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Research of Visualization Intelligent Decision Support System for Drilling Risk Control

机译:钻井风险控制可视化智能决策支持系统的研究

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There were many lacks in traditional risk control systems,for example,the systems were mostly based on static information from ground, thereby difficult to accurately distinguish the actual situation “down hole” in real time,they could only solve a sole factor risk control problem,and moreover,their information was not intuitively revealed and could not be shared. So this paper proposes a Visualization Intelligent Decision Support System for Drilling Risk Control. A risk visualization analysis GIS system and intelligent decision-making models of risk control are built by use of Web GIS,case-based reasoning and network communication techniques. And an information-sharing and visualization decision-making support platform is provided for multi-domain experts and technicians in different locations to make cooperative decisions. The platform, which makes full use of all types of information as well as a variety of existing risk control methods,techniques,cases,multi-domain experts'' experience and knowledge,can intuitively reveal the well location and distribution regularity of various types of potential risk in exploration area. In addition,it can achieve decision-making control of all risks in drilling engineering. This can improve risk decision-making and control in terms of science, accuracy and real-time. Details are provided about the architecture''design and key techniques of the system in this paper, including the building of intelligent decision-making models, asynchronous communication between the client and server,visualization of risk analysis, speedy loading and display of the map, and so forth.
机译:传统的风险控制系统存在很多不足,例如,这些系统大多基于地面的静态信息,因此难以实时准确地识别出“井下”的实际情况,只能解决单一因素的风险控制问题。 ,此外,他们的信息没有直观地显示出来并且无法共享。因此,本文提出了一种可视化的钻井风险控制智能决策支持系统。利用Web GIS,基于案例的推理和网络通信技术,构建了风险可视化分析GIS系统和风险控制智能决策模型。并提供了一个信息共享和可视化决策支持平台,供位于不同位置的多领域专家和技术人员进行合作决策。该平台充分利用各种类型的信息以及各种现有的风险控制方法,技术,案例,多领域专家的经验和知识,可以直观地揭示各种类型风险的井位和分布规律。勘探区的潜在风险。此外,它还可以实现对钻探工程中所有风险的决策控制。这可以从科学,准确性和实时性方面改善风险决策和控制。本文详细介绍了系统的体系结构设计和关键技术,包括智能决策模型的构建,客户端与服务器之间的异步通信,可视化的风险分析,快速加载和显示地图,等等。

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