Spatial Digital Twin Architecture for the Field Design Process of Oil and Gas Projects in Australia

Article

Bhandari, Sijan, Paudyal, Dev Raj and Chadalavada, Sreeni. 2024. "Spatial Digital Twin Architecture for the Field Design Process of Oil and Gas Projects in Australia ." Land. 13 (7), p. 902. https://doi.org/10.3390/land13070902
Article Title

Spatial Digital Twin Architecture for the Field Design Process of Oil and Gas Projects in Australia

ERA Journal ID201217
Article CategoryArticle
AuthorsBhandari, Sijan, Paudyal, Dev Raj and Chadalavada, Sreeni
EditorsRajabifard, A.
Journal TitleLand
Journal Citation13 (7), p. 902
Number of Pages32
Year2024
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2073-445X
Digital Object Identifier (DOI)https://doi.org/10.3390/land13070902
Web Address (URL)https://www.mdpi.com/2073-445X/13/7/902
Abstract

This paper aims to develop a conceptual system architecture utilising the land survey data model (LSDM) to manage spatial information associated with field design for oil and gas projects. A widely accepted design science research approach was used, which includes five phases as the foundation phase, development phase, implementation phase, demonstration phase, and validation phase. The developed system architecture consists of five major components: data classes and categories, a data management system, map servers, a visualisation system, and users. This study utilised Unified Modelling Language (UML) diagrams, such as use case, and sequence diagrams to illustrate the relationship between the developed architecture and the field design process and demonstrate workflow and its interaction with stakeholders. A prototype was developed to demonstrate the viability of developed conceptual system architecture. Furthermore, a study area situated near a mining town Chinchilla at the Western Down Regional Council, Queensland, Australia, was selected to validate the prototype in the real world. This study provides a theoretical contribution towards Industrial Revolution 4.0, aiding enhanced decision-making processes within the oil and gas industry and the more effective management of energy resources.

Keywordsdigital twin; oil and gas; system architecture; land survey data model; mining geomatics
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020401302. Geospatial information systems and geospatial data modelling
401905. Mining engineering
Byline AffiliationsSchool of Surveying and Built Environment
School of Engineering
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