钻完井大数据特点与应用方案研究

Study on characteristics and application scheme of big data in drilling and completion

耿黎东

GENG Lidong

中国石化石油工程技术研究院

SINOPEC Research Institute of Petroleum Engineering, Beijing 100101, China

大数据技术正逐步成为石油公司提高生产效率、减少非生产时间、降低生产成本的有效途径。为了促进大数据技术在钻完井领域的快速发展和广泛应用，分析了大数据技术在钻完井领域的需求，介绍了大数据在钻完井领域的发展现状，阐述了钻完井大数据的内容和特点，从钻完井大数据技术总体框架和应用场景两个方面设计了基于大数据的钻完井优化应用方案。建议借鉴国外钻完井大数据技术成功经验，建立统一的大数据分析平台，结合钻完井大数据的自身特点，针对具体应用场景部署相关项目，进一步优化钻完井大数据的应用架构和应用场景设计。

As one of the disruptive technologies in the field of information science, big data is gradually becoming an effective way for oil companies to increase production efficiency and reduce non-production time and cost. To promote the rapid development and wide application of big data in the field of drilling and completion, this article analyzes the requirement of big data technology in drilling and completion. The development status of drilling and completion big data is introduced. The content and characteristics of drilling and completion big data are elaborated. The drilling and completion optimization program is designed from the aspects of the overall framework and application scenarios. It is recommended to draw the successful foreign big data experience and establish a unified big data analysis platform. The characteristics of big data should be combined. The related projects should be deployed aiming at specific application scenarios. The application framework and scenario design of drilling and completion big data should be further optimized.

10.13639/j.odpt.2022.01.014