数据分析应用是企业管理和决策的重要依据。特高含水开发老油田开发后期,随着信息化建设的不断深入,注水数据资源不断丰富,结构更加完善,质量逐步提高,形成了一套较为全面的注水“大数据”,为精细分析平台的搭建提供了有力条件。本文通...数据分析应用是企业管理和决策的重要依据。特高含水开发老油田开发后期,随着信息化建设的不断深入,注水数据资源不断丰富,结构更加完善,质量逐步提高,形成了一套较为全面的注水“大数据”,为精细分析平台的搭建提供了有力条件。本文通过系统梳理注水系统应用需求,规范指标定义和计算方法,模块化建设数据内容,构建形成了一套“源点唯一、标准唯一、一次采集、各级共享”的注水数据精细分析平台,实现了“大数据、云计算、群共享”,为技术管理人员决策提供了数据支撑,精细注水开发管理水平得到提升。The data analysis application is an important basis for enterprise management and decision-making. In the later exploitation stages of superhigh-water cut oil fields, with the continuous advancement of informatization construction, the enrichment of water injection data resources, the improvement of system, and the gradual enhancement of quality, it has formed a set of comprehensive water injection “big data”, which provides strong support for the construction of the refined analysis platform. This article systematically outlines the application requirements of the water injection system, standardizes indicator definitions and calculation methods, modularizes the construction of data content, and constructs the refined analysis platform for water injection data with “unique source, unique standard, one-time collection, and multi-level sharing,” achieving “big data, cloud computing, and collaborative sharing,” providing data support for technical workers to make decision, and improving the level of refined water injection exploitation management.展开更多
文摘数据分析应用是企业管理和决策的重要依据。特高含水开发老油田开发后期,随着信息化建设的不断深入,注水数据资源不断丰富,结构更加完善,质量逐步提高,形成了一套较为全面的注水“大数据”,为精细分析平台的搭建提供了有力条件。本文通过系统梳理注水系统应用需求,规范指标定义和计算方法,模块化建设数据内容,构建形成了一套“源点唯一、标准唯一、一次采集、各级共享”的注水数据精细分析平台,实现了“大数据、云计算、群共享”,为技术管理人员决策提供了数据支撑,精细注水开发管理水平得到提升。The data analysis application is an important basis for enterprise management and decision-making. In the later exploitation stages of superhigh-water cut oil fields, with the continuous advancement of informatization construction, the enrichment of water injection data resources, the improvement of system, and the gradual enhancement of quality, it has formed a set of comprehensive water injection “big data”, which provides strong support for the construction of the refined analysis platform. This article systematically outlines the application requirements of the water injection system, standardizes indicator definitions and calculation methods, modularizes the construction of data content, and constructs the refined analysis platform for water injection data with “unique source, unique standard, one-time collection, and multi-level sharing,” achieving “big data, cloud computing, and collaborative sharing,” providing data support for technical workers to make decision, and improving the level of refined water injection exploitation management.
