A Comparative Study of the Cubic-Plus-Association Equation of State and a Peng-Robinson Equation of State–Based Solid Model for Asphaltene Simulation in the Wellbore

F. Coelho, R. Okuno, K. Sepehrnoori, O. Ezekoye
{"title":"A Comparative Study of the Cubic-Plus-Association Equation of State and a Peng-Robinson Equation of State–Based Solid Model for Asphaltene Simulation in the Wellbore","authors":"F. Coelho, R. Okuno, K. Sepehrnoori, O. Ezekoye","doi":"10.2118/212293-pa","DOIUrl":null,"url":null,"abstract":"\n Asphaltene is one of the main flow-assurance concerns in oil production. Its precipitation and further deposition along the flow path (wellbore or reservoir) can cause reduced hydrocarbon flow rates and even a total blockage. These potential damages have caused a growing interest in computationally efficient methods to predict asphaltene precipitation, depending on flow conditions.\n This paper presents two different approaches: (i) a model from Li and Firoozabadi (2010), using a simplified version of the cubic-plus-association equation of state (CPA EOS), and (ii) a version of a solid model based on the Peng-Robinson (PR) EOS, with no association term. The two approaches are compared in isolated flash calculations and wellbore flow simulations with asphaltene deposition. The comparisons are made using the same fluid parameters for both approaches as much as possible.\n Results show that, if provided with adequate input data, the solid model can consistently match results from the more complex CPA model quite successfully for several fluid compositions. An attempt is made to explain the “success” of the solid model in reproducing CPA model results. The solid model cannot adjust to fluid-composition changes in a manner similar to that of CPA. Therefore, the solid model seems more suitable for wellbore than reservoir simulation, which tends to involve a higher level of fluid mixing. However, the efficiency of the solid model can reduce the computational time by a factor of 2 in comparison with CPA.","PeriodicalId":153181,"journal":{"name":"SPE Production & Operations","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SPE Production & Operations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/212293-pa","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Asphaltene is one of the main flow-assurance concerns in oil production. Its precipitation and further deposition along the flow path (wellbore or reservoir) can cause reduced hydrocarbon flow rates and even a total blockage. These potential damages have caused a growing interest in computationally efficient methods to predict asphaltene precipitation, depending on flow conditions. This paper presents two different approaches: (i) a model from Li and Firoozabadi (2010), using a simplified version of the cubic-plus-association equation of state (CPA EOS), and (ii) a version of a solid model based on the Peng-Robinson (PR) EOS, with no association term. The two approaches are compared in isolated flash calculations and wellbore flow simulations with asphaltene deposition. The comparisons are made using the same fluid parameters for both approaches as much as possible. Results show that, if provided with adequate input data, the solid model can consistently match results from the more complex CPA model quite successfully for several fluid compositions. An attempt is made to explain the “success” of the solid model in reproducing CPA model results. The solid model cannot adjust to fluid-composition changes in a manner similar to that of CPA. Therefore, the solid model seems more suitable for wellbore than reservoir simulation, which tends to involve a higher level of fluid mixing. However, the efficiency of the solid model can reduce the computational time by a factor of 2 in comparison with CPA.
基于状态的固体模型中3 - +关联状态方程与Peng-Robinson状态方程在沥青质井筒模拟中的比较研究
沥青质是石油生产中主要的流动保证问题之一。其沿流道(井筒或储层)的沉淀和进一步沉积会导致油气流速降低,甚至完全堵塞。这些潜在的损害引起了人们对根据流动条件预测沥青质沉淀的高效计算方法的兴趣。本文提出了两种不同的方法:(i) Li和Firoozabadi(2010)的模型,使用简化版的立方+关联状态方程(CPA EOS),以及(ii)基于Peng-Robinson (PR) EOS的实体模型版本,没有关联项。在分离闪速计算和含沥青质沉积的井筒流动模拟中对这两种方法进行了比较。两种方法尽可能使用相同的流体参数进行比较。结果表明,如果提供足够的输入数据,实体模型可以非常成功地匹配更复杂的CPA模型的结果。试图解释实体模型在再现CPA模型结果方面的“成功”。实体模型不能像CPA模型那样适应流体成分的变化。因此,固体模型似乎比油藏模拟更适合井筒,后者往往涉及更高水平的流体混合。然而,与CPA相比,实体模型的效率可以将计算时间减少2倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信