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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publicationArtificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings
EditorsSławomir 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
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages7
ISBN (Print)9783031504846
Publication statusPublished - 2024
EventInternational Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 - Kraków, Poland
Duration: 30 Sept 20234 Oct 2023

Publication series

NameCommunications in Computer and Information Science
Volume1948 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


ConferenceInternational Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023

Bibliographical note

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


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


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