AgentOil: A Multiagent-Based Simulation of the Drilling Process in Oilfields

Yazan Mualla 1 Robin Vanet 2, 3 Amro Najjar 4 Olivier Boissier 2, 5, 6, 7 Stéphane Galland 8
1 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
2 Mines Saint-Étienne MSE - École des Mines de Saint-Étienne
3 Ecole d'ingenieurs Telecom Saint Etienne
4 Umeå University
5 LHC - Laboratoire Hubert Curien [Saint Etienne]
6 FAYOL-ENSMSE - Institut Henri Fayol
7 FAYOL-ENSMSE - Département Informatique et systèmes intelligents
8 UBFC - Université Bourgogne Franche-Comté [COMUE]
Abstract : Oil&Gas have become the world’s most important source of energy since the mid-1950’s. For instance; Britain oilfields produce each year about 76 million tonnes of oil equivalent. This provides 76% of the UK’s total primary energy [5]. In oilfields wells, a drilling rig is used to create a bore-hole in the earth’s sub-surface with a Bottom Hole Assembly (BHA), which is a composition of several drilling tools with various functionalities, searching for natural resources.
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https://hal-emse.ccsd.cnrs.fr/emse-02070583
Contributor : Florent Breuil <>
Submitted on : Monday, March 18, 2019 - 10:19:54 AM
Last modification on : Wednesday, November 6, 2019 - 5:22:03 PM

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EMSE | FAYOL-ENSMSE | ISCOD-ENSMSE | UNIV-BM | UNIV-BOURGOGNE | LE2I | UNIV-BM-THESE | TDS-MACS | UNIV-ST-ETIENNE | INSTITUT-TELECOM | IOGS | PARISTECH | UNIV-PARIS-SACLAY | UNIV-HESAM

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Yazan Mualla, Robin Vanet, Amro Najjar, Olivier Boissier, Stéphane Galland. AgentOil: A Multiagent-Based Simulation of the Drilling Process in Oilfields. The Third IEEE International Conference on Robotic Computing, Jun 2018, Tolède, Spain. pp.339-343, ⟨10.1007/978-3-319-94580-4_34⟩. ⟨emse-02070583⟩

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