Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach

Omar Khaled Fadhl Ali Al-Eryani; Gülgün Kayakutlu; Zeynep Bektas; M. Özgür Kayalica

doi:10.1007/978-3-031-50485-3_18

Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach

Omar Khaled Fadhl Ali Al-Eryani, Gülgün Kayakutlu^*, Zeynep Bektas, M. Özgür Kayalica

^*Corresponding author for this work

Department of Management Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study explores how grid technology can help improve oil fields’ power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields’ power distribution, followed by the smart grid, the microgrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.

Original language	English
Title of host publication	Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings
Editors	Sławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, Mauro Vallati, Paweł Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomáš Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	187-193
Number of pages	7
ISBN (Print)	9783031504846
DOIs	https://doi.org/10.1007/978-3-031-50485-3_18
Publication status	Published - 2024
Event	International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 - Kraków, Poland Duration: 30 Sept 2023 → 4 Oct 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1948 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023
Country/Territory	Poland
City	Kraków
Period	30/09/23 → 4/10/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Fuzzy Decision-Making
Fuzzy TOPSIS
Oil Fields
Power Distribution
Power Grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-50485-3_18

Cite this

Al-Eryani, O. K. F. A., Kayakutlu, G., Bektas, Z., & Kayalica, M. Ö. (2024). Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach. In S. Nowaczyk, P. Biecek, N. C. Chung, M. Vallati, P. Skruch, J. Jaworek-Korjakowska, S. Parkinson, A. Nikitas, M. Atzmüller, T. Kliegr, U. Schmid, S. Bobek, N. Lavrac, M. Peeters, R. van Dierendonck, S. Robben, E. Mercier-Laurent, G. Kayakutlu, M. L. Owoc, K. Mason, A. Wahid, P. Bruno, F. Calimeri, F. Cauteruccio, G. Terracina, D. Wolter, J. L. Leidner, M. Kohlhase, ... V. Dimitrova (Eds.), Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings (pp. 187-193). (Communications in Computer and Information Science; Vol. 1948 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-50485-3_18

Al-Eryani, Omar Khaled Fadhl Ali ; Kayakutlu, Gülgün ; Bektas, Zeynep et al. / Merging Grid Technology with Oil Fields Power Distribution : A Smart Grid Approach. Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings. editor / Sławomir Nowaczyk ; Przemysław Biecek ; Neo Christopher Chung ; Mauro Vallati ; Paweł Skruch ; Joanna Jaworek-Korjakowska ; Simon Parkinson ; Alexandros Nikitas ; Martin Atzmüller ; Tomáš Kliegr ; Ute Schmid ; Szymon Bobek ; Nada Lavrac ; Marieke Peeters ; Roland van Dierendonck ; Saskia Robben ; Eunika Mercier-Laurent ; Gülgün Kayakutlu ; Mieczyslaw Lech Owoc ; Karl Mason ; Abdul Wahid ; Pierangela Bruno ; Francesco Calimeri ; Francesco Cauteruccio ; Giorgio Terracina ; Diedrich Wolter ; Jochen L. Leidner ; Michael Kohlhase ; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2024. pp. 187-193 (Communications in Computer and Information Science).

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title = "Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach",

abstract = "This study explores how grid technology can help improve oil fields{\textquoteright} power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields{\textquoteright} power distribution, followed by the smart grid, the microgrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.",

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note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 ; Conference date: 30-09-2023 Through 04-10-2023",

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Al-Eryani, OKFA, Kayakutlu, G, Bektas, Z & Kayalica, MÖ 2024, Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach. in S Nowaczyk, P Biecek, NC Chung, M Vallati, P Skruch, J Jaworek-Korjakowska, S Parkinson, A Nikitas, M Atzmüller, T Kliegr, U Schmid, S Bobek, N Lavrac, M Peeters, R van Dierendonck, S Robben, E Mercier-Laurent, G Kayakutlu, ML Owoc, K Mason, A Wahid, P Bruno, F Calimeri, F Cauteruccio, G Terracina, D Wolter, JL Leidner, M Kohlhase & V Dimitrova (eds), Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings. Communications in Computer and Information Science, vol. 1948 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 187-193, International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023, Kraków, Poland, 30/09/23. https://doi.org/10.1007/978-3-031-50485-3_18

Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach. / Al-Eryani, Omar Khaled Fadhl Ali; Kayakutlu, Gülgün; Bektas, Zeynep et al.
Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings. ed. / Sławomir Nowaczyk; Przemysław Biecek; Neo Christopher Chung; Mauro Vallati; Paweł Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; Tomáš Kliegr; Ute Schmid; Szymon Bobek; Nada Lavrac; Marieke Peeters; Roland van Dierendonck; Saskia Robben; Eunika Mercier-Laurent; Gülgün Kayakutlu; Mieczyslaw Lech Owoc; Karl Mason; Abdul Wahid; Pierangela Bruno; Francesco Calimeri; Francesco Cauteruccio; Giorgio Terracina; Diedrich Wolter; Jochen L. Leidner; Michael Kohlhase; Vania Dimitrova. Springer Science and Business Media Deutschland GmbH, 2024. p. 187-193 (Communications in Computer and Information Science; Vol. 1948 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Merging Grid Technology with Oil Fields Power Distribution

T2 - International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023

AU - Al-Eryani, Omar Khaled Fadhl Ali

AU - Kayakutlu, Gülgün

AU - Bektas, Zeynep

AU - Kayalica, M. Özgür

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - This study explores how grid technology can help improve oil fields’ power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields’ power distribution, followed by the smart grid, the microgrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.

AB - This study explores how grid technology can help improve oil fields’ power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields’ power distribution, followed by the smart grid, the microgrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.

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KW - Fuzzy TOPSIS

KW - Oil Fields

KW - Power Distribution

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DO - 10.1007/978-3-031-50485-3_18

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SN - 9783031504846

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BT - Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings

A2 - Nowaczyk, Sławomir

A2 - Biecek, Przemysław

A2 - Chung, Neo Christopher

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A2 - Jaworek-Korjakowska, Joanna

A2 - Parkinson, Simon

A2 - Nikitas, Alexandros

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A2 - Kliegr, Tomáš

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A2 - Kayakutlu, Gülgün

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A2 - Mason, Karl

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A2 - Calimeri, Francesco

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Al-Eryani OKFA, Kayakutlu G, Bektas Z, Kayalica MÖ. Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach. In Nowaczyk S, Biecek P, Chung NC, Vallati M, Skruch P, Jaworek-Korjakowska J, Parkinson S, Nikitas A, Atzmüller M, Kliegr T, Schmid U, Bobek S, Lavrac N, Peeters M, van Dierendonck R, Robben S, Mercier-Laurent E, Kayakutlu G, Owoc ML, Mason K, Wahid A, Bruno P, Calimeri F, Cauteruccio F, Terracina G, Wolter D, Leidner JL, Kohlhase M, Dimitrova V, editors, Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 187-193. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-50485-3_18

Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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