A Unified Gas-Liquid Drift-Flux Model for Coupled Wellbore-Reservoir Simulation

Hewei Tang, W. Bailey, T. Stone, J. Killough
{"title":"A Unified Gas-Liquid Drift-Flux Model for Coupled Wellbore-Reservoir Simulation","authors":"Hewei Tang, W. Bailey, T. Stone, J. Killough","doi":"10.2118/195885-ms","DOIUrl":null,"url":null,"abstract":"\n Implementation of a drift-flux (DF) multiphase flow model within a fully-coupled wellbore-reservoir simulator is non-trivial and must adhere to a number of strict requirements in order to ensure numerical robustness and convergence. The existing DF model that can meet these requirements is only fully posed for upward flow from 2 degrees (from the horizontal) to vertical. The work attempts to extend the current DF model to a unified and numerically robust model that is applicable to all well inclinations. In order to achieve this objective, some 5805 experimentally measured data points from 22 sources as well as 13440 data points from the OLGA-S library are utilized to parameterize a new DF model – one that makes use of the accepted upward flow DF model and a new formulation extending this to horizontal and downward flow. The proposed model is compared against 2 existing DF models (also applicable to all inclinations) and is shown to have better, or equivalent, performance. More significantly, the model is also shown to be numerically smooth, continuous and stable for co-current flow when implemented in a fully implicitly coupled wellbore-reservoir simulator.","PeriodicalId":10909,"journal":{"name":"Day 2 Tue, October 01, 2019","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, October 01, 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/195885-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Implementation of a drift-flux (DF) multiphase flow model within a fully-coupled wellbore-reservoir simulator is non-trivial and must adhere to a number of strict requirements in order to ensure numerical robustness and convergence. The existing DF model that can meet these requirements is only fully posed for upward flow from 2 degrees (from the horizontal) to vertical. The work attempts to extend the current DF model to a unified and numerically robust model that is applicable to all well inclinations. In order to achieve this objective, some 5805 experimentally measured data points from 22 sources as well as 13440 data points from the OLGA-S library are utilized to parameterize a new DF model – one that makes use of the accepted upward flow DF model and a new formulation extending this to horizontal and downward flow. The proposed model is compared against 2 existing DF models (also applicable to all inclinations) and is shown to have better, or equivalent, performance. More significantly, the model is also shown to be numerically smooth, continuous and stable for co-current flow when implemented in a fully implicitly coupled wellbore-reservoir simulator.
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
井筒-油藏耦合模拟的统一气液漂移通量模型
在一个完全耦合的井筒-油藏模拟器中实现一个漂移通量(DF)多相流模型是非常重要的,必须遵守一些严格的要求,以确保数值的鲁棒性和收敛性。现有的能够满足这些要求的DF模型,仅对从2度(水平)到垂直的向上流动完全构成。这项工作试图将当前的DF模型扩展为一个适用于所有井倾角的统一的、数值健壮的模型。为了实现这一目标,利用来自22个来源的5805个实验测量数据点和来自OLGA-S库的13440个数据点来参数化一个新的DF模型,该模型利用了公认的向上流动DF模型和将其扩展到水平和向下流动的新公式。将提出的模型与现有的两个DF模型(也适用于所有倾斜度)进行比较,结果显示具有更好或同等的性能。更重要的是,当在完全隐式耦合井筒-油藏模拟器中实现时,该模型在数值上也显示出光滑、连续和稳定的共流。
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
Verification of Autonomous Inflow Control Valve Flow Performance Within Heavy Oil-SAGD Thermal Flow Loop Reactive vs Proactive Intelligent Well Injection Evaluation for EOR in a Stratified GOM Deepwater Wilcox Reservoir using Integrated Simulation-Surface Network Modeling A Novel Workflow for Oil Production Forecasting using Ensemble-Based Decline Curve Analysis An Artificial Intelligence Approach to Predict the Water Saturation in Carbonate Reservoir Rocks Characterization of Organic Pores within High-Maturation Shale Gas Reservoirs
×
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