利用瞬态压力波检测失去循环的改进型 MER 算法

0 ENERGY & FUELS
Zhongxi Zhu , Kangkai Yan , Wanneng Lei , Lei Cao
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引用次数: 0

摘要

为了解决钻井过程中裸眼井段漏失层定位的难题,本研究提出了一种基于修正能量比(MER)分析的瞬态压力波井漏检测方法。该方法巧妙利用瞬态压力波形与微震信号初至的相似性,准确捕捉压力波的突变时刻,通过 MER 方法获得信号的时间差,并结合压力波的波速实现漏失层的精确定位。针对瞬态压力波信号中噪声含量较高的问题,本研究提出了一种改进的变分模态分解(VMD)自适应去噪方法,该方法能有效去除噪声成分,最大限度地保留信号的关键特征,降噪后信号的信噪比可达 15.64。实验结果表明,该方法的泄漏层定位误差在 0.13% 至 5.30% 之间。在相同条件下,MER 定位法的精度优于小波模式最大值法、频域法和短时平均/长时平均(STA/LTA)法,定位误差率可低至 2.11%。基于改进 MER 算法的瞬态压力波井漏检测方法为钻井过程中的井漏检测提供了一种低成本、高精度、高效率的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Improved MER algorithm for lost circulation detection using transient pressure waves

Improved MER algorithm for lost circulation detection using transient pressure waves
In order to solve the difficult problem of locating the leakage layer in the bare eye well section during drilling, this study proposes a transient pressure wave well leakage detection method based on the modified energy ratio (MER) analysis. The method makes clever use of the similarity between the transient pressure waveform and the first arrival of the microseismic signal, and accurately captures the sudden change moments of the pressure wave to obtain the time difference of the signal through the MER method, and combines with the wave velocity of the pressure wave to achieve the precise location of the leakage layer. To address the problem of high noise content in transient pressure wave signals, this study proposes an improved variational modal decomposition (VMD) adaptive denoising method, which effectively removes the noise components and retains the key features of the signals to the maximum extent, and the signal-to-noise ratio of the signal after noise reduction can be up to 15.64. The experimental results show that the leaky layer localisation error of the method ranges from 0.13% to 5.30%. Under the same conditions, the accuracy of the MER localisation method is better than that of the wavelet mode maxima method, the frequency domain method and the short-time averaging/long-time averaging (STA/LTA) method, and the localisation error rate can be as low as 2.11%. The transient pressure wave well leakage detection method based on the improved MER algorithm provides a low-cost, high-precision and efficient solution for well leakage detection during drilling.
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