多学科交叉背景下采油工程技术发展现状与趋势OA

This paper systematically reviews the development stages and status of key oil production engineering domains,including injection-production engineering,artificial lift,reservoir stimulation,and workover operations.The major challenges for oil production engineering are identified in four aspects:intelligent endpoint devices and process integration,extreme-environment operations,and collaborative operational constraints;AI-driven data and modeling complexities,and advanced structural and functional material requirements;and the need for geology-engineering integration in reservoir characterization,operational efficiency and green development.Centered on multidisciplinary integration,the concept of the Oil Production Engineering Agent is introduced as a miniaturized,intelligent,integrated hardware-software system designed for extreme downhole environments and complex conditions,incorporating power supply,communication,sensing,computation,and actuation modules to enable environmental perception,autonomous decision-making and adaptive control.The characteristics of various agent types,including those for injection-production,lift,fracturing and workover,are analyzed,with key research directions identified in miniaturized self-powered energy management,reliable communication in high-interference environments,highly integrated multi-parameter sensing with long-term drift self-calibration,and high-reliability microsystem integration manufacturing.AI-driven decision optimization remains the core feature,requiring advances in data acquisition,governance,and fusion architectures,alongside algorithmic improvements in model performance and deployment compatibility.Additionally,advanced structural and functional materials support agent construction and extreme-environment adaptability,while geoscience-engineering integration continues to expand the functional scope of oil production engineering.