强大的智能监测和测量系统向下方洞动态液位水平
Zhiyang Liu1,2, Qi Fan3, Jianjian Liu3
1School of Electronics Information and Electrical Engineering, Yangtze University, Jingzhou 434023, China.
Sensors (Basel, Switzerland)
|June 19, 2024
概括
本研究介绍了一种智能的超声波方法,用于监测油井动态液体水平,克服传统技术的局限性. 该系统提供准确的实时测量,以提高油田生产率.
科学领域:
- 地质物理学 地质物理学
- 石油工程是石油工程中的一个.
- 声学 声学 在声学方面
背景情况:
- 动态液位监测对于有效的石油开采和油田管理至关重要.
- 传统方法面临诸如高成本,低精度和实时性能差等挑战.
- 需要准确的实时数据来优化石油生产并确保运营安全.
研究的目的:
- 开发一种基于超声波的智能测量方法,用于测量油井的动态液体水平.
- 解决现有测量技术的局限性,重点关注准确性,成本和实时能力.
- 设计一个强大的系统,用于连续的,无人监督的监控和数据分析.
主要方法:
- 实施一种新的降噪算法,以提高信号准确性.
- 使用PyQT框架开发一个实时监控软件平台.
- 整合物联网 (IoT) 技术与LoRa和4G模块进行数据传输和存储.
主要成果:
- 超声波方法显著提高了动态液体水平检测的准确性.
- 开发的软件平台提供实时液体水平配置文件,声速和深度计算.
- 现场试验证实了可靠的测量范围为600米至3000米.
结论:
- 拟议的基于超声波的系统为油井动态液位监测提供了一种新且有效的解决方案.
- 这种创新方法提高了测量精度,实时性能和数据管理能力.
- 该系统为计算和监测动态液位深度提供了一种新方法,增强油田运营.
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