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As the surface conditions of seismic acquisition work areas become increasingly complex, traditional geophysical exploration production management is faced with numerous challenges, such as integrated management and display based on a unified spatiotemporal benchmark, time-consuming identification of typical surface obstacles in complex terrain, lack of production model and simulation functions, existing software being inadequate for data sharing, three-dimensional visualization, and other demands. These challenges impact the management of geophysical exploration construction information and decision support. To address these issues, it is necessary to develop a geophysical exploration construction information management system based on digital twin technology, which will realize functions including data integration and display, AI terrain recognition, and production simulation, thereby improving the precision and efficiency of seismic acquisition.