Content area
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.
Details
Construction;
Data processing;
Fire protection;
Collaboration;
Digital transformation;
Oil fields;
Digital twins;
Knowledge;
Optimization;
Three dimensional models;
Structured data;
Knowledge management;
Design;
Engineering;
Data integration;
Anomalies;
Modal data;
Real time;
Dynamic models;
Gas industry;
Efficiency;
Semantics
1 Natural Gas Gathering and Transmission Engineering Technology Research Institute, PetroChina Southwest Oil and Gas Field Company, Chengdu 610041, China; [email protected] (Z.D.); [email protected] (T.X.); [email protected] (G.C.)
2 Infrastructure Construction Engineering Department, PetroChina Southwest Oil and Gas Field Company, Chengdu 610031, China; [email protected]
3 Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China; [email protected]