Enhanced Field Sustainable Oil Production Rate Forecast Using Integrated Asset Operating Model for Production Efficiency Improvement

Erismar Rubio, N. Reddicharla, Mayada Ali Sultan Ali, Mohamed Ali AL Attar, R. Davila, Avnish Kumar
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Abstract

As hydrocarbon fields are maturing, field sustainable oil production rate (FSOPR) assurance is a challenge for operators to deliver the demands while adhering reservoir management guidelines after accounting for all well & facility downtimes and system inefficiencies. As part of digital transformation journey, ADNOC Onshore has embarked on an initiative to automate FSOPR forecast while eliminating inefficiencies in current process, standardization, leveraging robust data integration and analytics. FSOPR forecast is probably the most complex task performed by oil companies as involved the orchestration of all support and technical departments from the field to the terminal. Effective FSOPR estimation is an integrated effort from reservoir/petroleum engineering, drilling/well services, operations, oil movement, planning, maintenance, engineering and reliability teams. The assurance process requires a structured and integrated approach of data gathering, review, and simulations to produce a reliable forecasts. Before, data/process integration and reporting was time-consuming representing a real challenge as it was managed through manual data-loading in spreadsheets & emails with low visibility to all stakeholders. Now FSOPR is estimated using up-to-date well/network models, including contribution from newly drilled & well reactivation plans, well-performance deterioration and production restoration from field activities. Similarly planned/unplanned losses from reservoir management (RM), field activities & facility maintenance jobs are optimized through the solution, offering integration with reliability models. The automated web-page solution leverages business process engine enabled by intelligent data integration from various workflow elements and allows all stakeholders to collaborate in one portal to have on single version of the truth. The data abstraction layer retrieves information and presented in the solution from legacy systems, production modelling workflows and SAP. The base plan & optimization cases are tracked by process health KPIs and approved using Business process management workflow. FSOPR automation system has been successfully piloted in one ADNOC Onshore assets. This automation was an enabler for better planning and scheduling of maintenance and RM activities and also provides assurance of monthly oil quota achievement by highlighting early potential threats that can hinder the realization of the FSOPR plan, thus corrective action can be taken on time considering best RM practices. The whole process of data gathering, planning, activity scheduling, optimization and approval has been reduced by 60% along with a more rigorous and errorless process. The added value besides enhancing efficiency, it has minimized well downtime and production deferment avoidance of 1-2%. This automation paved the path for FSOPR assurance process standardization across company portfolio of assets. The initiative is aligned with ADNOC digital transformation roadmap to leverage industry 4.0 technologies and digitalization of key upstream business processes in a consistent, integrated and uniform manner. This paper talks about transformation, FSOPR elements, low code solution & integration architecture, analytics, change adoption and benefits realization.
基于综合资产运营模型的油田可持续产油量预测
随着油气田的日益成熟,油田可持续产油量(FSOPR)的保证对作业者来说是一个挑战,在考虑到所有油井和设施停机时间和系统效率低下的情况下,既要满足需求,又要遵守油藏管理准则。作为数字化转型之旅的一部分,ADNOC陆上公司已经开始实施自动化FSOPR预测的计划,同时消除当前流程、标准化中的低效率,利用强大的数据集成和分析。FSOPR预测可能是石油公司执行的最复杂的任务,因为它涉及到从现场到终端的所有支持和技术部门的协调。有效的FSOPR估算是油藏/石油工程、钻井/井服务、作业、石油运输、规划、维护、工程和可靠性团队的综合努力。保证过程需要数据收集、审查和模拟的结构化和集成方法,以产生可靠的预测。以前,数据/流程集成和报告非常耗时,是一个真正的挑战,因为它是通过手动在电子表格和电子邮件中加载数据来管理的,对所有利益相关者的可见性都很低。现在,使用最新的井/网络模型来估算FSOPR,包括新钻井和井的再激活计划、井性能恶化和现场活动的生产恢复。同样,油藏管理(RM)、现场活动和设施维护工作的计划/计划外损失也可以通过该解决方案进行优化,并提供与可靠性模型的集成。自动化的网页解决方案利用了由来自各种工作流元素的智能数据集成所启用的业务流程引擎,并允许所有利益相关者在一个门户中协作,以获得单一版本的事实。数据抽象层从遗留系统、生产建模工作流和SAP中检索信息并将其呈现在解决方案中。通过流程运行状况kpi跟踪基本计划和优化案例,并使用业务流程管理工作流进行批准。FSOPR自动化系统已在ADNOC的一个陆上资产中成功试用。这种自动化有助于更好地规划和调度维护和RM活动,并通过突出可能阻碍FSOPR计划实现的早期潜在威胁,确保每月石油配额的实现,因此可以根据最佳RM实践及时采取纠正措施。数据收集、计划、活动调度、优化和审批的整个流程减少了60%,流程更加严谨、无差错。除了提高效率之外,它的附加价值还减少了油井停机时间,避免了1-2%的生产延迟。这种自动化为跨公司资产组合的FSOPR保证过程标准化铺平了道路。该计划与ADNOC数字化转型路线图保持一致,以一致、集成和统一的方式利用工业4.0技术和关键上游业务流程的数字化。本文讨论了转换、FSOPR要素、低代码解决方案和集成架构、分析、变更采用和效益实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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