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A New Approach to Knowledge Capture: Center of Excellence for Sand Control Completions as a Model

机译:知识捕获的一种新方法:作为模型的沙子控制完成卓越中心

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In large global organizations, experts who collaborate with their colleagues in the Digital Oilfield of the Future (DOFF) are geographically dispersed and mobile. Their time is precious and they cannot readily be distracted from their primary functions to participate in traditional knowledge-capture activities. Therefore, it is extremely desirable to automatically identify these experts, capture and codify their knowledge, and provide access to them from anywhere in the world at the time their knowledge is needed. This paper describes a new approach to this challenge. We investigated a number of approaches including a prototype system to automatically identify communities of interest, capture and index the electronic documents relevant to the community of interest, and populate a globally accessible "knowledge space." This knowledge space provides a mechanism to access the relevant experts in real time using location-/presence-aware collaboration tools. We evaluated this method in the context of establishing a Center of Excellence for Sand Control Completions. In establishing this Center, we began using conventional techniques. This initiative, however, was also viewed more strategically — as a vehicle for establishing "a new way of doing business," and it also served as a platform for testing approaches that would allow us to rapidly deploy the solution to other domains. This exercise demonstrated that significant improvements can be made in collecting, organizing and disseminating actionable knowledge from a dispersed community of technical experts. It also provides a real-time mechanism for leveraging the implicit knowledge of these experts in a globally mobile workforce. This has significant relevance in the DOFF arena as it enables an organization to "know what it knows" with less effort than traditional knowledge management and collaboration tools.
机译:在大型全球组织中,与他们未来数字油田的同事合作的专家(Doff)是地理位置分散和移动。他们的时间是珍贵,他们无法轻易分散他们的主要功能,以参与传统的知识捕获活动。因此,非常希望自动识别这些专家,捕获和编纂他们的知识,并在需要时,从世界上的任何地方提供对他们的访问权限。本文介绍了这一挑战的新方法。我们调查了许多方法,包括原型系统,以自动识别感兴趣的社区,捕获和索引与兴趣社区相关的电子文件,并填充全球可访问的“知识空间”。此知识空间提供了一种使用位置/存在感知协作工具实时访问相关专家的机制。我们在建立沙控完成卓越中心的背景下评估了这种方法。在建立这个中心时,我们开始使用传统技术。然而,这项计划也被更具策略性地查看 - 作为建立“新的业务方式”的车辆,它还作为测试方法的平台,以便我们将解决方案迅速部署到其他域。本练习表明,可以在从分散的技术专家群落中收集,组织和传播可行知识进行显着改进。它还提供了一个实时机制,用于利用全球移动劳动力在全球移动劳动力中对这些专家的隐性了解。这在Doff Arena中具有显着的相关性,因为它使组织能够“知道它所知”,而不是传统知识管理和协作工具的努力。

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