吴钧,于晓红,王权,田雪松,王如意
WU Jun,YU Xiaohong,WANG Quan,TIAN Xuesong,WANG Ruyi

• 1:大庆油田有限责任公司勘探开发研究院
• 2:大庆油田有限责任公司页岩油勘探开发指挥部
• 3:中国石油集团工程技术研究院有限公司

摘要(Abstract)：

为建立勘探开发一体化、地质工程一体化、生产经营一体化的组织和运行方式,实现古龙页岩油的经济有效开发,系统分析大数据、人工智能和数字孪生技术在地质研究、生产运行、经营管理等领域的应用潜力,创新设计了全息智能生态系统总体架构和全生命周期管理系统、大数据智能分析系统、数字孪生应用系统3个系列产品。通过混合架构应用开发和运维、云计算资源集成服务、动静态数据一体化存储、大数据智能分析、工作流程管理、数据和模型可视化和一体化应用集成技术研究,开发了全息智能生态系统V1.0版本。实践应用表明,采用大系统设计、平台化开发、一体化应用模式,能够有效固化优化技术和管理流程,提升数据治理能力,促进多专业协同,加快地质、实验、钻井、压裂多方面研究和生产节奏,实现"少人、提质、增效"作用。通过关键技术集成配套,自主可控,形成一套具有工业化可复制和快速推广能力的智能油田关键技术体系。该成果对实现油田"数字化转型、智能化发展"起到示范和引领作用。
In order to establish organization and operation mode of exploration-development integration, geoscience-engineering integration and production-management integration, and realize economic development of Gulong shale oil, this paper systematically analyzes application potential of big data, artificial intelligence and digital twin technology in the fields of research, production and operation. 3 series of innovative products are designed including overall architecture of holographic intelligent ecosystem and whole life-cycle management system, big data intelligent analysis system and digital twin application system. Holographic intelligent ecosystem version 1.0 is developed through research of hybrid architecture development and operation and maintenance, cloud computing resource integration services, integrated storage of dynamic and static data, big data intelligent analysis, process management, data and model visualization and integrated application technology. Application shows that adoption of large-scale system design, platform development and integrated application mode can effectively solidify and optimize technology and management process, improve data governance capability, promote multidisciplinary collaboration, accelerate research and production optimization of geology, experiment, drilling and fracturing, and achieve significant effect of "reducing labor, improving quality and increasing efficiency". A set of intelligent oilfield key technology system with industrialized replicable and rapid generalization ability is formed through independent and controllable key technology integration. This achievement plays a demonstration and leading role in "digital transformation and intelligent development" of oilfield.

关键词(KeyWords)： 古龙页岩油;全息智能生态系统;大数据智能分析;地质工程一体化;数字化转型
Gulong shale oil;holographic intelligent ecosystem;geoscience and engineering integration;big data intelligent analysis;digital transformation

Abstract:

Keywords:

基金项目(Foundation): 中国石油天然气股份有限公司重大科技专项“大庆古龙页岩油勘探开发理论与关键技术研究”(2021ZZ10)

作者(Author): 吴钧,于晓红,王权,田雪松,王如意
WU Jun,YU Xiaohong,WANG Quan,TIAN Xuesong,WANG Ruyi

DOI: 10.19597/J.ISSN.1000-3754.202107031

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