基于小波变换的油井油液面深检测

Oil Well Depth Test Based on Wavelet Algorithm

在用声波测试油井油液面深时,反射声波受到大量杂波干扰,给接箍波和液面波的定位带来了极大的困难。文中基于小波变换,用Marr小波对测试信号进行分解,有效地去除了干扰噪声,清晰地显示出了接箍波和液面波,使计算机可以根据处理结果给接箍波和液面波进行定位,从而提高测试的有效率和测试的精度。

For the abundant of noise in testing oil well depth with sound wave, it is difficult to locate the reflected sound wave. The wavelet transform is introduced to process the signal, which can filter out the noise and give prominence to the concerned ingredient of the reflected sound wave. According to the result of signal processing, the reflected wave can be located accurately. So the precision and eligibility of the test can be promoted greatly. ©, 2005, Science Press. All right reserved.