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Study on the Optimization of the Smart Oilfield Construction

机译:智能油田建设优化研究

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摘要

Although the current intelligent oilfield construction is based on the network and other technology such as the internet of things, it is embodied mainly by individual system, based on fixed localized platform, or established solutions for a particular user. Operating system, remote decision-making system and risk early warning system are just an independent system. Using the simple cloud computing, there is no conformity in a same platform. By integrating the existing historical drilling data together, effectively using the visual and data-mining technology to realize the compositive mode of management, construction and maintain of the operations, and the controlling of the longitudinal and transverse data. To form the experience-sharing mode of dynamic information, make a comprehensive perception and automatic control of the oilfield, and strengthen the guide of the application. Enriching the ways that solving the problems originally only depend on the experience of the experts, and making the locality, individuality, discrete, relatively isolated data effectively be organized and managed, then integrating the professional data which has the valuable information. Furthermore, predict the trend of the oilfield's development, explore a sustainable way of smart oilfield's developing featuring, and promote the production to a new stage and better the decision-making optimization of the oilfield.
机译:虽然目前的智能油田建设基于网络和其他技术等技术,但它主要由各个系统体现,基于固定的本地化平台,或为特定用户建立的解决方案。操作系统,远程决策系统和风险预警系统只是一个独立的系统。使用简单的云计算,在同一平台中没有符合性。通过将现有的历史钻探数据集成在一起,有效地使用视觉和数据挖掘技术来实现管理,构建和维护的集成模式,以及控制纵向和横向数据。为了形成动态信息的经验共享模式,对油田进行全面的感知和自动控制,并加强应用指南。丰富解决问题的方式最初仅取决于专家的经验,并使地区,个性,离散,相对隔离的数据有效地组织和管理,然后整合具有有价值信息的专业数据。此外,预测油田发展的趋势,探索了智能油田的发展方式,促进了新阶段的生产,并更好地提供了油田的决策优化。

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