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Implementing a Production Performance Management Platform for Better Production Data Management,Improved Surveillance and Forecasting for Mature Fields-A Case Study in Sharjah,UAE

机译:为更好的生产数据管理实施生产绩效管理平台,改善了成熟领域的监控和预测 - 阿联酋沙迦的案例研究

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In production engineering,managing a mature field,where cost and job complexity increases as the reservoirs further deplete,analyzing a vast amount of data from different sources is required to understand the well and reservoir performance on a timely basis.Analyzing the full picture of the production system behavior and planning timely interventions is the key in managing these fields.As the E&P organizations go through the production lifecycle,it is increasingly difficult to keep this data in a structured format and a place where it can be easily accessed by the end users for their day-to-day workflows.More and more production data end up in Excel spreadsheets and other repositories creating what is known as data entropy.Legacy corporate data archives become a bottleneck in efficient production data management as they cannot scale efficiently.On the data analytics side,production and reservoir engineers often rely on Excel spreadsheets or inefficient home-grown systems which restrict their ability to derive more insights from the data.Then there is the collaboration aspect.Emails and shared-drives become the de-facto form of exchanging analysis and data,but these resources are time consuming and error-prone due to misplacement,duplication and different vintage of several data files.It is contradictory that the E&P industry despite its steady advances with digitalization and adoption of the latest technologies such as Artificial Intelligence and Machine Learning(to mention a few)continues to struggle with these fundamental data management issues.The implementation of a robust production data management system and basic analysis workflows are key to enabling effective digital tools and must be a top priority for any oil and gas organization consolidating their digital journey.This paper talks about the success case of implementing a production data management system for the mature assets of a National Oil Corporation,encompassing 37 years of production data from various scattered archives.The implementation of the system was customized to suit the requirement of the end-users to enable maximum utilization and faster adoption of the technology.The conceptualization,implementation,customization and development of this digital transformation initiative along with lessons learnt and future development possibilities is demonstrated in this case study.
机译:在生产工程中,管理成熟的领域,在成本和工作复杂性随着水库进一步耗尽时增加,可以及时地分析来自不同来源的大量数据来了解井和储层性能.Analyzing整个图片生产系统行为和规划及时干预是管理这些字段的关键。E&P组织通过生产生命周期,越来越难以以结构化格式保留此数据以及最终用户可以轻松访问的地方。对于他们的日常工作流程.More和更多的生产数据在Excel电子表格中最终结束,其他存储库创建了所谓的数据熵.Legacy公司数据档案成为高效生产数据管理的瓶颈,因为它们无法有效地缩放。数据分析侧,生产和水库工程师经常依赖于Excel电子表格或效率低下的自制系统限制他们能够从数据中获取更多洞察力。然后有协作方面。恐怖和共享驱动器成为交换分析和数据的脱磁形式,但由于错位,复制和销售,这些资源是耗时和错误的几个数据文件的不同葡萄酒是矛盾的,即E&P Industry尽管具有稳定的拓展和采用最新技术,如人工智能和机器学习(提及几个)继续与这些基本数据管理问题斗争。实施强大的生产数据管理系统和基本分析工作流程是实现有效数字工具的关键,并且必须成为整合其数字旅程的石油和天然气组织的首要任务。本文讨论了实施生产数据管理系统的成功案例对于国家石油公司成熟资产,包括来自var的37年的生产数据局部分散的档案。制度的实施是为满足最终用户的要求,以实现最大利用和更快的技术。这种数字转型倡议的概念化,实施,定制和发展以及学习的经验教训和未来的经验教训在这种情况下证明了发展可能性。

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