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Applications of Curvelet Transform in Hardrock Seismic ExplorationNormal access

Authors: A. Górszczyk, M. Malinowski and G. Bellefleur
Event name: EAGE/DGG Workshop on Deep Mineral Exploration
Session: Mixed Poster Session on Case Studies, Methods and New Tools for On- and Offshore Mineral Exploration
Publication date: 18 March 2016
DOI: 10.3997/2214-4609.201600040
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.23Mb )
Price: € 20

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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