Intelligent Oil Field Approach Using Virtual Reality and Mobile Anthropomorphic Robots

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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.

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APA

Naranjo, J. E., Ayala, P. X., Altamirano, S., Brito, G., & Garcia, M. V. (2018). Intelligent Oil Field Approach Using Virtual Reality and Mobile Anthropomorphic Robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10851 LNCS, pp. 467–478). Springer Verlag. https://doi.org/10.1007/978-3-319-95282-6_34

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