Journal of Southwest Petroleum University(Science & Technology Edition) ›› 2020, Vol. 42 ›› Issue (6): 149-156.DOI: 10.11885/j.issn.1674-5086.2020.05.25.03

• A Special Issue on Artificial Intelligence Technology & Application in Oil and Gas Fields • Previous Articles     Next Articles

Application of LoRa Technology in Oilfield Data Acquisition System

MEI Dacheng, CHEN Yaping, HE Jingqi, YUE Lin   

  1. School of Computer Science, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2020-05-25 Published:2020-12-21

Abstract: In view of the complex networking and ultra-high power consumption of existing network communication technologies in complex petroleum environments, LoRa, a low-power, ultra-long-range wireless communication technology, is used to improve the accuracy and real-time performance of existing network communication technologies and reduce the difficulty of networking in the intelligent oilfield data acquisition systems. According to the research of LoRaWAN wireless standard protocol and polling time slot allocation algorithm, a wireless data acquisition method based on LoRa technology for differential time slot allocation strategy was designed. The improved method was simulated on OPNET 14.5 platform. Through simulation, the throughput of the ad hoc network using this method is significantly improved compared with the fixed time slot allocation strategy, which effectively reduces the data reporting period of important data nodes, increases the utilization of network channels, and improve digital construction of oilfields.

Key words: LoRa, low power consumption, intelligent oilfield, polling slot allocation algorithm, differential time slot allocation strategy

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