Enhancing Reservoir Stimulation through Mathematical Remodeling of Pre-Flush Acidizing Volume Algorithm for Different Reservoir Flow Geometries

Justice Osuala, D. I. Egu, A. J. Ilozobhie, Blessing Ogechi Nwojiji
{"title":"Enhancing Reservoir Stimulation through Mathematical Remodeling of Pre-Flush Acidizing Volume Algorithm for Different Reservoir Flow Geometries","authors":"Justice Osuala, D. I. Egu, A. J. Ilozobhie, Blessing Ogechi Nwojiji","doi":"10.2118/211916-ms","DOIUrl":null,"url":null,"abstract":"\n Studies show that an average of 35% of reservoir acid stimulation operations executed every year fails because of limited knowledge of downhole acid placement. Existing models designed for acid pre-flush volumes are limited to Linear, Radial and Ellipsoidal reservoir geometries, therefore, do not account for geological drifts of a typical heterogenic reservoir. This can be erroneous while estimating acid placement volumes as reservoirs can deviate from defined flow geometries due to their dynamic and heterogeneous nature, thereby challenging to estimate acid volumes precisely for stimulations. This study aims to foster sustainability in reservoir flow engineering by deriving a mathematical model that evaluates volumes for reservoirs with flow geometries that deviate from linear and radial. This was established to help introduce a new geometry contributing to the accountability of complex and heterogeneous reservoirs. Sensitivity analysis and investigation using reservoir core data from SPDC Petroleum Chemistry Laboratory were carried out to understand the relationship between Linear, Radial and Modified flow geometries. Analytical results for linear, radial and the fied were generated. These results proved the precision of the modified equation for calculating pre-flush acid volume for reservoir acid stimulation operation.","PeriodicalId":399294,"journal":{"name":"Day 2 Tue, August 02, 2022","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Tue, August 02, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/211916-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Studies show that an average of 35% of reservoir acid stimulation operations executed every year fails because of limited knowledge of downhole acid placement. Existing models designed for acid pre-flush volumes are limited to Linear, Radial and Ellipsoidal reservoir geometries, therefore, do not account for geological drifts of a typical heterogenic reservoir. This can be erroneous while estimating acid placement volumes as reservoirs can deviate from defined flow geometries due to their dynamic and heterogeneous nature, thereby challenging to estimate acid volumes precisely for stimulations. This study aims to foster sustainability in reservoir flow engineering by deriving a mathematical model that evaluates volumes for reservoirs with flow geometries that deviate from linear and radial. This was established to help introduce a new geometry contributing to the accountability of complex and heterogeneous reservoirs. Sensitivity analysis and investigation using reservoir core data from SPDC Petroleum Chemistry Laboratory were carried out to understand the relationship between Linear, Radial and Modified flow geometries. Analytical results for linear, radial and the fied were generated. These results proved the precision of the modified equation for calculating pre-flush acid volume for reservoir acid stimulation operation.
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
不同储层流动几何形状下预冲酸化体积算法的数学重构提高储层增产效果
研究表明,每年平均有35%的储层酸增产作业失败,原因是对井下酸投放的了解有限。为预冲酸体积设计的现有模型仅限于线性、径向和椭球形油藏几何形状,因此不能考虑典型非均质油藏的地质漂移。由于储层的动态性和非均质性,可能会偏离定义的流动几何形状,因此在估计酸投放量时可能会出现错误,因此很难准确估计增产作业所需的酸体积。本研究旨在通过推导一个数学模型来评估偏离线性和径向流动几何形状的油藏的体积,从而促进油藏流动工程的可持续性。这有助于引入一种新的几何形状,有助于复杂和非均质储层的可解释性。利用SPDC石油化学实验室的储层岩心数据进行敏感性分析和调查,以了解线性、径向和修正流动几何形状之间的关系。给出了直线、径向和非直线的分析结果。这些结果证明了修正后的储层酸化预冲酸量计算公式的准确性。
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
Application of Machine Learning Algorithm for Predicting Produced Water Under Various Operating Conditions in an Oilwell Gas Condensate Well Deliverability Model, a Field Case Study of a Niger Delta Gas Condensate Reservoir Assessment of Nigeria's Role in the Global Energy Transition d Maintaining Economic Stability Prediction of Scale Precipitation by Modelling its Thermodynamic Properties using Machine Learning Engineering Cost Optimization by Designing an Ultra-Slim Horizontal Well in the Niger Delta – The Eremor Field Case Study
×
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