自动化行业绩效评估-识别,解释和实施盈利机会的协作过程

Muhammad Navaid Khan, Manal Al Bishr, R. Mohan, M. A. Marzouqi, L. Saputelli
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引用次数: 1

摘要

采油机制的复杂性一般随着生产油田的成熟而增加;因此,油藏分析的粒度必须按比例增加,以更好地了解井和油藏的动态。ADNOC的综合油藏管理(IRM)框架已经建立了一套工作流程,专注于在部门层面分析油藏性能,以确保油藏性能的可持续性。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。这项工作的主要目标是促进多学科之间的合作,以评估油藏的表现,并通过一个集中的平台识别、解释和实施有利可图的机会(Al Marzouqi等人,2017)。在ADNOC集团的五个主要资产中实施了一种独特的工艺,这些资产约占阿联酋总产量的50%。该系统利用了来自多个来源的地下数据的自动集成;实时分析可视化通过自动计算关键绩效指标和诊断趋势,提供了区块级油藏动态洞察。(Al Marzouqi et Al, 2018)。集成界面帮助多学科团队识别价值驱动的机会;这些机会的排序和可行性分析由一个闭环成熟过程管理,该过程涉及正式的批准过程,以获得行动的批准或授权。该解决方案提供了一种创新的方式来建立不同资产之间的协作,通过一个可持续的平台来吸收油藏的动态信息。一些直接的好处包括有效地执行油藏管理方案,在项目过程中监测实际和预期性能之间的差异,确保符合生产目标,同时主动减少不足。事实上,2017年,一种水库水位分析工具(RPR)进行了试点,并在SPE-193012-MS中提出。然而,由于需要在扇区级别进行分析,解决方案的整体设计进行了转变,允许用户在扇区和井级粒度上进行分析。SPR (Sector Performance Review)能够在所有资产的所有地下性能评估过程中实现一致的方法,同时通过自动化数据收集和呈现以及识别所有表现不佳的油藏、部门和井来提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Sector Performance Review - A Collaborative Process to Identify, Interpret and Implement Profitable Opportunities
The complexity of the recovery mechanism generally increases with the maturation of a producing field; therefore, the granularity of the reservoir analysis must increase proportionally to better understand the well and reservoir dynamics. ADNOC's Integrated Reservoir Management (IRM) Framework has instituted a set of workflows to focus on analyzing the reservoir performance at the sector level to assure reservoir performance sustainability. ADNOC has developed and implemented a robust automated Sector Performance Review (SPR) process using state-of-the-art analytics and business process management tool. The main objective of this work is to foster collaboration among multiple disciplines to assess the reservoir performance, as well as, to identify, interpret and implement profitable opportunities through a centralized platform (Al Marzouqi et al, 2017). A unique process has been implemented in the five major assets of the ADNOC group, which covers approximately 50% of UAE overall production. The system leverages an automated integration of subsurface data from numerous sources; live analytics visualization provides reservoir performance insights on the sector level through automatically calculated KPIs and diagnostic trends. (Al Marzouqi et al, 2018). The integrated interface helps the multidisciplinary teams to identify the value-driven opportunities; the ranking and the feasibility analysis of these opportunities are governed by a closed-loop maturation process that involves the formal approval processes in order to obtain approval or authorization for action. The solution offers an innovative way to establish collaboration among different assets to assimilate reservoir performance insights through a sustainable platform. Some of the immediate benefits include the effective execution of a reservoir management scheme, monitoring the variance between actual and anticipated performances during the course of projects, and assuring production target compliance whilst mitigating the shortfalls proactively. In fact, a reservoir level analysis tool (RPR) was piloted during 2017 and presented in SPE-193012-MS. However, with the necessity of having analysis at the sector level, the overall design of the solution is transformed to allow the users to carry out the analysis at sector and well level granularity. The SPR (Sector Performance Review) is enabling the achievement of a consistent approach across all assets for all subsurface performance review processes while improving efficiency through automation of data gathering and presentation and the identification of all underperforming reservoir, sectors, and wells.
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