Seismic-Q Compensation by Iterative Time-Domain Deconvolution

Attenuation is often significant during seismic wave propagation in the subsurface, leading to reduced resolution and narrower bandwidth of images. Traditional corrections for such effects are inverse-Q filtering deconvolution, which require a high signal-to-noise ratio (SNR) avoid noise boost-up. Here, we propose time-domain method offering advantages interpretational quality resulting Similar wavelet transforms, iterative deconvolution (ITD) represents seismogram by superposition non-stationary source wavelets modeled appropriate attenuation model. Arbitrary frequency-dependent Q velocity dispersion laws can be used non-Q type caused focusing, defocusing, scattering, fine layering, fluctuations wavefield. Compared some methods, does not boost high-frequency less sensitive accuracy We illustrate compare this using several synthetic real data examples. The tests include noise-contaminated data, inaccurate models, variable wavelets. examples show that ITD practical effective tool Q-compensation with broad scope potential applications, albeit defects. An important benefit other methods may possess could ability utilize geological information, as locations sparseness major reflectors or presence interpreted contrasts, might able further improve performance ITD.