A Theoretical Approach to Optimize the Pipeline Data Communication in Oil and Gas Remote Locations Using Sky X Technology

Authors

  • Nagoor Basha Shaik Chulalongkorn University
  • Watit Benjapolakul Chulalongkorn University
  • Widhyakorn Asdornwised Chulalongkorn University
  • Surachai Chaitusaney Chulalongkorn University
  • Eyman F. A. Elsmany University of Gezira
  • Kishore Bingi Universiti Teknologi PETRONAS

DOI:

https://doi.org/10.4186/ej.2023.27.5.29

Keywords:

data communication, data transmission, oil & gas, Sky X, satellite

Abstract

Oil, gas, and water distribution networks in remote locations require optimized data transmission from their sources to prevent or detect leakage or improve production flow in their manufacturing units. Remote oil and gas installations frequently encounter substantial obstacles in terms of data connectivity and transfer. Slow data transmission rates, data loss, and decision-making delays can all be caused by a lack of dependable network infrastructure, restricted bandwidth, and severe climatic conditions. The purpose of this research work is to identify critical concerns concerning data communication and data transfer in oil and gas distant areas and to investigate feasible approaches to these challenges. The survey was carried out to gather feedback from oil and gas experts on issues concerning data transmission in remote locations. This study provides a theoretical approach to optimizing data transmission and communication in remote areas using Sky X technology. This study presents a new theoretical method that improves the performance of IP over satellite using the critical aspects of data transmission issues from experts. This technology's contribution can improve the reliability of all users on a satellite network by delivering all features with a successful data transfer rate discreetly. This attempt may also aid oil and gas companies in optimizing data transmission/communication in remote regions.

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Author Biographies

Nagoor Basha Shaik

Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Watit Benjapolakul

Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Widhyakorn Asdornwised

Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Surachai Chaitusaney

Center of Excellence in Artificial Intelligence, Machine Learning and Smart Grid Technology, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Eyman F. A. Elsmany

Department of Computer Engineering, Faculty of Engineering and Technology, University of Gezira, Wad-Madani 20, Sudan

Kishore Bingi

Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak, Malaysia

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Published In
Vol 27 No 5, May 31, 2023
How to Cite
[1]
N. B. Shaik, W. Benjapolakul, W. Asdornwised, S. Chaitusaney, E. F. A. Elsmany, and K. Bingi, “A Theoretical Approach to Optimize the Pipeline Data Communication in Oil and Gas Remote Locations Using Sky X Technology”, Eng. J., vol. 27, no. 5, pp. 29-36, May 2023.