首页> 外文OA文献 >Modelling Oil Pipelines Grid: Neuro-fuzzy Supervision System
【2h】

Modelling Oil Pipelines Grid: Neuro-fuzzy Supervision System

机译:造型油水管网格:神经模糊监管系统

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

One of the major challenges for researchers and governments across the world is reducing resources-waste or loss. Resources loss can happen if there is not a capable control system that contributes to environmental change. The specific aim is to create user-friendly control and monitoring system to reduce the waste in resources. New Artificial intelligence techniques have been introduced to play an important part in developing such systems.udIn oilfields, the oil is extracted then distributed via oil pipes until it reaches the end consumer. This operation will occur without a full and complete monitoring for the oil in the pipeline’s journey to the provider. Although, the existing oilfield monitoring systems can communicate locally but they will not send information back to the main provider. That means the provider is not aware of the whole circumstances happened in the transportation process. That gives the provider no control on the process. For example, a sudden decision from the main provider to stop transporting to a specific destination or knowing where the leakage is and which pipe is leaking in the pipelines grid.udThis paper, introduces for the first-time oilfield pipeline Neuro-fuzzy (NF) supervision system using Simscape simulation software package. This system can be the first step solution to keep real time communication between the main provider and the oil transportation process in the oilfields and enables the provider to have full supervision on the oil pipes grid. The simulation supervision system illustrates a clear real-time oilfield pipeline grid that gives the provider the ability to control and monitor pipeline grid and prioritise the recovering process. The two parameters selected for control and monitoring were volume and pressure. The results in this paper show full control for the NF supervision system on the transportation process.
机译:减少研究人员和政府面临的主要挑战之一是减少资源浪费或损失。如果没有能够促进环境变化的有效控制系统,则可能发生资源损失。具体目标是创建用户友好的控制和监视系统,以减少资源浪费。已引入新的人工智能技术,以在开发此类系统中发挥重要作用。 ud在油田中,石油先经过提取,然后通过油管分配,直至到达最终用户。进行此操作时,将不会对管道通往供应商的石油进行全面而完整的监控。尽管现有的油田监控系统可以在本地进行通信,但它们不会将信息发送回主要提供商。这意味着提供者并不了解运输过程中发生的所有情况。这使提供者无法控制该过程。例如,主要供应商突然决定停止运输到特定的目的地,或者知道泄漏的位置以及管道网格中的哪条管道正在泄漏。 ud本文介绍了油田的首次管道神经模糊(NF) )监控系统使用Simscape仿真软件包。该系统可以作为第一步解决方案,以保持主要提供商与油田中石油运输过程之间的实时通信,并使提供商可以对油管网格进行全面监控。模拟监控系统演示了清晰的实时油田管道网格,使提供者能够控制和监视管道网格并确定恢复过程的优先级。选择用于控制和监视的两个参数是体积和压力。本文的结果显示了对NF监控系统在运输过程中的完全控制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号