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Enterprise modeling and operational technologies (OT) application in the oil and gas industry
Journal of Industrial Information Integration ( IF 15.7 ) Pub Date : 2020-07-16 , DOI: 10.1016/j.jii.2020.100160
Paola Lara , Mario Sánchez , Jorge Villalobos

When modeling enterprises, it is necessary to capture, simplify, abstract, and organize a vast number of key organizational elements. These elements (e.g., organizational units, human resources, production processes, and IT systems) are frequently organized and modeled in the business and IT domains. The focus on modeling these domains casts aside other important domains for asset-intensive industries such as operational technologies (OT), which is directly responsible for producing and delivering a company's goods and services. The information produced with OT can be used to generate insight into the production performance, which allows a more accurate decision-making process regarding productivity, its strategy, and within the business. With the rise of trends such as industrial Internet of Things (IoT) and cloud manufacturing, that seek convergence of IT technologies in OT networks, OT and IT analysis are highly sought after in today's industries striving for real-time analysis of data. To analyze the data in the OT and IT domain it is necessary to use models, which not only focus on describing both domains but can also show the relationship between them. In this paper, we present a technique that uses the operational data, produced in an organization, in order to model OT, with the purpose of applying analysis methods as those applied to enterprise modeling. To do so, the technique classifies, structures, and characterizes the information, measurements, and indicators, in a catalog, which is then used to complement an OT metamodel. We illustrate this technique for the oil and gas sector, for which we built an OT indicator catalog, based on an OT metamodel, and created corresponding analysis methods.



中文翻译:

企业建模和运营技术(OT)在石油和天然气行业中的应用

在对企业建模时,有必要捕获,简化,抽象和组织大量关键组织元素。这些要素(例如组织单位,人力资源,生产流程和IT系统)在业务和IT领域中经常进行组织和建模。对这些域进行建模的重点将资产密集型行业的其他重要域置于一边,例如运营技术(OT),该技术直接负责生产和交付公司的商品和服务。OT产生的信息可用于生成对生产绩效的洞察力,从而使有关生产率,其策略以及业务范围内的决策过程更加准确。随着工业物联网(IoT)和云制造等趋势的兴起,寻求在OT网络中融合IT技术的技术,在当今致力于实时数据分析的行业中,OT和IT分析备受追捧。要分析OT和IT领域中的数据,必须使用模型,该模型不仅专注于描述两个领域,还可以显示它们之间的关系。在本文中,我们提出了一种技术,该技术使用组织中产生的运营数据来对OT进行建模,目的是将分析方法应用于企业建模。为此,该技术在目录中对信息,度量和指标进行分类,构造和表征,然后将其用于补充OT元模型。我们为石油和天然气行业说明了该技术,为此我们基于OT元模型建立了OT指标目录,

更新日期:2020-07-16
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