R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2023

R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems

Abstract

Failures in pipeline transportation of crude oil have numerous adverse effects, such as ecological degradation, environmental pollution and a decrease in revenue for the operators, to mention a few. Efficient data and service management can predict and prevent these failures, reducing the downtime of the pipeline infrastructure, among other benefits. Thus, we propose a two-stage approach to data and service management in Leakage Detection and Monitoring Systems (LDMS) for crude oil pipelines. It aims to maximise the accuracy of leakage detec- tion and localisation in a fault-tolerant and energy-efficient manner. The problem is modelled as a Markov Decision Process (MDP) based on the historical incident data from the Nigerian National Petroleum Corporation (NNPC) pipeline networks. Results obtained guarantee detection in at least two deployed nodes with a minimum localisation accuracy of 90%. Additionally, we achieved approximately 77% and 26% reduction in energy consumption compared to a pessimistic strategy and a globalised heuristic approach, respectively.
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Dates and versions

hal-03912306 , version 1 (12-01-2023)

Identifiers

  • HAL Id : hal-03912306 , version 1

Cite

Safuriyawu Ahmed, Frédéric Le Mouël, Nicolas Stouls, Jilles Dibangoye. R-MDP: A Game Theory Approach for Fault-Tolerant Data and Service Management in Crude Oil Pipelines Monitoring Systems. MobiQuitous 2022 - 19th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Nov 2022, Pittsburgh, United States. ⟨hal-03912306⟩
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