Determination of Adsorption-Retention Constants and Inaccessible Pore Volume for High-Molecular Polymers

K. Fedorov, T. Pospelova, A. V. Kobyashev, A. Gilmanov, T. N. Kovalchuk, A. Shevelev
{"title":"Determination of Adsorption-Retention Constants and Inaccessible Pore Volume for High-Molecular Polymers","authors":"K. Fedorov, T. Pospelova, A. V. Kobyashev, A. Gilmanov, T. N. Kovalchuk, A. Shevelev","doi":"10.2118/206428-ms","DOIUrl":null,"url":null,"abstract":"\n The application of chemical enhanced oil recovery methods is based mainly on data from experiments. Determining the adsorption constants without destroying the sample remains a relevant problem. It is necessary for accurate data. The determination of filtration parameters of high-molecular polymers in a porous medium using special model is considered in this paper. The aim of the investigation is the solution of inverse problem of polymer transport with adsorption. The key data for this are the characteristic times of the polymer front propagation, water and rock densities, porosity, and initial polymer concentration. The solutions of the direct problem and the inverse problem from the characteristic form of equations are obtained. The algorithm of interpretation of adsorption-retention parameters and inaccessible pore volume form non-destructive experimental studies is developed. Comparison of the calculated values of the inaccessible pore volume with the results of laboratory studies leads to an error within 10%. The practical application of the algorithm was carried out using the data obtained in previously conducted experiments.","PeriodicalId":10970,"journal":{"name":"Day 1 Tue, October 12, 2021","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Tue, October 12, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/206428-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The application of chemical enhanced oil recovery methods is based mainly on data from experiments. Determining the adsorption constants without destroying the sample remains a relevant problem. It is necessary for accurate data. The determination of filtration parameters of high-molecular polymers in a porous medium using special model is considered in this paper. The aim of the investigation is the solution of inverse problem of polymer transport with adsorption. The key data for this are the characteristic times of the polymer front propagation, water and rock densities, porosity, and initial polymer concentration. The solutions of the direct problem and the inverse problem from the characteristic form of equations are obtained. The algorithm of interpretation of adsorption-retention parameters and inaccessible pore volume form non-destructive experimental studies is developed. Comparison of the calculated values of the inaccessible pore volume with the results of laboratory studies leads to an error within 10%. The practical application of the algorithm was carried out using the data obtained in previously conducted experiments.
高分子聚合物吸附-保持常数和不可达孔体积的测定
化学提高采油方法的应用主要基于实验数据。在不破坏样品的情况下确定吸附常数仍然是一个相关的问题。准确的数据是必要的。本文考虑用特殊模型确定多孔介质中高分子聚合物的过滤参数。研究的目的是求解聚合物吸附输运的反问题。关键数据是聚合物前缘扩展的特征时间、水和岩石密度、孔隙度和初始聚合物浓度。由方程的特征形式得到了正问题和反问题的解。提出了吸附-保留参数的解释算法和不可达孔体积的无损实验研究。可达孔隙体积计算值与实验室研究结果的比较误差在10%以内。该算法的实际应用是利用之前的实验数据进行的。
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