Development status and trends of oil production engineering technology in the context of interdisciplinary integration

IF 10.7 Q1 ENERGY & FUELS
Petroleum Exploration and Development Pub Date : 2026-06-01 Epub Date: 2026-06-29 DOI:10.1016/S1876-3804(26)60730-6
He LIU, Xu JIN, Qinghai YANG, Xiaoqi WANG, Siwei MENG
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引用次数: 0

Abstract

This paper systematically reviews the development stages and current 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 terminal equipment and process integration, extreme-environment operations, and collaborative operational constraints; AI-driven data and modeling complexities, and advanced structural and functional materials 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, and 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 geology-engineering integration continues to expand the functional scope of oil production engineering.
跨学科融合背景下采油工程技术的发展现状与趋势
本文系统综述了注采工程、人工举升、油藏增产、修井等重点采油工程领域的发展阶段和现状。采油工程面临的主要挑战体现在四个方面:智能终端设备与工艺集成、极端环境作业、协同作业约束;人工智能驱动的数据和建模复杂性,以及先进的结构和功能材料要求;在储层表征、作业效率和绿色开发等方面需要地工一体化。以多学科集成为中心,引入了采油工程代理的概念,作为一种小型化、智能化、集成化的软硬件系统,专为极端井下环境和复杂条件而设计,集成了电源、通信、传感、计算和驱动模块,可实现环境感知、自主决策和自适应控制。分析了注采、举升、压裂、修井等各类agent的特点,确定了小型化自供电能源管理、高干扰环境下的可靠通信、具有长期漂移自校准的高集成多参数传感、高可靠性微系统集成制造等重点研究方向。人工智能驱动的决策优化仍然是核心功能,需要在数据采集、治理和融合架构方面取得进步,以及在模型性能和部署兼容性方面的算法改进。此外,先进的结构和功能材料支持代理商施工和极端环境适应性,而地质工程集成不断扩大采油工程的功能范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.50
自引率
0.00%
发文量
473
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