智能油田技术和管理:最大化实时监控和利用

Mohammad S. Al-Kadem, K. Yateem, M. A. Amri
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引用次数: 6

摘要

就可靠性和可用性而言,智能油田技术和管理实时数据监控在延长资产寿命、提高资产完整性和主动预防问题的过程中至关重要。这说明了通过利用智能场概念在整合尖端技术方面的领导作用。监控利用从智能现场设备传输的实时数据,其中数学算法和逻辑是自动化和强加的。该应用程序捕获特定的数据集,以帮助识别和分析与智能现场设备相关的挑战。主要的优势包括确定系统技术,利用自动诊断减少人为干预,开发现场监测,通过在线建模交叉验证测量,并进一步加强协作。本文详细介绍了在能源工业应用中有效利用实时数据的方法、结果、要求和考虑因素。该平台允许业务团队成员及其合作伙伴实时通信、协作和协调活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Oilfield Technologies and Management: Maximizing Real-Time Surveillance and Utilization
Smart oilfield technologies and management real-time data surveillance, in terms of reliability and availability, has proven essential in the process of prolonging asset lifespan, improving asset integrity, and proactively preventing problems. This illustrates a leadership role in the integration of cutting-edge technologies by utilizing an Intelligent Field concept. Surveillance capitalizes on real-time data transmitted from Intelligent Field equipment, where mathematical algorithms and logic are automated and imposed. The application captures specific sets of data to help identify and analyze challenges associated with Intelligent Field equipment. Major prevailing benefits include, identifying systematic techniques to utilize automated diagnostics for reduction in human intervention, develop field level surveillance, cross-validating measurements through online modeling, and further enhance collaboration. This paper details the methodology, the outcome, the requirements, and considerations associated with effective real-time data utilization in energy industry applications. The platform allows business team members and their partners to communicate, collaborate, and coordinate activities in real time.
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