FORMALIZATION OF GEOSPATIAL DATA AND DIGITAL INFORMATIONAL MODEL SYNCHRONIZATION PROCEDURE

The article focuses on applying digital informational models (DIM) in the oil and gas industry of Russia and synchronization methods for data exchange between geographic information systems (GIS) and DIM. Given global digitization trends and limited access to foreign software solutions (SS), Russian oil and gas companies actively employ DIM for infrastructure management. The authors emphasize the importance of implementing DIM for effective control over fields, pipelines, and refining plants while highlighting challenges arising from data inconsistencies among different systems and paying specific attention to selecting tools for implementing GIS based on domestic and open-source solutions. The authors discuss various popular open-source programs such as QGIS, PostgreSQL with PostGIS, GeoServer, OpenLayers, and GRASS GIS as potential candidates for corporate GIS deployment. The paper explores the issue of exchanging data formats between DIM and GIS, focusing on the IFC standard commonly used in construction; examines approaches to synchronizing attribute information between DIM and GIS, including representation examples using an oil pipeline. A proposed mechanism for data synchronization includes modifications to database structures and content updates, ensuring each object receives a unique identifier (UID). This approach simplifies the procedure for forming a unified information space within the company. In conclusion, the relevance of joint usage of DIM and geospatial data in organizations is emphasized, outlining future prospects like building libraries of 3D objects and integrating IoT systems for monitoring infrastructure.

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Publication Details

Journal
Automation and modeling in design and management of
Published
2025-06-30
DOI
https://doi.org/10.30987/2658-6436-2025-2-65-73
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

FORMALIZATION OF GEOSPATIAL DATA AND DIGITAL INFORMATIONAL MODEL SYNCHRONIZATION PROCEDURE

D. V. Blinova, Dmitriy Krivosheev
Automation and modeling in design and management of
Advanced Computational Techniques and Applications
article

FORMALIZATION OF GEOSPATIAL DATA AND DIGITAL INFORMATIONAL MODEL SYNCHRONIZATION PROCEDURE

D. V. Blinova, Dmitriy Krivosheev
article en

Abstract

The article focuses on applying digital informational models (DIM) in the oil and gas industry of Russia and synchronization methods for data exchange between geographic information systems (GIS) and DIM. Given global digitization trends and limited access to foreign software solutions (SS), Russian oil and gas companies actively employ DIM for infrastructure management. The authors emphasize the importance of implementing DIM for effective control over fields, pipelines, and refining plants while highlighting challenges arising from data inconsistencies among different systems and paying specific attention to selecting tools for implementing GIS based on domestic and open-source solutions. The authors discuss various popular open-source programs such as QGIS, PostgreSQL with PostGIS, GeoServer, OpenLayers, and GRASS GIS as potential candidates for corporate GIS deployment. The paper explores the issue of exchanging data formats between DIM and GIS, focusing on the IFC standard commonly used in construction; examines approaches to synchronizing attribute information between DIM and GIS, including representation examples using an oil pipeline. A proposed mechanism for data synchronization includes modifications to database structures and content updates, ensuring each object receives a unique identifier (UID). This approach simplifies the procedure for forming a unified information space within the company. In conclusion, the relevance of joint usage of DIM and geospatial data in organizations is emphasized, outlining future prospects like building libraries of 3D objects and integrating IoT systems for monitoring infrastructure.

Automation and modeling in design and management of
Openalex Percentile: Top 92%
Advanced Computational Techniques and Applications
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