We present feasibility of applying Discrete Curvelet Transform (DCT) to pre-stack data acquired in the hardrock environment using the Lalor dataset. Two algorithms were developed to help reduce random and coherent noise at various stages of the processing sequence and to obtain a high-quality seismic volume representative of the subsurface. First we demonstrate the ability of DCT to separate coherent events by employing it for ground-roll attenuation. Secondly we tackle the problem of velocity model building for pre-stack time migration (PSTM). We design an automatic workflow for gathers conditioning and moveouts picking which require only minimal human interaction. Robustness of our method is demonstrated by examples convincing that DCT can be effectively used to solve variety of problems encountered during processing and imaging of the seismic data acquired in the ore exploration context.


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