Vibration of drilling motors in unconventional oil and gas exploration with a miniature recorder

Li, Fēi

doi:10.1049/joe.2019.1130

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Many scholars and drilling companies have recently researched and developed miniaturized offline downhole vibration recorders, such as NOV's BlackBox, Schlumberger's MVC, Baker Hughes's CoPilot, etc. [12][13][14]. Most of these miniature vibration recorders are deployed in the modified drilling motor to work offline.…”

Section: Introductionmentioning

confidence: 99%

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

Lyu,

Wang,

Mei

et al. 2023

IEEE Access

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The high-frequency information of downhole vibration can record more specific details about the dynamic response of bottom hole assembly (BHA), which is conducive to analyzing downhole abnormal vibration and diagnosing drilling tool failure. However, high frequency measurements would generate a large amount of data, which is a huge challenge for data storage. To cope with this challenge, this work proposes applying compressive sensing theory to high-frequency measurement of downhole vibration signals and failure analysis of drilling tools. First, three ADCs clocked at different sub-Nyquist frequencies are used to collect and store downhole vibration signals. Then, the stored sparse vibration data is reconstructed into complete vibration signal by an improved OMP signal reconstruction algorithm. The performance of the proposed method has been investigated via a series of experiments by applying simulation and real vibration signals, which show that the proposed method can reconstruct the downhole vibration signal well and significantly reduce the pressure of acquisition and data storage. This method provides a new way to obtain the high-frequency measurement data of downhole vibration, and provides a data basis for further mastering the comprehensive law of downhole vibration, diagnosing abnormal downhole vibration, and drilling tool failure.INDEX TERMS Downhole vibration measurement, Compressed sensing, Drilling tool failure.

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Section: Introductionmentioning

confidence: 99%

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

Lyu,

Wang,

Mei

et al. 2023

IEEE Access

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“…On the one hand, the frequency range of the noise presents the characteristics of wideness and randomness, which are shown in Table 1 ; on the other hand, the lateral vibration acceleration of the near-bit during drilling is generally about 10 g or up to 30 g [ 1 ], while the amplitude of the useful signal is generally less than 1 g. Therefore, the signal-to-noise ratio (SNR) of the attitude measurement signal is usually as low as −20 dB, or even lower. Thus, the useful signal is annihilated in the strong vibration background noise, which negatively interferes with the tool attitude measurement and makes the MWD invalid [ 2 , 3 ]. Multi-frequency, high amplitude noise interference and extremely low SNR are always the technical difficulties in the field of the dynamic measurement of steerable drilling tools.…”

Section: Introductionmentioning

confidence: 99%

Research on the Cooperative Detection of Stochastic Resonance and Chaos for Weak SNR Signals in Measurement While Drilling

Yang

Zhang

et al. 2021

Sensors

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In the process of drilling, severe downhole vibration causes attitude measurement sensors to be erroneous; the errors will accumulate gradually during the inclination calculation. As a result, the ultimate well path could deviate away from the planned trajectory. In order to solve this problem, this paper utilized the stochastic resonance (SR) and chaos phase transition (CPT) produced by the second-order Duffing system to identify the frequency and estimate the parameters of the signal during measurement while drilling. Firstly, the idea of a variable-scale is introduced in order to reconstruct the frequency of the attitude measurement signal, and an SR frequency detection model based on a scale transformation Duffing system is established in order to meet the frequency limit condition of the SR. Then, an attitude measurement signal with a known frequency value is input into the Duffing chaos system, and the scale transformation is used again to make the frequency value meet the parameter requirement of chaos detection. Finally, two Duffing oscillators with different initial phases of their driving signal are combined in order to estimate the amplitude and phase parameters of the measurement signal by using their CPT characteristics. The results of the laboratory test and the field-drilling data demonstrated that the proposed algorithm has good immunity to the interference noise in the attitude measurement sensor, improving the solution accuracy of the inclination in a severe noise environment and thus ensuring the dynamic stability of the well trajectory.

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A self-powered vibration sensor for downhole drilling tools based on hybrid electromagnetic–triboelectric nanogenerator

Yang

Wen

et al. 2021

Review of Scientific Instruments

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The vibration of downhole drilling tools is important to the drilling process, which needs to be measured in real time. Here, a self-powered vibration sensor for downhole drilling tools based on a hybrid electromagnetic–triboelectric nanogenerator is proposed in this research. The sensor has high reliability because the triboelectric nanogenerator (TENG) and the electromagnetic generator (EMG) parts of the sensor can be used as vibration sensors alone, and it may also supply power to other micro-power measurements while drilling instruments when the TENG and the EMG are used in parallel to increase the output power. Test results show that for the TENG part, the maximum output voltage, current, and power are 14 V, 5.2 µA, and 3.2 µW, respectively, with a 1 MΩ resistance in series, and for the EMG part, they are 1.22 V, 33 µA, and 21.8 mW, respectively, with a 10 Ω resistance in series. Further tests show that the measurement range of both the TENG and EMG is 0–11 Hz, the measurement error of both is less than ±5%, and both can work normally in the temperature range of less than 250 °C. In addition, this research also builds a wireless vibration data transmission system based on the sensor, which shows the potential for use in the wireless sensing field.

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Vibration of drilling motors in unconventional oil and gas exploration with a miniature recorder

Cited by 4 publications

References 11 publications

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

A High-Frequency Measurement Method of Downhole Vibration Signal Based on Compressed Sensing Technology and Its Application in Drilling Tool Failure Analysis

Research on the Cooperative Detection of Stochastic Resonance and Chaos for Weak SNR Signals in Measurement While Drilling

A self-powered vibration sensor for downhole drilling tools based on hybrid electromagnetic–triboelectric nanogenerator

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