石油勘探领域大数据技术研究综述

Ke Hou, Xinhao Li, Mingcheng Guo
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引用次数: 0

摘要

在大数据时代,石油行业丰富的数据资源不仅为石油企业的生产和科研提供辅助决策支持,而且在企业数字化转型中发挥着至关重要的作用。本文从石油勘探数据管理技术的角度出发,通过梳理相关文献,将其过去的发展历程分为数据库技术阶段、数据仓库技术阶段、数据湖技术阶段、数据集成平台阶段以及大数据技术的特殊应用。目前处于数据中办建设的初级阶段。需要解决的核心问题是将计算类型与最合适的计算框架匹配起来,优化计算资源的配置,充分发挥数据中台的处理能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Research on Big Data Technology in the Field of Petroleum Exploration
In the era of big data, the rich data resources of the petroleum industry not only provide auxiliary decision-making support for the production and scientific research of petroleum enterprises, but also play a vital role in the digital transformation of enterprises. From the perspective of petroleum exploration data management technology, this paper divides its past development process into database technology stage, data warehouse technology stage, data lake technology stage, data integration platform stage, and special application of big data technology by combing the relevant literature. At present, it is in the initial stage of the construction of the data middle office. The core problem that needs to be solved is to match the calculation type with the most suitable computing framework, optimize the allocation of computing resources, and give full play to the processing capabilities of the data middle office.
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