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<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">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i6.13170</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Collaborative Optimization of the Upgrading, Transformation and Maintenance of Large Equipment for Offshore Oil Extraction</title><url>https://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13170</url><author>GuoYanhong</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-12-16</published-time></date></history><abstract>This study investigates the collaborative optimization of upgrading, retrofitting, and maintaining large offshore oil extraction equipment. It examines the key challenges and interdependencies inherent in these processes and proposes integrated solutions, including sensor-network-based monitoring and digital twin-driven management platforms. The findings demonstrate notable improvements in operational efficiency and reductions in equipment downtime, underscoring both the economic and safety benefits of the proposed approach and providing a reference framework for future optimization strategies in offshore engineering.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhang Y, Liu Q, Wang H, 2021, Collaborative Optimization of Maintenance and Upgrade for Offshore Oil Equipment based on Digital Twin. 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