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Conference Papers Year : 2019

A Cyber-Physical System for Semi-autonomous Oil & Gas Drilling Operations

Abstract

In Oil&Gas drilling operations and after reaching deep drilled depths, high temperature increases significantly enough to damage the down-hole drilling tools, and the existing mitigation process is insufficient. In this paper, we propose a Cyber-Physical System (CPS) where agents are used to represent the collaborating entities in Oil\&Gas fields both up-hole and down-hole. With the proposed CPS, down-hole tools respond to high temperature autonomously with a decentralized collective voting based on the tools' internal decision model while waiting for the cooling performed up-hole by the field engineer. This decision model, driven by the tools' specifications, aims to withstand high temperature. The proposed CPS is implemented using a multiagent simulation environment, and the results show that it mitigates high temperature properly with both the voting and the cooling mechanisms.
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Dates and versions

emse-02070569 , version 1 (18-03-2019)

Identifiers

  • HAL Id : emse-02070569 , version 1

Cite

Yazan Mualla, Amro Najjar, Olivier Boissier, Stéphane Galland, Igor Tchappi Haman, et al.. A Cyber-Physical System for Semi-autonomous Oil & Gas Drilling Operations. The Third IEEE International Conference on Robotic Computing, Feb 2019, Naples, Italy. pp.1-6. ⟨emse-02070569⟩
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