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

^*Bu çalışma için yazışmadan sorumlu yazar

İşletme Mühendisliği Bölümü

Bahcesehir University
Istanbul Technical University
Kadir Has University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings
Editörler	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
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	187-193
Sayfa sayısı	7
ISBN (Basılı)	9783031504846
DOI'lar	https://doi.org/10.1007/978-3-031-50485-3_18
Yayın durumu	Yayınlandı - 2024
Etkinlik	International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 - Kraków, Poland Süre: 30 Eyl 2023 → 4 Eki 2023

Yayın serisi

Adı	Communications in Computer and Information Science
Hacim	1948 CCIS
ISSN (Basılı)	1865-0929
ISSN (Elektronik)	1865-0937

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023
Ülke/Bölge	Poland
Şehir	Kraków
Periyot	30/09/23 → 4/10/23

Bibliyografik not

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

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 8 İnsana Yakışır İş ve Ekonomik Büyüme

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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; Hac. 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. editör / 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).

@inproceedings{3bb946fc6d8a406292d4dfff41967fd2,

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.",

keywords = "Fuzzy Decision-Making, Fuzzy TOPSIS, Oil Fields, Power Distribution, Power Grid",

author = "Al-Eryani, \{Omar Khaled Fadhl Ali\} and G{\"u}lg{\"u}n Kayakutlu and Zeynep Bektas and Kayalica, \{M. {\"O}zg{\"u}r\}",

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",

year = "2024",

doi = "10.1007/978-3-031-50485-3\_18",

language = "English",

isbn = "9783031504846",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "187--193",

editor = "S{\l}awomir Nowaczyk and Przemys{\l}aw Biecek and Chung, \{Neo Christopher\} and Mauro Vallati and Pawe{\l} Skruch and Joanna Jaworek-Korjakowska and Simon Parkinson and Alexandros Nikitas and Martin Atzm{\"u}ller and Tom{\'a}{\v s} Kliegr and Ute Schmid and Szymon Bobek and Nada Lavrac and Marieke Peeters and \{van Dierendonck\}, Roland and Saskia Robben and Eunika Mercier-Laurent and G{\"u}lg{\"u}n Kayakutlu and Owoc, \{Mieczyslaw Lech\} and Karl Mason and Abdul Wahid and Pierangela Bruno and Francesco Calimeri and Francesco Cauteruccio and Giorgio Terracina and Diedrich Wolter and Leidner, \{Jochen L.\} and Michael Kohlhase and Vania Dimitrova",

booktitle = "Artificial Intelligence. ECAI 2023 International Workshops - XAI\textasciicircum{}3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings",

address = "Germany",

}

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, hac. 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; Hac. 1948 CCIS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

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.

KW - Fuzzy Decision-Making

KW - Fuzzy TOPSIS

KW - Oil Fields

KW - Power Distribution

KW - Power Grid

UR - https://www.scopus.com/pages/publications/85184294053

U2 - 10.1007/978-3-031-50485-3_18

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

M3 - Conference contribution

AN - SCOPUS:85184294053

SN - 9783031504846

T3 - Communications in Computer and Information Science

SP - 187

EP - 193

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

A2 - Vallati, Mauro

A2 - Skruch, Paweł

A2 - Jaworek-Korjakowska, Joanna

A2 - Parkinson, Simon

A2 - Nikitas, Alexandros

A2 - Atzmüller, Martin

A2 - Kliegr, Tomáš

A2 - Schmid, Ute

A2 - Bobek, Szymon

A2 - Lavrac, Nada

A2 - Peeters, Marieke

A2 - van Dierendonck, Roland

A2 - Robben, Saskia

A2 - Mercier-Laurent, Eunika

A2 - Kayakutlu, Gülgün

A2 - Owoc, Mieczyslaw Lech

A2 - Mason, Karl

A2 - Wahid, Abdul

A2 - Bruno, Pierangela

A2 - Calimeri, Francesco

A2 - Cauteruccio, Francesco

A2 - Terracina, Giorgio

A2 - Wolter, Diedrich

A2 - Leidner, Jochen L.

A2 - Kohlhase, Michael

A2 - Dimitrova, Vania

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 30 September 2023 through 4 October 2023

ER -

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, editörler, 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

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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