智能压裂技术进展及在海外项目的应用

doi:10.3969/j.issn.1002-302X.2025.03.009

摘要/Abstract

摘要： 随着对压裂开发低渗透和非常规油气储层降本增效的要求进一步迫切，智能化已成为推动储层压裂技术发展的重要力量。文章探讨压裂改造技术智能化发展路径，审视压裂技术核心竞争力7大要素智能化发展程度，具体包括压裂现场看不见的2个要素（实验评价与基础理论、优化设计及软件）和压裂现场可见的5个要素（改造装备、液体体系、支撑剂、工具与工艺技术、裂缝监测与诊断技术）。提出智能压裂的终极目标是以最少人工干预完成压裂前评估、双重甜点识别、参数及时优化、工况随时诊断、现场工具材料实时调控、风险超前预警、快速裂缝监测、产量预测和系统压裂后评估。智能压裂在海外项目的推广应用，需要对7大要素重点逐步突破，高频压力裂缝监测与优化设计互动等技术的智能化初步应用已获得重要进展。

关键词: 智能化, 智能压裂, 压裂技术, 核心竞争力

Abstract: It is of great urgency to fracturing development of low-permeability oil and gas reservoirs at lower cost and higher efficiency. Therefore, intelligence holds the key to accelerate reservoir fracturing technological development. This article discusses the intelligent development route of fracturing renovation technology and examines seven core competitive elements for intelligent development of key fracturing technology. They include two elements invisible on the fracturing site (experimental appraisal and basic theory as well as optimization of design and software) and five elements visible on the site (renovation equipment, the liquid system, proppant, tools and process technology, and fracturing monitoring and diagnosis technology). It points out that the ultimate target of intelligent fracturing is to complete a series of work on the basis of the least human intervention, such as pre-fracturing assessment, identification of dual sweet spots, optimization of parameters in time,real-time diagnosis of working conditions, real-time regulation of on-site tools and materials, early warning of risks, rapid fracturing monitoring, prediction of production, and post-fracturing system assessment. Extension of intelligent fracturing in the overseas projects calls for breakthroughs in the seven key elements one by one. Initial application of intelligent fracturing technology has achieved significant results, high-frequency pressured fracture monitoring and interactive optimization design in particular.

Key words: intelligence, intelligent fracturing, fracturing technology, core competitiveness

中图分类号:

TE357

崔明月, 梁冲, 蒋卫东, 朱大伟, 陈彦东, 曹珍妮. 智能压裂技术进展及在海外项目的应用[J]. 石油科技论坛, 2025, 44(3): 76-82.

Cui Mingyue, Liang Chong, Jiang Weidong, Zhu Dawei, Chen Yandong, Cao Zhenni. Progress in Intelligent Fracturing Technology and Its Application in Overseas Projects[J]. Petroleum Science and Technology Forum, 2025, 44(3): 76-82.

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