Determination of Real-Time Dynamic Fluid Levels by Analysis of the Dynamometer Card

Liu, Z.; Wang, H.; Yang, Der‐Ching

doi:10.2118/2007-191

Cited by 6 publications

(4 citation statements)

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“…The coupling wave is formed by a small portion of the reflected wave generated when the acoustic wave encounters the reflective interface created by the oil tube coupling. Assuming that the length of the oil tube is

, and the travel path difference for the coupling wave echo is 2

, with the frequency of the coupling wave obtained through the Fourier transform being

, the formula for the calculation of the propagation speed of sound waves in the oil well is as follows [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ].

…”

Section: Principles and Methodsmentioning

confidence: 99%

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level

Liu,

Fan,

Liu

et al. 2024

Sensors

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Dynamic liquid level monitoring and measurement in oil wells is essential in ensuring the safe and efficient operation of oil extraction machinery and formulating rational extraction policies that enhance the productivity of oilfields. This paper presents an intelligent infrasound-based measurement method for oil wells’ dynamic liquid levels; it is designed to address the challenges of conventional measurement methods, including high costs, low precision, low robustness and inadequate real-time performance. Firstly, a novel noise reduction algorithm is introduced to effectively mitigate both periodic and stochastic noise, thereby significantly improving the accuracy of dynamic liquid level detection. Additionally, leveraging the PyQT framework, a software platform for real-time dynamic liquid level monitoring is engineered, capable of generating liquid level profiles, computing the sound velocity and liquid depth and visualizing the monitoring data. To bolster the data storage and analytical capabilities, the system incorporates an around-the-clock unattended monitoring approach, utilizing Internet of Things (IoT) technology to facilitate the transmission of the collected dynamic liquid level data and computed results to the oilfield’s central data repository via LoRa and 4G communication modules. Field trials on dynamic liquid level monitoring and measurement in oil wells demonstrate a measurement range of 600 m to 3000 m, with consistent and reliable results, fulfilling the requirements for oil well dynamic liquid level monitoring and measurement. This innovative system offers a new perspective and methodology for the computation and surveillance of dynamic liquid level depths.

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, and the travel path difference for the coupling wave echo is 2

, with the frequency of the coupling wave obtained through the Fourier transform being

, the formula for the calculation of the propagation speed of sound waves in the oil well is as follows [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ].

…”

Section: Principles and Methodsmentioning

confidence: 99%

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level

Liu,

Fan,

Liu

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…When the sensor breaks down, it is necessary to stop the exploitation of the pump wells to repair the sensor. Liu et al (2007) established the dynamometer card to judge the dynamic liquid level. However, the establishment of the dynamometer card ignored the influence of friction and inertial force, which resulted in the deviation between the dynamic liquid level calculated by the dynamometer card and the actual dynamic liquid level.…”

Section: Introductionmentioning

confidence: 99%

Soft sensor hybrid model of dynamic liquid level for sucker rod pump oil wells

Chen

Gao

2021

Transactions of the Institute of Measurement and Control

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The measurement of the dynamic liquid level is of great importance during the oil-producing process of rod pumping wells. It may affect the production of oil fields and motor efficiency. However, the dynamic liquid level is difficult to detect because of the circumstances in the downhole of rod pump wells. In this paper. Firstly, according to the working principles of the sucker rod pump, the mechanical models of the pumping motor and four-bar linkage mechanism are respectively built. Secondly, for the underground frictions, a mechanical model based on the energy conservation equation is built and then the mechanism model is built between the dynamic liquid level and power of the motor. To improve the accuracy of the mechanism model, a novel method based on an artificial fish swarm algorithm optimization Gaborc-kernel extreme learning machine is used to establish a soft sensor dynamic liquid level error compensation model. The mechanism model is paralleled with the soft sensor model to establish a hybrid model of dynamic liquid level. Eventually, the AFSA-Gaborc-KELM soft sensor hybrid model is verified by using the oil dataset collected from the electrical parameter acquisition equipment. This hybrid model is compared with some other models. In the comparison, the proposed hybrid model has better performance and prediction accuracy for the dynamic liquid level than the BP hybrid model, GA-ELM hybrid model, and LSSVM hybrid model.

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“…The traditional measurement methods of dynamic liquid level include the pressure gauge detection method [1], float method [2], dynamometry card method [3], optical fiber method [4], and echo method [5,6]. The echo method is the most widely used for measurement of dynamic liquid level due to simple operation and high efficiency.…”

Section: Introductionmentioning

confidence: 99%

Dynamic liquid level detection method based on resonant frequency difference for oil wells

Zhou¹,

Liu²,

Gan³

2018

Turk J Elec Eng & Comp Sci

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The dynamic liquid level of an oil well can be used to determine the oil production strategies and analyze the reservoir performance. Therefore, it is important to measure the dynamic liquid level in an oil field. This paper proposes a novel dynamic liquid level measurement method for oil wells, where the resonant frequency difference (RFD) of the resonant acoustic signal in annular is used to calculate the dynamic liquid level. To solve the noise interference problem in the resonant acoustic signal, a spectral fast Fourier transform (FFT) method based on Welch power spectrum is proposed to obtain the RFD. First, the Welch power spectrum approach is employed to process the resonant acoustic signal, and a high-pass filter is designed to filter the inherent envelope of low frequency in the power spectrum. In particular, a clear and smooth power spectrum can be obtained by choosing a suitable window and a sectional length. Furthermore, the short-time Fourier transform method is used to extract the strongest energy spectrum of the power spectrum. Finally, the RFD of two adjacent resonant harmonics can be accurately obtained by using FFT for the strongest energy spectrum. Experimental results show the effectiveness of the proposed approach.

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Determination of Real-Time Dynamic Fluid Levels by Analysis of the Dynamometer Card

Cited by 6 publications

References 0 publications

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level

Robust Intelligent Monitoring and Measurement System toward Downhole Dynamic Liquid Level

Soft sensor hybrid model of dynamic liquid level for sucker rod pump oil wells

Dynamic liquid level detection method based on resonant frequency difference for oil wells

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