<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">UAID</journal-id><journal-title-group><journal-title>Urban Architecture and Development</journal-title></journal-title-group><issn>2995-2441</issn><eissn>2993-270X</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/UAID.2025030039</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>2020-2025年钻井行业设备自动化变革发展探究</title><url>https://artdesignp.com/journal/UAID/3/3/10.61369/UAID.2025030039</url><author>全若玮</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>3</issue><history><date date-type="pub"><published-time>2025-09-20</published-time></date></history><abstract>全球能源结构转型加速背景下，超深井开发占比攀升至32%（IEA,2025），钻井工程面临极端工况与复杂地质耦合的严峻挑战。本研究基于"装备-算法-系统"三级演进路径，构建多源数据驱动的评价体系，揭示自动化技术突破机理。主要发现：1）国际油服企业（如NOV、Schlumberger）智能闭环系统实现参数动态寻优；2）中石化智能钻机在顺北油田达到国际水平，井底压力控制精度达&amp;plusmn;0.8MPa；3）自动化技术推动事故率降低61%，单井成本缩减19%。研究成果为深层碳酸盐岩储层开发提供关键技术决策依据。</abstract><keywords>钻井自动化,智能钻机,闭环控压系统,数字孪生,经济效益</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>&amp;nbsp;[1] SPE. (2023). Closed-Loop Drilling Systems: Lessons from Sichuan Basin. *SPE Journal*, 215689.&amp;nbsp;[2] 江汉工程. (2025). 智能钻机技术白皮书. 北京: 石油工业出版社.&amp;nbsp;[3] IEA. (2025). *World Energy Outlook 2025*. Paris: OECD Publishing.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
