Well head multi parameter data monitoring system based on LoRa

Shufa Tang, Liang Guo
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Abstract

Oilfield wellhead data is an important indicator to reflect the normal operation of oil well equipment. This paper monitors the data of standpipe pressure, hanging weight, torque and other parameters, which is helpful to improve the safety and production efficiency of the entire oilfield. Therefore, this paper proposes a set of multi parameter monitoring system based on LoRa to further explore and study in order to reduce oilfield accidents.
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基于LoRa的井口多参数数据监测系统
油田井口数据是反映油井设备正常运行的重要指标。通过对立管压力、吊重、扭矩等参数的监测,有助于提高整个油田的安全生产效率。为此,本文提出了一套基于LoRa的多参数监测系统进行进一步的探索和研究,以减少油田事故的发生。
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