基于LPWAN偏远低效气井数据传输方案设计

在国际低油价的背景下，经济高效地实现油气生产数字化转型和智能化发展，提高生产效率是油气企业持续发展的重要战略。天然气井生产数据的采集传输是实现生产预警、动态分析及降低人员劳动强度的有效手段，传统天然气井数据采集传输方案存在成本高、建设周期长及设备功耗高等问题，不适宜在偏远低效天然气井部署。通过对低功耗广域网（LPWAN）技术进行研究，总结技术优势，并结合偏远低效天然气井生产特点、环境配套及信息化需求，形成了具有针对性、经济可靠的、基于LoRa和NB-IoT异构组网的数据传输方案。方案采用传感器采集气井生产数据并通过LoRa技术传输至采集传输模块，经过解析后通过NB-IoT技术传输至云服务器，调控中心通过访问云服务器方式实现远程监控。根据本文方案对气井进行测试分析，结果表明，该方案设计高效率、低成本、低功耗地实现偏远低效天然气井数据采集传输，对传统信息化建设方案提供了有效补充。

Design of Data Acquisition and Transmission Scheme for Remote and Inefficient Gas Wells Based on LPWAN Technology

To achieve the purpose of digital transformation and intelligent development of oil and gas enterprises under the background of international low oil price, improving production efficiently is an important strategy for the sustainable development of these enterprises. The acquisition and transmission of gas well production data is an effective method to early warning dynamic analysis and reduce labor intensity. The traditional scheme of data acquisition and transmission is of high cost, long construction period and high equipment power consumption, which is not a good for remote and inefficient gas wells. In this paper, through the research of Low Power WAN (LPWAN) technology, we summarized the technical advantages, and by combining with the production characteristics of remote and inefficient gas wells, the environment and information requirements, we accomplished an economic and reliable data transmission scheme based on Lora and NB-IoT heterogeneous networking. The scheme uses sensors to collect production data of gas well and transmit it to acquisition and transmission module through LoRa technology. After analysis, it is transferred to cloud server through NB-IoT technology. The control center can realize remote monitoring by visiting cloud server. According to the test and analysis of the scheme in this paper, the results show that the scheme can realize the data acquisition and transmission of remote and inefficient gas wells with high efficiency, low cost and low power consumption, which provides an effective supplement to the traditional information construction scheme.