利用 Pipesim 网络优化器优化气举分配

Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe
{"title":"利用 Pipesim 网络优化器优化气举分配","authors":"Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe","doi":"10.30574/wjaets.2024.11.1.0068","DOIUrl":null,"url":null,"abstract":"This work maximizes oil production from a network of gas lift wells and determines the optimal amount of lift gas with PIPESIM network optimizer. PIPESIM was used to build a couple wellbore-flowline model and its network optimizer was utilized to maximize oil production from a network of gas lifted wells. Two wells were created (Well A and B) and connected to their respective flow lines to a manifold and from the manifold to the central processing facility (CPF) represented by a sink node. A comparison of the oil production rate from Well B with and without constraint on water production rate shows that 7337.432STB/day of oil was produced without any constraints on water production while 7373.479 STB/day of oil was produced with constraint on water production and Well A, 280.6693 STB/day of oil was produced without any constraints on water production while 3.266503 STB/day of oil was produced with constraint on water production. For the injection of 4MMscf/day of gas with a constraint of 1800STB/day on water production, results reveals that a total gas lift rate of 3.723612MMscf/day was required to lift a total oil rate of 7484.669STB/day. Therefore, out of the 4MMscf/day of gas available, 3.723612MMscf/day should be allocated to the network to optimized production.","PeriodicalId":275182,"journal":{"name":"World Journal of Advanced Engineering Technology and Sciences","volume":"88 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gas lift allocation optimization using Pipesim network optimizer\",\"authors\":\"Nyelebuchi Amadichuku, Ugwunna Dickson Amadi, Abu Robin, Ndidi Uzoigwe\",\"doi\":\"10.30574/wjaets.2024.11.1.0068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work maximizes oil production from a network of gas lift wells and determines the optimal amount of lift gas with PIPESIM network optimizer. PIPESIM was used to build a couple wellbore-flowline model and its network optimizer was utilized to maximize oil production from a network of gas lifted wells. Two wells were created (Well A and B) and connected to their respective flow lines to a manifold and from the manifold to the central processing facility (CPF) represented by a sink node. A comparison of the oil production rate from Well B with and without constraint on water production rate shows that 7337.432STB/day of oil was produced without any constraints on water production while 7373.479 STB/day of oil was produced with constraint on water production and Well A, 280.6693 STB/day of oil was produced without any constraints on water production while 3.266503 STB/day of oil was produced with constraint on water production. For the injection of 4MMscf/day of gas with a constraint of 1800STB/day on water production, results reveals that a total gas lift rate of 3.723612MMscf/day was required to lift a total oil rate of 7484.669STB/day. Therefore, out of the 4MMscf/day of gas available, 3.723612MMscf/day should be allocated to the network to optimized production.\",\"PeriodicalId\":275182,\"journal\":{\"name\":\"World Journal of Advanced Engineering Technology and Sciences\",\"volume\":\"88 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World Journal of Advanced Engineering Technology and Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30574/wjaets.2024.11.1.0068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Advanced Engineering Technology and Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30574/wjaets.2024.11.1.0068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

这项研究利用 PIPESIM 网络优化器最大限度地提高气举井网络的石油产量,并确定最佳气举量。利用 PIPESIM 建立了一对井筒-流线模型,并利用其网络优化器最大限度地提高了气举井网络的石油产量。创建了两口井(A 井和 B 井),并将各自的流线连接到一个集流管,再从集流管连接到中央处理设施(CPF),CPF 由一个汇节点表示。对 B 井的产油量进行比较后发现,在不限制产水量的情况下,B 井的产油量为 7337.432 STB/天,而在限制产水量的情况下,B 井的产油量为 7373.479 STB/天;在不限制产水量的情况下,A 井的产油量为 280.6693 STB/天,而在限制产水量的情况下,A 井的产油量为 3.266503 STB/天。在注气量为 4MMscf/ 天、产水量为 1800STB/ 天的限制条件下,结果显示,总的气举率为 3.723612MMscf/ 天,总的采油率为 7484.669STB/天。因此,在每天可用的 4MMscf 天然气中,应将 3.723612MMscf/ 天分配给网络,以优化生产。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Gas lift allocation optimization using Pipesim network optimizer
This work maximizes oil production from a network of gas lift wells and determines the optimal amount of lift gas with PIPESIM network optimizer. PIPESIM was used to build a couple wellbore-flowline model and its network optimizer was utilized to maximize oil production from a network of gas lifted wells. Two wells were created (Well A and B) and connected to their respective flow lines to a manifold and from the manifold to the central processing facility (CPF) represented by a sink node. A comparison of the oil production rate from Well B with and without constraint on water production rate shows that 7337.432STB/day of oil was produced without any constraints on water production while 7373.479 STB/day of oil was produced with constraint on water production and Well A, 280.6693 STB/day of oil was produced without any constraints on water production while 3.266503 STB/day of oil was produced with constraint on water production. For the injection of 4MMscf/day of gas with a constraint of 1800STB/day on water production, results reveals that a total gas lift rate of 3.723612MMscf/day was required to lift a total oil rate of 7484.669STB/day. Therefore, out of the 4MMscf/day of gas available, 3.723612MMscf/day should be allocated to the network to optimized production.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The study of an innovative Eéducationnel practice in Greek students: The flipped learning Optimization of solar energy using recurrent neural network controller with dc-dc boost, Cuk, and single-ended primary inductor converter (SEPIC) Converters Fungal species associated with the surface of selected green leafy vegetables from Bwari market, Abuja - Nigeria: implications on consumer health Comprehensive analysis of gold and silver trading patterns and future projections Policy approaches for bioenergy development in response to climate change: A conceptual analysis
×
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