西西伯利亚成熟注水生产动态初步诊断指标分析

A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova
{"title":"西西伯利亚成熟注水生产动态初步诊断指标分析","authors":"A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova","doi":"10.2118/204641-ms","DOIUrl":null,"url":null,"abstract":"\n The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project.\n The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile.\n The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile.\n Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation.\n The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling.\n This allowed to zoom on the wells with potential complications and understand their production/recovery potential.\n The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.","PeriodicalId":11024,"journal":{"name":"Day 4 Wed, December 01, 2021","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Production Performance Analysis of Western Siberia Mature Waterflood with Prime Diagnostic Metrics\",\"authors\":\"A. Aslanyan, A. Margarit, A. Popov, I. Zhdanov, E. Pakhomov, M. Garnyshev, D. Gulyaev, R. Farakhova\",\"doi\":\"10.2118/204641-ms\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project.\\n The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile.\\n The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile.\\n Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation.\\n The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling.\\n This allowed to zoom on the wells with potential complications and understand their production/recovery potential.\\n The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.\",\"PeriodicalId\":11024,\"journal\":{\"name\":\"Day 4 Wed, December 01, 2021\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Day 4 Wed, December 01, 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2118/204641-ms\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 4 Wed, December 01, 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/204641-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

摘要

本文介绍了西西伯利亚某成熟油田的生产分析实例,该油田井存量大(100万桶),正在进行注水开发。该油田的主要生产问题是产水不足、注水不足和垂直波及剖面不均匀。该研究的目的是利用常规生产和监测数据分析30年的开发历史,识别盗窃产水和盗窃注水的嫌疑人,并检查垂直流动剖面的均匀性。在每口井的基础上进行这种分析是一个很大的挑战,需要系统的方法和大量的自动化。大多数常规诊断指标不能确定生产并发症的起源。最终选择了基于PRIME指标的生产分析工作流程,该流程可以自动生成许多常规生产性能指标(包括重新分配的生产图和横截面),还可以基于自动3D微建模生成高级指标。这可以放大具有潜在复杂情况的井,并了解其生产/采收率潜力。PRIME分析还有助于识别可能拥有可采储量的井和区域,并可能从额外的井和井间监测中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production Performance Analysis of Western Siberia Mature Waterflood with Prime Diagnostic Metrics
The paper shares a practical case of production analysis of mature field in Western Siberia with a large stock of wells (> 1,000) and ongoing waterflood project. The main production complications of this field are the thief water production, thief water injection and non-uniform vertical sweep profile. The objective of the study was to analyse the 30-year history of development using conventional production and surveillance data, identify the suspects of thief water production and thief water injection and check the uniformity of the vertical flow profile. Performing such an analysis on well-by-well basis is a big challenge and requires a systematic approach and substantial automation. The majority of conventional diagnostic metrics fail to identify the origin of production complications. The choice was made in favour of production analysis workflow based on PRIME metrics, which automatically generates numerous conventional production performance metrics (including the reallocated production maps and cross-sections) and additionally generates advanced metrics based on automated 3D micro-modelling. This allowed to zoom on the wells with potential complications and understand their production/recovery potential. The PRIME analysis has also helped to identify the wells and areas which potentially may hold recoverable reserves and may benefit from additional well and cross-well surveillance.
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
×
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