Achieving Reservoir Performance Excellence By Implementing Automated Sector Performance: Onshore Field Case Study

Maryvi Martinez Santiago, Shamma Al Shehhi, Sukilesh Anbalagan, A. Shbair, F. Noordin, Dicky Trisnadi, Mustapha Adli, Krisna Surya
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Abstract

ADNOC has development and implemented a robust automated sector performance review (SPR) process using state-of-the-art analytics and business process management tool (Khan et al., 2019). In this paper, we will present the achieved results and the defined opportunities by implementing SPR across some targeted reservoirs during the previous last 2 years. With the necessity of having analysis at sector level, the main objective of this work is to conduct an integrated reservoir dynamic synthesis, identify all challenges and opportunities to come up with robust and practical action plan aiming for best reservoir management and ultimately obtain best oil recovery by sector. Applying Integrated Reservoir Management (IRM) Workflow on Giant Onshore Field, It was decided to start the project on one major Reservoir A (divided by 3 sectors) as a project pilot. First data were collected from operations database, data management in spreadsheets, simulation output format, maps and images. All data were organized into the automated SPR workflow through a web based Business Process Management (BPM) that provided mechanism for the user to load, validate and approve technical data. Setting the workflow to focusing on analyzing the reservoir performance at sector level, the data is illustrated in an integrated visualization environment including panels for the reservoir KPI, production plan compliance status and reservoir pressure maintenance, diagnostic plots, production and injection summary, etc., opening the possibility for the user to identify new opportunities and areas that needs further investigations. Few key enhancements are listed and were suggested to the solution as a next phase. Following a methodical SPR automated workflow these conclusion are drawn: Technical data can be approved with appropriate notification for task execution. Data processing cycles, visualization and performance analysis dashboard time frame was reduced. It was identify the underperforming areas into the sectors. The Opportunity Management proactive system was used to identify reservoir profitable opportunities through a centralized platform. Action plans include well and surface intervention. 20% of the activities were successfully implemented and provided significant added values. Implementation of the automated SPR workflows as part of Digital technologies is renovating the traditional work process into very effective and advanced analytics and has achieved excellence in reservoir management and reserves recovery.
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通过实施自动化作业实现油藏卓越性能:陆上油田案例研究
ADNOC使用最先进的分析和业务流程管理工具开发并实施了强大的自动化行业绩效评估(SPR)流程(Khan等人,2019)。在本文中,我们将介绍过去两年在一些目标储层实施SPR所取得的成果和确定的机会。由于有必要在部门层面进行分析,这项工作的主要目标是进行一个综合的油藏动态综合,识别所有的挑战和机遇,提出强大而实用的行动计划,旨在实现最佳的油藏管理,并最终获得最佳的石油采收率。将综合油藏管理(IRM)工作流程应用于大型陆上油田,决定在一个主要油藏A(分为3个区块)上启动该项目作为项目试点。首先从操作数据库中收集数据,在电子表格中进行数据管理,模拟输出格式,地图和图像。所有数据都通过基于web的业务流程管理(BPM)组织到自动化的SPR工作流中,该工作流为用户提供了加载、验证和批准技术数据的机制。将工作流程设置为专注于在扇区层面分析储层动态,数据在集成的可视化环境中进行说明,包括储层KPI面板、生产计划合规状态、储层压力维护、诊断图、生产和注入总结等,为用户提供了识别新机会和需要进一步调查的区域的可能性。本文列出了一些关键的增强功能,并建议将其作为下一阶段的解决方案。遵循有条不紊的SPR自动化工作流,可以得出以下结论:技术数据可以通过适当的通知来批准任务执行。数据处理周期、可视化和性能分析仪表板时间框架缩短。它将表现不佳的领域划分为行业。机会管理主动系统通过一个集中平台来识别油藏的盈利机会。行动计划包括油井和地面干预。20%的活动成功实施,并提供了显著的附加值。作为数字技术的一部分,自动化SPR工作流程的实施将传统的工作流程革新为非常有效和先进的分析,并在油藏管理和储量开采方面取得了卓越的成就。
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