Application of a New Wavelet Threshold Method in Unconventional Oil and Gas Reservoir Seismic Data Denoising

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td align="left">Threshold</td><td align="center">Plus noise signal</td><td align="center">Hard threshold </td><td align="center">Soft threshold function</td><td align="center">The new threshold </td></tr><tr><td align="center" colspan="5"><hr/></td></tr><tr><td align="left">SNR</td><td align="center">14.8606</td><td align="center">24.7590</td><td align="center">25.2749</td><td align="center">26.5035</td></tr><tr><td align="left">RMSE</td><td align="center">1.0324</td><td align="center">0.3303</td><td align="center">0.3113</td><td align="center">0.2702</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Methods of signal to noise ratio (SNR/dB) and mean square error (MSE).

Mathematical Problems in Engineering

tab1

Table 1

Table 1: Application of a New Wavelet Threshold Method in Unconventional Oil and Gas Reservoir Seismic Data Denoising 