In order to satisfy the need to enhance real-time monitoring capabilities for oilfield subsidence,ensure safe production,and im-prove oil well extraction efficiency,this study has utilized Python to develop a dynamic liquid level monitoring and control software in con-junction with the acoustic wave method.The software is designed to monitor and process key information such as the depth of the dynamic liquid level,echo time,and operating voltage across multiple wells in real-time.Additionally,it supports mobile access to data,enabling on-the-go monitoring of wellhead liquid levels to promptly detect and address any anomalies.Test results demonstrate that the software can accurately obtain subsurface dynamic liquid level data with an absolute error controlled within 1 m and an average relative error as low as 0.1% .The developed acoustic wave-based dynamic liquid level measurement and control software enhances the real-time,accuracy,and conven-ience of liquid level monitoring,providing robust technical support for the secure production of oilfields and efficient development of oil wells.
关键词
油井动液面/声波法/实时监测/Python
Key words
oil well dynamic surface/acoustic wave method/real-time monitoring/Python
维普
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