An Ontology for Offshore Oil & Gas Decommissioning

Adam Alexander Arfaoui; Alireza Maheri; Ana Ivanovic; Wamberto Vasconcelos

An Ontology for Offshore Oil & Gas Decommissioning

Adam Alexander Arfaoui, Alireza Maheri, Ana Ivanovic, Wamberto Vasconcelos

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

Planning offshore oil & gas decommissioning requires decision making based on expert domain knowledge. As more tools are developed to assist planners in simulating operations, there is an increased need for data models that can accurately represent the domain. The application of semantic web technologies has recently been suggested as a possible method to achieve this. The following paper outlines the creation of an Offshore Decommissioning Oil & Gas Ontology (ODOGO) using the OWL 2 web ontology language. This initially proposed version focuses on representing offshore site data and acts as a precursor to the development of a decommissioning decision support tool. An explanation of the keyword analysis, data modelling and visualisation steps that were employed to produce the schema is given. Use of ODOGO is illustrated using a case study of a decommissioning project set in the North Sea. Results of this study confirm the capabilities of using semantic data models to manage data for the decommissioning domain.

Original language	English
Title of host publication	International Conference on the Decommissioning of Offshore & Subsea Structures DECOM 2020
Subtitle of host publication	Proceedings
Pages	61-74
Number of pages	14
Publication status	Published - 1 Jan 2021
Event	2nd International Conference on the Decommissioning of Offshore & Subsea Structures: DECOM 2020 - Aberdeen, United Kingdom Duration: 30 Mar 2020 → 31 Mar 2020 https://northsearegion.eu/decomtools/events/2nd-international-conference-on-the-decommissioning-of-offshore-subsea-structures/

Conference

Conference	2nd International Conference on the Decommissioning of Offshore & Subsea Structures
Abbreviated title	DECOM 2020
Country/Territory	United Kingdom
City	Aberdeen
Period	30/03/20 → 31/03/20
Internet address	https://northsearegion.eu/decomtools/events/2nd-international-conference-on-the-decommissioning-of-offshore-subsea-structures/

Bibliographical note

This research is supported by the Oil and Gas Technology Centre (OGTC) in partnership with the National Decommissioning Centre.

Keywords

Decommissioning
Ontology
Data Management
Offshore Oil & Gas
Semantic Web

National Decommissioning Centre
Richard Neilson (Manager)
Engineering
Research Facilities: Centre

Cite this

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title = "An Ontology for Offshore Oil & Gas Decommissioning",

abstract = "Planning offshore oil & gas decommissioning requires decision making based on expert domain knowledge. As more tools are developed to assist planners in simulating operations, there is an increased need for data models that can accurately represent the domain. The application of semantic web technologies has recently been suggested as a possible method to achieve this. The following paper outlines the creation of an Offshore Decommissioning Oil & Gas Ontology (ODOGO) using the OWL 2 web ontology language. This initially proposed version focuses on representing offshore site data and acts as a precursor to the development of a decommissioning decision support tool. An explanation of the keyword analysis, data modelling and visualisation steps that were employed to produce the schema is given. Use of ODOGO is illustrated using a case study of a decommissioning project set in the North Sea. Results of this study confirm the capabilities of using semantic data models to manage data for the decommissioning domain.",

keywords = "Decommissioning, Ontology, Data Management, Offshore Oil & Gas, Semantic Web",

author = "Arfaoui, {Adam Alexander} and Alireza Maheri and Ana Ivanovic and Wamberto Vasconcelos",

note = "This research is supported by the Oil and Gas Technology Centre (OGTC) in partnership with the National Decommissioning Centre.; 2nd International Conference on the Decommissioning of Offshore & Subsea Structures : DECOM 2020, DECOM 2020 ; Conference date: 30-03-2020 Through 31-03-2020",

year = "2021",

month = jan,

day = "1",

language = "English",

isbn = "978-1-8383226-0-1",

pages = "61--74",

booktitle = "International Conference on the Decommissioning of Offshore & Subsea Structures DECOM 2020",

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T1 - An Ontology for Offshore Oil & Gas Decommissioning

AU - Arfaoui, Adam Alexander

AU - Maheri, Alireza

AU - Ivanovic, Ana

AU - Vasconcelos, Wamberto

N1 - This research is supported by the Oil and Gas Technology Centre (OGTC) in partnership with the National Decommissioning Centre.

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Planning offshore oil & gas decommissioning requires decision making based on expert domain knowledge. As more tools are developed to assist planners in simulating operations, there is an increased need for data models that can accurately represent the domain. The application of semantic web technologies has recently been suggested as a possible method to achieve this. The following paper outlines the creation of an Offshore Decommissioning Oil & Gas Ontology (ODOGO) using the OWL 2 web ontology language. This initially proposed version focuses on representing offshore site data and acts as a precursor to the development of a decommissioning decision support tool. An explanation of the keyword analysis, data modelling and visualisation steps that were employed to produce the schema is given. Use of ODOGO is illustrated using a case study of a decommissioning project set in the North Sea. Results of this study confirm the capabilities of using semantic data models to manage data for the decommissioning domain.

AB - Planning offshore oil & gas decommissioning requires decision making based on expert domain knowledge. As more tools are developed to assist planners in simulating operations, there is an increased need for data models that can accurately represent the domain. The application of semantic web technologies has recently been suggested as a possible method to achieve this. The following paper outlines the creation of an Offshore Decommissioning Oil & Gas Ontology (ODOGO) using the OWL 2 web ontology language. This initially proposed version focuses on representing offshore site data and acts as a precursor to the development of a decommissioning decision support tool. An explanation of the keyword analysis, data modelling and visualisation steps that were employed to produce the schema is given. Use of ODOGO is illustrated using a case study of a decommissioning project set in the North Sea. Results of this study confirm the capabilities of using semantic data models to manage data for the decommissioning domain.

KW - Decommissioning

KW - Ontology

KW - Data Management

KW - Offshore Oil & Gas

KW - Semantic Web

M3 - Published conference contribution

SN - 978-1-8383226-0-1

SP - 61

EP - 74

BT - International Conference on the Decommissioning of Offshore & Subsea Structures DECOM 2020

T2 - 2nd International Conference on the Decommissioning of Offshore & Subsea Structures

Y2 - 30 March 2020 through 31 March 2020

ER -

An Ontology for Offshore Oil & Gas Decommissioning

Abstract

Conference

Bibliographical note

Keywords

Fingerprint

Equipment

National Decommissioning Centre

Cite this