Use of Dynamic Pore Network Modeling to Improve Our Understanding of Experimental Observations in Viscous Oil Displacement by Polymers

I. C. Salmo, N. Zamani, T. Skauge, K. Sorbie, A. Skauge
{"title":"Use of Dynamic Pore Network Modeling to Improve Our Understanding of Experimental Observations in Viscous Oil Displacement by Polymers","authors":"I. C. Salmo, N. Zamani, T. Skauge, K. Sorbie, A. Skauge","doi":"10.2118/200387-ms","DOIUrl":null,"url":null,"abstract":"\n Any aqueous solution viscosified by a polymer (or glycerol) should improve the recovery of a very viscous oil to some degree, but it has long been thought that the detailed rheology of the solution would not play a major role. However, recent heavy oil displacement experiments have shown that there are clear differences in incremental oil recovery between aqueous polymeric or Newtonian solutions viscosified to the same effective viscosity. For example, synthetic polymers (such as HPAM) recover more oil than biopolymers (such as xanthan) at the same effective viscosity. In this paper, we use dynamic pore scale network modeling to model and explain these experimental results.\n A previously published dynamic pore scale network model (DPNM) which can model imbibition, has been extended to include polymer displacements, where the polymer may have any desired rheological properties. Using this model, we compare viscous oil displacement by water (Newtonian) with polymer injection where the \"polymer\" may be Newtonian (e.g. glycerol solution), or purely shear-thinning (e.g. xanthan) or it may show combined shear thinning and thickening behaviour (e.g. HPAM). In the original experiments, the polymer concentrations were adjusted such that the in situ viscosities of each solution were comparable at the expected in situ average shear rates (see Vik et al, 2018). The rheological properties of the injected \"polymer\" solutions in the dynamic pore network model (DPNM), were also chosen such that they had the same effective viscosity at a given injection rate, in single phase aqueous flow in the network model.\n Secondary mode injections of HPAM, xanthan and glycerol (Newtonian) showed significant differences in recovery efficiency and displacement, both experimentally and numerically. All polymers increased the oil production compared to water injection. However, the more complex shear thinning/thickening polymer (HPAM) recovered most oil, while the shear-thinning xanthan produced the lowest oil recovery, and the recovery by glycerol (Newtonian) was in the middle. In accordance with experimental results, at adverse mobility ratio, the DPNM results also showed that the combined shear- thinning/thickening (HPAM) polymer improves oil recovery the most, and the shear-thinning polymer (xanthan) shows the least incremental oil recovery with the Newtonian polymer (glycerol) recovery being in the middle; i.e. excellent qualitative agreement with the experimental observations was found.\n The DPNM simulations for the shear-thinning/thickening polymer show that in this case there is better front stability and increased oil mobilization at the pore level, thus leaving less oil behind. Simulations for the shear-thinning polymer show that in faster flowing bonds the average viscosity is greatly reduced and this causes enhanced water fingering compared with the Newtonian polymer (glycerol) case. The DPNM also allows us to explore phenomena such as piston-like displacements, snap-off and film flow, which at the pore level may have impact on the overall efficiency of the various fluid injection schemes. The DPNM models the effect of polymer rheology which changes the balance between the viscous/capillary forces that allows fluid microscopic diversion, and hence improved incremental recovery, to emerge.","PeriodicalId":251499,"journal":{"name":"Day 2 Tue, September 01, 2020","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, September 01, 2020","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/200387-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Any aqueous solution viscosified by a polymer (or glycerol) should improve the recovery of a very viscous oil to some degree, but it has long been thought that the detailed rheology of the solution would not play a major role. However, recent heavy oil displacement experiments have shown that there are clear differences in incremental oil recovery between aqueous polymeric or Newtonian solutions viscosified to the same effective viscosity. For example, synthetic polymers (such as HPAM) recover more oil than biopolymers (such as xanthan) at the same effective viscosity. In this paper, we use dynamic pore scale network modeling to model and explain these experimental results. A previously published dynamic pore scale network model (DPNM) which can model imbibition, has been extended to include polymer displacements, where the polymer may have any desired rheological properties. Using this model, we compare viscous oil displacement by water (Newtonian) with polymer injection where the "polymer" may be Newtonian (e.g. glycerol solution), or purely shear-thinning (e.g. xanthan) or it may show combined shear thinning and thickening behaviour (e.g. HPAM). In the original experiments, the polymer concentrations were adjusted such that the in situ viscosities of each solution were comparable at the expected in situ average shear rates (see Vik et al, 2018). The rheological properties of the injected "polymer" solutions in the dynamic pore network model (DPNM), were also chosen such that they had the same effective viscosity at a given injection rate, in single phase aqueous flow in the network model. Secondary mode injections of HPAM, xanthan and glycerol (Newtonian) showed significant differences in recovery efficiency and displacement, both experimentally and numerically. All polymers increased the oil production compared to water injection. However, the more complex shear thinning/thickening polymer (HPAM) recovered most oil, while the shear-thinning xanthan produced the lowest oil recovery, and the recovery by glycerol (Newtonian) was in the middle. In accordance with experimental results, at adverse mobility ratio, the DPNM results also showed that the combined shear- thinning/thickening (HPAM) polymer improves oil recovery the most, and the shear-thinning polymer (xanthan) shows the least incremental oil recovery with the Newtonian polymer (glycerol) recovery being in the middle; i.e. excellent qualitative agreement with the experimental observations was found. The DPNM simulations for the shear-thinning/thickening polymer show that in this case there is better front stability and increased oil mobilization at the pore level, thus leaving less oil behind. Simulations for the shear-thinning polymer show that in faster flowing bonds the average viscosity is greatly reduced and this causes enhanced water fingering compared with the Newtonian polymer (glycerol) case. The DPNM also allows us to explore phenomena such as piston-like displacements, snap-off and film flow, which at the pore level may have impact on the overall efficiency of the various fluid injection schemes. The DPNM models the effect of polymer rheology which changes the balance between the viscous/capillary forces that allows fluid microscopic diversion, and hence improved incremental recovery, to emerge.
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
利用动态孔隙网络模型提高对聚合物驱稠油实验结果的理解
任何被聚合物(或甘油)增粘的水溶液都应该在一定程度上提高高粘度油的采收率,但长期以来人们一直认为,溶液的详细流变性不会起主要作用。然而,最近的稠油驱替实验表明,在相同的有效粘度下,水性聚合物溶液和牛顿溶液在增油采收率方面存在明显差异。例如,在相同的有效粘度下,合成聚合物(如HPAM)比生物聚合物(如黄原胶)回收更多的油。在本文中,我们使用动态孔隙尺度网络模型来模拟和解释这些实验结果。先前发布的动态孔隙尺度网络模型(DPNM)可以模拟渗吸,现已扩展到包括聚合物驱,其中聚合物可能具有任何所需的流变性能。使用该模型,我们比较了水驱(牛顿驱)和聚合物注入的稠油,其中“聚合物”可能是牛顿驱(例如甘油溶液),或者纯粹的剪切稀释(例如黄原胶),或者它可能显示剪切稀释和增稠的组合行为(例如HPAM)。在最初的实验中,调整了聚合物浓度,使每种溶液的原位粘度与预期的原位平均剪切速率相当(见Vik et al, 2018)。在动态孔隙网络模型(DPNM)中,注入的“聚合物”溶液的流变特性也被选择为在给定的注入速率下,在网络模型的单相水流动中具有相同的有效粘度。二次模式注射HPAM、黄原胶和甘油(牛顿)的采收率和驱替效果在实验和数值上都有显著差异。与注水相比,所有聚合物都提高了产油量。然而,更复杂的剪切减薄/增稠聚合物(HPAM)采收率最高,而剪切减薄黄原胶的采收率最低,甘油(牛顿)的采收率居中。与实验结果一致,在不利迁移率下,DPNM实验结果还表明,剪切减薄/增稠复合聚合物(HPAM)对采收率的提高最大,剪切减薄聚合物(黄原胶)的采收率增量最小,牛顿聚合物(甘油)的采收率居中;也就是说,发现了与实验观察极好的定性一致。对剪切减薄/增稠聚合物的DPNM模拟表明,在这种情况下,聚合物具有更好的前端稳定性,并且在孔隙水平上增加了油的动员,从而留下更少的油。剪切减薄聚合物的模拟表明,与牛顿聚合物(甘油)相比,在快速流动的键中,平均粘度大大降低,这导致了水指指的增强。DPNM还允许我们探索活塞式位移、断裂和膜流等现象,这些现象在孔隙水平上可能会影响各种流体注入方案的整体效率。DPNM模拟聚合物流变性能改变粘性/毛细力之间的平衡,从而实现流体微观转向,从而提高采收率。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Joint Optimization of Well Completions and Controls for CO2 Enhanced Oil Recovery and Storage Transforming Challenges into Opportunities: First High Salinity Polymer Injection Deployment in a Sour Sandstone Heavy Oil Reservoir Use of Dynamic Pore Network Modeling to Improve Our Understanding of Experimental Observations in Viscous Oil Displacement by Polymers
×
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