天然气生产数据集成整合与智能分析系统

为了提高天然气开发生产实时数据的利用率，在提升数据质量的同时也能够为基层员工减负，中国石油西南西南油气田公司重庆气矿基于“源头采集、智能核准、全面共享”的原则，自主创新开发了生产数据集成整合与智能分析系统；通过该系统实现了对生产数据的整合集成、实时数据派生功能优化、数据自动核准、共享服务等生产数据治理，以及实时趋势多维分析、管输效率分析、清管周期预测等数据深化应用，并在该公司重庆气矿垫江运销部进行了试运行。研究结果表明：①基于油气生产物联网数据、手工录入数据的集成整合模型，进行生产数据变化趋势分析、报表数据自动生成及核准，实现了生产实时数据的集成整合、自动核准、共享服务、多维展示与预警分析，极大地提升了数据的完整性和准确性，全面支撑上层平台及报表系统的应用；②通过对油气生产数据的全面治理，规范了数据来源、提升了数据质量、减少了基层员工多头录入，为该气矿业务数据化、数据业务化以及大数据智能分析应用提供了准确、唯一的数据源，也助推了其上级公司数字化转型与提质增效；③采用趋势告警、大数据智能算法、实时数据库分析函数计算等技术，可以对气井生产、管道运行进行准确、可靠的数据分析与预测，进而为生产制度优化、精细化管理提供有力支撑。结论认为：①高质量的数据对任何企业都是战略性的资产，更是推进油气田数字化转型进程的基础；②井站作为数据采集源头，井站员工处于数据质量管控的第一线，充分利用信息化平台实现数据完整采集与汇集、数据质量的有效管控、数据的多维分析与预警，有助于为下一步大数据应用、智能分析提供完整、准确的“数据资产”奠定坚实的基础。

Natural gas production data integration and intelligent analysis system

In order to increase the utilization rate of real-time data of natural gas development and production and improve data quality while reducing the burden on grass root employees, the Chongqing Division of PetroChina Southwest Oil & Gasfield Company has independently developed a production data integration and intelligent analysis system based on the principle of "source collection, intelligent approval, and comprehensive sharing". By virtue of this system, production data governance (e.g. production data integration, real-time data derivation function optimization, automatic data approval and shared service) and in-depth data application (e.g. real-time trend multi-dimensional analysis, pipeline transmission efficiency analysis, pigging cycle prediction) are realized. And it has been trial run at Dianjiang Transportation and Sales Department of Chongqing Division. And the following research results were obtained. First, the change trend analysis of production data and the automatic generation and approval of report data are conducted based on the integration model of oil and gas production Internet of Things data and manually input data, and thus the integration, automatic approval, shared service, multi-dimensional display and early warning analysis of real-time production data are realized, so as to greatly improve the completeness and accuracy of data and fully support the application of the upper platform and report system. Second, by governing oil and gas production data comprehensively, data source is standardized, data quality is improved and multiple entry in the grass root level is reduced, so as to provide an accurate and unique data source for business datamation, data operation alization and big-data intelligent analysis & application in Chongqing Division and also promote the Company's digital transformation and quality and efficiency improvement. Third, by means of trend warning, big-data intelligent algorithm and real-time database analysis function calculation, accurate and reliable data analysis and prediction can be performed on gas well production and pipeline operation, so as to provide powerful support for production system optimization and fine management. In conclusion, high-quality data is a strategic asset for any company and also the base for promoting the digital transformation process of oil and gas fields. In addition, well station is the source of data collection, and the staff at the well station are the outpost of data quality control. And making full use of the information platform to achieve complete data acquisition and collection, effective data quality control and multi-dimensional data analysis and early warning is conducive to laying a solid foundation to provide complete and accurate "data assets" for big-data application and intelligent analysis in the next step.