机构地区:[1]国家管网集团油气调控中心 [2]中国石油大学(北京)机械与储运工程学院·油气管道输送安全国家工程研究中心·城市油气输配技术北京市重点实验室
出 处:《油气储运》2024年第10期1129-1137,共9页Oil & Gas Storage and Transportation
基 金:国家管网集团科学研究与技术开发项目“天然气管网智能调控辅助工具研发及试点应用”,YQDKZX-2023-KJ-3。
摘 要:【目的】为充分挖掘天然气管网运行数据价值,解决管网运行数据价值密度低、数据源异构性强、数据采集汇聚不全面、流通共享不充分、开发应用不深化、治理安全短板突出等问题,国家管网集团油气调控中心自主搭建了天然气管网运行数据应用平台。【方法】该平台充分利用自动化数据采集与关键设备远程控制技术,通过关系型数据库完成底层数据结构的搭建,实现对天然气管网运行态势的全景感知;通过具有底层统一特征的数据交换技术来挖掘管网运行数据价值、优化运行数据结构、整合管网运行数据资产。此外,该平台进一步优化了生产运行数据的展示界面,极大降低了数据查询相关操作量,可协助运行管理与分析人员快速掌握管网实时生产信息、运行情况及历史数据,并采用深度学习算法和特征增强技术开展了天然气管网关键气量预测。【结果】天然气管网运行数据应用平台的建成促进了SCADA数据、管道中间数据、生产运行管理数据、台账报表、仿真优化数据的交互共享,形成管网系统物理参数数据库,实现了多源-多尺度高维数据共享规范应用,并提高了数据利用水平。【结论】天然气管网运行数据应用平台的高效利用可以显著提升国家管网集团油气调控中心的数据应用水平,增强管网管控与应急保供能力,助力集团公司数字化转型以及智慧管网、智能管道、智能调控的建设。[Objective]The PipeChina Oil&Gas Control Center has independently developed an application platform for the operational data of its natural gas pipeline network,in an attempt to fully explore the value of network operational data and to address issues such as low data value density,significant heterogeneity of data sources,incomplete data acquisition and aggregation,insufficient data circulation and sharing,a lack of in-depth development and application,and notable weaknesses in data governance and security.[Methods]The underlying data structure of this platform was constructed using a relational database,fully leveraging the automated data acquisition process and remote control technology of key equipment.This structure enables a panoramic perception of the network’s operational dynamics.Further research and development efforts led to the creation of data exchange technology with unified lower features,aimed at exploring the value of operational data within its network,optimizing the data structure,and integrating data assets.Additionally,the display interfaces for production and operational data were optimized,significantly reducing the workload associated with data queries and enabling operation management and analysis personnel to quickly access real-time production information,operational status,and historical data for these pipelines.Furthermore,deep learning algorithms and feature enhancement technologies were introduced to support the prediction of key gas volume parameters in the natural gas pipeline network.[Results]The application platform established for operational data of the natural gas pipeline network facilitates the interactive sharing of various data types,including SCADA data,intermediate pipeline data,production and operational management data,ledgers,statements,and simulation optimization data.It also supports the creation of a physical parameter database for the pipeline network system.This setup enables the standardized application of multi-source and multi-scale high-dimensional data sh
关 键 词:天然气管网 运行数据 应用平台 油气调控中心 数据挖掘 数据价值
分 类 号:TE832[石油与天然气工程—油气储运工程]
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