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Intelligent Oil Field Approach Using Virtual Reality and Mobile Anthropomorphic Robots

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Augmented Reality, Virtual Reality, and Computer Graphics (AVR 2018)

Abstract

The need to implement architectures with a high degree of scalability, a low level of error and the preservation of the integrity of human beings in the oil industry, has led to the development of technologies that use tele operation, in addition to graphic interfaces that reach a total immersion of the user. To achieve this, it is necessary to use tools such as augmented reality and virtual reality, which help to make the transparency of any system infinite. This research presents the design of a tele-operation system that allows periodic inspections of equipment, maintenance tasks, or training of new personnel in the Well-Pads located in Petroamazonas EP, Ecuador. The transmission of data has been made through the MQTT protocol in order to use the lowest possible bandwidth and consume few resources. In the local site several environments of augmented reality and virtual reality have been implemented, this allows to transmit the skill of the operator to the slave robot through the senses of kinesthesia, sight and hearing implementing an operation based on the concept of Intelligent Oil Field.

The original version of this chapter was revised: The name of an author was corrected. The correction to this chapter is available at https://doi.org/10.1007/978-3-319-95282-6_51

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Change history

  • 06 October 2018

    A correction has been published.

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Acknowledgments

This work was financed in part by Universidad Tecnica de Ambato (UTA) under project CONIN-P-0167-2017, by DPI2015-68602-R (MINECO/FEDER, UE), UPV/EHU under project PPG17/56 and GV/EJ under recognized research group IT914-16 and Government of Ecuador through grant SENESCYT-2013.

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Correspondence to Marcelo V. Garcia .

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Naranjo, J.E., Ayala, P., Altamirano, S., Brito, G., Garcia, M.V. (2018). Intelligent Oil Field Approach Using Virtual Reality and Mobile Anthropomorphic Robots. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10851. Springer, Cham. https://doi.org/10.1007/978-3-319-95282-6_34

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  • DOI: https://doi.org/10.1007/978-3-319-95282-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95281-9

  • Online ISBN: 978-3-319-95282-6

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