油田运营的数字化应用现状与前景分析

Status Quo and Prospect Analysis of Digital Application in Oilfield Operation

结合油田的数字化建设和运营,描述了数字油田的使用场景、总体流程设计,分析了数字油田未来的发展和面临的挑战。研究表明,通过数字技术与勘探、开发、生产等核心业务深度融合,推动生产方式转变和管理流程优化,打造作业现场少人化甚至无人化、油藏研究可视化、生产运营协同化、战略决策科学化为特征的智能化油田趋势是明确的。但是如何更加准确地收集数据,避免数据冗余,如何有效地利用数据制作准确的模型工具,协助实时的诊断和分析,充分发掘数据价值,还缺少比较共识的规范和指引。另外,如何在短期效益和长期的趋势判断、经济效益和社会责任之间找到平衡仍然是一个挑战。

Based on the digital construction and operation of the oilfield where it is located, this paper describes the usage scenarios and overall process design of the digital oilfield, and analyzes the future development and challenges of the digital oilfield. Research shows that through the deep integration of digital technology with core businesses such as exploration, development, and production, the transformation of production methods and the optimization of management processes will be promoted, and the operation site will be less or even unmanned,reservoir research visualization, production and operation collaboration, and strategic decision-making. The trend of intelligent oilfields characterized by science is clear. However, how to collect data more accurately, avoid data redundancy, how to effectively use data to make accurate model tools, assist in real-time diagnosis and analysis,and fully explore the value of data, there is still a lack of consensus norms and guidelines. In addition, how to find a balance between short-term benefits and long-term trend judgment, economic benefits and social responsibility is still a challenge.