Russian Federation
Russian Federation
UDC 550.8.053
This paper focuses on modern approaches to data integration between geomodeling systems and geoinformation systems (GIS) in the context of digital transformation in the oil and gas industry. It explores the main methods of spatial data exchange, from using open formats to specialized APIs and enterprise platforms. By analyzing existing solutions, the paper identifies their strengths and limitations, including issues related to format compatibility, scalability, semantic preservation, and architectural flexibility. The paper also addresses key challenges such as technological fragmentation, functional deficiencies, and architectural constraints. In conclusion, promising areas of development are proposed: the use of open standards, cloud technologies, machine learning methods, and the concept of a digital twin. The findings can be useful for developing more efficient systems for sharing geospatial data in geological exploration and mining.
Petrel, GIS, spatial data, integration, data exchange, geomodeling, plugin architecture, digital twin of deposits, hybrid geomodeling.
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