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Related Experiment Video

Updated: Jun 23, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

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Published on: September 26, 2017

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level.

Zhiyang Liu^1,2, Qi Fan³, Jianjian Liu³

¹School of Electronics Information and Electrical Engineering, Yangtze University, Jingzhou 434023, China.

Sensors (Basel, Switzerland)

|June 19, 2024

Summary

This study introduces an intelligent infrasound method for monitoring oil well dynamic liquid levels, overcoming limitations of traditional techniques. The system offers accurate, real-time measurements for enhanced oilfield productivity.

Keywords:

Internet of Things LoRa dynamic liquid level monitoring and measurement noise reduction algorithm

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Ultrasound Velocity Measurement in a Liquid Metal Electrode

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Published on: August 5, 2015

Area of Science:

Geophysics
Petroleum Engineering
Acoustics

Background:

Dynamic liquid level monitoring is crucial for efficient oil extraction and field management.
Conventional methods face challenges like high costs, low precision, and poor real-time performance.
Accurate real-time data is needed for optimizing oil production and ensuring operational safety.

Purpose of the Study:

To develop an intelligent infrasound-based measurement method for dynamic liquid levels in oil wells.
To address the limitations of existing measurement techniques, focusing on accuracy, cost, and real-time capabilities.
To engineer a robust system for continuous, unattended monitoring and data analysis.

Main Methods:

Implementation of a novel noise reduction algorithm to improve signal accuracy.
Development of a real-time monitoring software platform using the PyQT framework.
Integration of Internet of Things (IoT) technology with LoRa and 4G modules for data transmission and storage.

Main Results:

The infrasound method significantly enhances dynamic liquid level detection accuracy.
The developed software platform provides real-time liquid level profiles, sound velocity, and depth computation.
Field trials confirmed a reliable measurement range of 600 m to 3000 m.

Conclusions:

The proposed infrasound-based system offers a novel and effective solution for oil well dynamic liquid level monitoring.
This innovative approach improves measurement accuracy, real-time performance, and data management capabilities.
The system provides a new methodology for the computation and surveillance of dynamic liquid level depths, enhancing oilfield operations.