Denosing and smoothing for oil well data base on discrete stationary wavelet transform

In oil well data analysis, for the existence of noises and the effort of singularity points, indention distribution is appears and normal analysis work is affected. For the redundant characters of discrete stationary wavelet transform, mid-way threshold method is applied to remove noises disturbance and smooth the whole procedure data. That is to smooth data by using de-noising method. Further more, adjusted modulus can be elected in different states and requirement of engineering technology for measuring data is satisfied.