在天然气生产工厂中使用废物减少算法开发可持续过程的流程图监控

R. R. Santana, J. S. Nunes, I. Pergher, L. Silva, R. V. S. Aquino
{"title":"在天然气生产工厂中使用废物减少算法开发可持续过程的流程图监控","authors":"R. R. Santana, J. S. Nunes, I. Pergher, L. Silva, R. V. S. Aquino","doi":"10.5419/bjpg2021-0003","DOIUrl":null,"url":null,"abstract":"This paper presents a flowchart monitoring study to be used on investigating conditions that can promote environmental impact. The study relies on a computational simulation of the natural gas separation process, using COCO modeling software and communication of the WAR algorithm. The WAR algorithm is a methodology used to analyze the potential environmental impact (PEI) of a chemical process, and to study the environmental compatibility of this process. The WAR algorithm proved efficient and effective when accessing the CCO currents to obtain pressure and temperature parameters of each equipment used in the modeling and simulation of the plant. The results indicate the need for optimization requiring further research on ways to reduce the impact generated by the terrestrial toxicity potential, the toxicity potential for man, and the photochemical oxidation potential, which presented higher PEI generated in the process.","PeriodicalId":9312,"journal":{"name":"Brazilian Journal of Petroleum and Gas","volume":"64 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FLOWCHART MONITORING FOR THE DEVELOPMENT OF SUSTAINABLE PROCESSES USING THE WASTE REDUCTION ALGORITHM IN A NATURAL GAS PRODUCTION PLANT\",\"authors\":\"R. R. Santana, J. S. Nunes, I. Pergher, L. Silva, R. V. S. Aquino\",\"doi\":\"10.5419/bjpg2021-0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a flowchart monitoring study to be used on investigating conditions that can promote environmental impact. The study relies on a computational simulation of the natural gas separation process, using COCO modeling software and communication of the WAR algorithm. The WAR algorithm is a methodology used to analyze the potential environmental impact (PEI) of a chemical process, and to study the environmental compatibility of this process. The WAR algorithm proved efficient and effective when accessing the CCO currents to obtain pressure and temperature parameters of each equipment used in the modeling and simulation of the plant. The results indicate the need for optimization requiring further research on ways to reduce the impact generated by the terrestrial toxicity potential, the toxicity potential for man, and the photochemical oxidation potential, which presented higher PEI generated in the process.\",\"PeriodicalId\":9312,\"journal\":{\"name\":\"Brazilian Journal of Petroleum and Gas\",\"volume\":\"64 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Journal of Petroleum and Gas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5419/bjpg2021-0003\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Journal of Petroleum and Gas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5419/bjpg2021-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种用于调查可促进环境影响的条件的流程图监测研究。该研究依赖于天然气分离过程的计算模拟,使用COCO建模软件和WAR算法的通信。WAR算法是一种用于分析化学过程的潜在环境影响(PEI)并研究该过程的环境相容性的方法。事实证明,WAR算法在获取CCO电流以获得用于工厂建模和仿真的各设备的压力和温度参数时是高效有效的。结果表明,需要进一步优化研究如何降低陆地毒性电位、人体毒性电位和光化学氧化电位的影响,在此过程中产生较高的PEI。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
FLOWCHART MONITORING FOR THE DEVELOPMENT OF SUSTAINABLE PROCESSES USING THE WASTE REDUCTION ALGORITHM IN A NATURAL GAS PRODUCTION PLANT
This paper presents a flowchart monitoring study to be used on investigating conditions that can promote environmental impact. The study relies on a computational simulation of the natural gas separation process, using COCO modeling software and communication of the WAR algorithm. The WAR algorithm is a methodology used to analyze the potential environmental impact (PEI) of a chemical process, and to study the environmental compatibility of this process. The WAR algorithm proved efficient and effective when accessing the CCO currents to obtain pressure and temperature parameters of each equipment used in the modeling and simulation of the plant. The results indicate the need for optimization requiring further research on ways to reduce the impact generated by the terrestrial toxicity potential, the toxicity potential for man, and the photochemical oxidation potential, which presented higher PEI generated in the process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
IMMISCIBLE VISCOUS FINGERING MODELING OF TERTIARY POLYMER FLOODING BASED ON REAL CASE OF HEAVY OIL RESERVOIR MODEL SYNTHETIC WATER-IN-OIL EMULSIONS: EFFECT OF OIL COMPOSITION ON STABILITY AND DEMULSIFIER PERFORMANCE WELL-TO-WELL (W2W) ELECTROMAGNETIC TOMOGRAPHY MODELING ADVANCEMENT: IMPROVING PRECISION AND EFFECTIVENESS WITH REGULARIZATION SCALE INHIBITOR SQUEEZE TREATMENT: AN ADVANCED BIBLIOMETRIC ANALYSIS REACTIVE FLOW IN CARBONATE ROCKS FROM LACUSTRINE ENVIRONMENTS: THE EFFECTS OF PRESSURE AND FLUID SALINITY
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1