降低测试数据噪音的数值算法

NUMERICAL ALGORITHM FOR REDUCING THE NOISE OF TEST DATA

在测试过程中,由于外界因素的干扰,测压数据都会产生不同程度的振荡,导致测压数据不能准确反 映流体渗流的实际状况,从而影响后续试井分析结果的准确性。因此,在实际试井资料的处理过程中,为了减少测 试噪音的影响,达到准确分析的目的,需要对数据进行必要的磨光处理。采用B样条曲线对实测数据进行磨光,可 以保证压力导数曲线具有很好的光滑性、光顺性和逼近度。实例证明该方法是有效的,计算结果是可信的。

During the well test, the disturbance of external factor will make the measured pressure data fluctuate to different extent and affect the precision of the subsequent well test analysis result. So, while processing the actual well test data, the data should be smoothed to reduce the influence of testing noise. The exact analytical result can be achieved. In the paper, the method, using B - spline curve to smooth measured data, can ensure the pressure derivation curve has better velvet, smoothness and fidelity. The example illustrates that the B - spline smoothing method is effective and the result of calculation is reliable.