{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T14:40:11Z","timestamp":1762353611875,"version":"build-2065373602"},"reference-count":20,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T00:00:00Z","timestamp":1749168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The National Natural Science Foundation of China","award":["51704253"],"award-info":[{"award-number":["51704253"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>To address the challenges of data fragmentation, inconsistent standards, and weak interactivity in oil and gas field surface engineering, this study proposes an intelligent delivery system integrated with three-dimensional dynamic modeling. Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. The model construction adopts a structured data architecture and dynamic governance strategies, supporting multi-project secure collaboration and full lifecycle data management. At the application level, it integrates three-dimensional visualization and semantic parsing capabilities to achieve interactive display and intelligent analysis of cross-modal data. Validated through practical engineering cases, the platform enables real-time linkage of equipment parameters, documentation, and three-dimensional models, significantly improving data integration efficiency and decision-making capabilities. This advancement drives the transformation of oil and gas field engineering toward intelligent and knowledge-driven practices.<\/jats:p>","DOI":"10.3390\/systems13060447","type":"journal-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T11:08:31Z","timestamp":1749208111000},"page":"447","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering"],"prefix":"10.3390","volume":"13","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[{"name":"Natural Gas Gathering and Transmission Engineering Technology Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixiang","family":"Dai","sequence":"additional","affiliation":[{"name":"Natural Gas Gathering and Transmission Engineering Technology Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taiwu","family":"Xia","sequence":"additional","affiliation":[{"name":"Natural Gas Gathering and Transmission Engineering Technology Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gangping","family":"Chen","sequence":"additional","affiliation":[{"name":"Natural Gas Gathering and Transmission Engineering Technology Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihua","family":"Zhang","sequence":"additional","affiliation":[{"name":"Infrastructure Construction Engineering Department, PetroChina Southwest Oil and Gas Field Company, Chengdu 610031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cui","family":"Liu","sequence":"additional","affiliation":[{"name":"Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"ref_1","first-page":"11","article-title":"Research status and prospect of big Data and intelligent optimization theory and method in intelligent oilfield development","volume":"44","author":"Zhang","year":"2020","journal-title":"J. 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