基于模型的智能油田应用集成框架研究

Cong Zhang, A. Bakshi, V. Prasanna, W. D. Sie
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引用次数: 3

摘要

对具有成本效益的油气生产的需求不断增长,导致整个行业都在推动未来智能油田的开发。智能油田应用具有数据资源异构、业务流程复杂、用户业务需求不断变化等特点。现有的软件开发过程和技术已经越来越不能管理如此复杂的软件系统。基于模型的集成框架基于特定于领域的建模语言和公共模型数据库。它们为应用程序提供了代码和设计的可扩展性、模块化和可重用性的好处。本文描述了一类油田应用的原型集成框架。为了演示集成框架的优点,我们将展示如何以系统的方式在框架中开发和集成应用程序
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a Model-based Application Integration Framework for Smart Oilfields
The increasing demand for cost-effective oil and gas production has led to an industry-wide push to develop smart oilfields for the future. Applications for smart oilfields are characterized with heterogeneous data and resources, complicated business processes, and changing business requirements from users. Existing software development process and techniques have become increasingly incapable of managing such complex software systems. Model-based integration frameworks are based on a domain-specific modeling language and a common model database. They offer the benefits of extensibility, modularity, and reusability of both code and design to the applications. In this paper, we describe a prototype integration framework for a class of oilfield applications. To demonstrate the advantages of the integration framework, we show how applications are developed and integrated in the framework in a systematic manner
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