Sultanate of Oman Giant Fractured Carbonate Field, Fracture Model Impact on Understanding Field Connectivity from Seismic to Flow

Mohmed Helmy, R. Farajzadeh, Adnan Al Maqbali, Mohamed Sabahi
{"title":"Sultanate of Oman Giant Fractured Carbonate Field, Fracture Model Impact on Understanding Field Connectivity from Seismic to Flow","authors":"Mohmed Helmy, R. Farajzadeh, Adnan Al Maqbali, Mohamed Sabahi","doi":"10.2118/200154-ms","DOIUrl":null,"url":null,"abstract":"\n The paper presents an integrated reservoir modeling (IRM) of a giant complex fractured carbonate reservoir to get insights about the reservoir's displacement process. Historically the field has undergone many recovery mechanisms, nowadays two still remains: Gas-Oil Gravity Drainage (GOGD) and waterflood. A major change in understanding the vertical connectivity of the different reservoir units henders the future development options. A decision-based approach was followed to select an economically feasible field development option. Selection of economically feasible development option need; field performance review, full frame structure and geological model is built, ideal conceptual sector models sliced from the full frame structural model and numerical dynamic simulation is carried out with different development options (water injection (WI), gas oil gravity drainage (GOGD) and mixture of WI and GOGD).\n Understanding the fluid flow behavior in fractured carbonate reservoirs is complex and challenging. The complexity directly linked to the understanding of the fracture hierarchy and connectivity. The field development plan at the time of analyzing the field data was water injection with very good recovery factor that cannot be explained by the injected water pore volume. Applying the integrated reservoir modeling (IRM) procedures, full filed performance review is carried out, update of subsurface models with different fracture model realizations and run numerical dynamic simulations over idealized conceptual models with different development options. Full filed history match is carried out on the selected development option.\n Front Loading and data analysis is key for successful modeling strategy, the main uncertainty is the fracture distribution, better understanding of the reservoir units cross flow, understand the effect of different development options on recovery factor in significantly short time and create reasonable scenarios of subsurface.\n Well performance showed some effects of water injection. Gas oil gravity is the dominant recovery process. Gas recirculation of shallow wells have negative effects on the GOGD process. Adding water injectors with continuous gas injection has negative effects on the recovery factor.\n The fracture hierarchy is key to understand the subsurface. All the studied reservoir units are in communication via fracture corridors. The main recovery mechanism is gas oil gravity drainage (GOGD). WI may have local effects but as development concept it will not add value. Well location relative to fracture corridors is critical to achieve better history match. Water injection has negative effect on field recovery and operationally (WRFM). Filed operation optimization (optimize gas injection) can result in maintain the same rate with lower CPEX and OPEX (Capital spending efficiency).\n This paper presents significant importance understanding the integration and clear vision of the modeling strategy that saves effort and money.","PeriodicalId":11113,"journal":{"name":"Day 1 Mon, March 21, 2022","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, March 21, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/200154-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

The paper presents an integrated reservoir modeling (IRM) of a giant complex fractured carbonate reservoir to get insights about the reservoir's displacement process. Historically the field has undergone many recovery mechanisms, nowadays two still remains: Gas-Oil Gravity Drainage (GOGD) and waterflood. A major change in understanding the vertical connectivity of the different reservoir units henders the future development options. A decision-based approach was followed to select an economically feasible field development option. Selection of economically feasible development option need; field performance review, full frame structure and geological model is built, ideal conceptual sector models sliced from the full frame structural model and numerical dynamic simulation is carried out with different development options (water injection (WI), gas oil gravity drainage (GOGD) and mixture of WI and GOGD). Understanding the fluid flow behavior in fractured carbonate reservoirs is complex and challenging. The complexity directly linked to the understanding of the fracture hierarchy and connectivity. The field development plan at the time of analyzing the field data was water injection with very good recovery factor that cannot be explained by the injected water pore volume. Applying the integrated reservoir modeling (IRM) procedures, full filed performance review is carried out, update of subsurface models with different fracture model realizations and run numerical dynamic simulations over idealized conceptual models with different development options. Full filed history match is carried out on the selected development option. Front Loading and data analysis is key for successful modeling strategy, the main uncertainty is the fracture distribution, better understanding of the reservoir units cross flow, understand the effect of different development options on recovery factor in significantly short time and create reasonable scenarios of subsurface. Well performance showed some effects of water injection. Gas oil gravity is the dominant recovery process. Gas recirculation of shallow wells have negative effects on the GOGD process. Adding water injectors with continuous gas injection has negative effects on the recovery factor. The fracture hierarchy is key to understand the subsurface. All the studied reservoir units are in communication via fracture corridors. The main recovery mechanism is gas oil gravity drainage (GOGD). WI may have local effects but as development concept it will not add value. Well location relative to fracture corridors is critical to achieve better history match. Water injection has negative effect on field recovery and operationally (WRFM). Filed operation optimization (optimize gas injection) can result in maintain the same rate with lower CPEX and OPEX (Capital spending efficiency). This paper presents significant importance understanding the integration and clear vision of the modeling strategy that saves effort and money.
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
阿曼Sultanate巨型碳酸盐岩裂缝性油田,裂缝模型对从地震到流动的油田连通性的影响
针对某大型复杂裂缝性碳酸盐岩储层,建立了综合储层建模方法(IRM),以了解储层的驱替过程。从历史上看,该油田经历了多种采收率机制,目前仍有两种采收率机制:油气重力泄油(GOGD)和注水。对不同储层单元的垂直连通性的理解发生了重大变化,这影响了未来的开发选择。采用基于决策的方法来选择经济上可行的油田开发方案。经济上可行的发展选择需要的选择;通过现场动态评价,建立了全框架结构和地质模型,从全框架结构模型中分割出理想的概念扇区模型,并在不同的开发方案(注水(WI)、油气重力排水(GOGD)以及WI和GOGD混合)下进行了数值动态模拟。了解裂缝性碳酸盐岩储层中的流体流动特性是一项复杂且具有挑战性的工作。复杂性直接与对裂缝层次和连通性的理解有关。在分析现场资料时,油田开发计划是注水,采收率非常好,不能用注入水孔隙体积来解释。应用综合油藏建模(IRM)程序,进行了全油田的动态评估,更新了具有不同裂缝模型实现的地下模型,并对具有不同开发方案的理想化概念模型进行了数值动态模拟。对所选的开发选项执行完整的归档历史匹配。前加载和数据分析是建模策略成功的关键,主要的不确定性是裂缝分布,更好地了解储层单元的横向流动,在短时间内了解不同开发方案对采收率的影响,并创建合理的地下场景。井眼动态表现出一定的注水效果。油气重采过程占主导地位。浅层井的再循环对GOGD过程有不利影响。连续注气时加入注水井对采收率有负面影响。裂缝等级是了解地下情况的关键。所有研究的储层单元均通过裂缝走廊连通。主要开采机制为油气重力泄放(GOGD)。WI可能对当地有影响,但作为发展理念,它不会增加价值。相对于裂缝走廊的井位对于实现更好的历史匹配至关重要。注水对油田采收率和作业效率(WRFM)有负面影响。油田作业优化(优化注气)可以在降低CPEX和OPEX(资本支出效率)的情况下保持相同的产量。本文提出了理解集成和清晰的建模策略的重要性,这可以节省精力和金钱。
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
Mukhaizna Steam Flood Project: Thermal Surveillance Practices and Log Response Brine to Enhance the Transport of Encapsulated Petroleum Sulfonates Nanosurfactants Deeper into the High Temperature Carbonate Reservoirs A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs Diverse Asphaltene Challenges in a Mature Field: A Fluid Study from Iraq Artificial-Intelligence Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes, and Expert-Based Workflows
×
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