleum Science and Technology, 2017, 35(8):761-767.
[29]	中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 天然气水含量与水露点之间的换算:GB/T 22634-2008[S]. 北京:中国标准出版社, 2008. General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. Conversion between water content and water dew point of natural gas[S]. Beijing:Standards Press of China, 2008.
[30]	HUBBARD R A, CAMPBELL J M. An appraisal of gas dehydration processes[J]. Hydrocarbon Engineer, 2000, 5:71-74.