Channelized facies recovery based on weighted compressed sensing
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Presented at IEEE SAM 2016 in Rio de Janeiro. This was Felipe’s first international conference presentation, supported by a travel grant from the Department of Electrical Engineering (DIE) at Universidad de Chile. The paper proposes a weighted compressed sensing (WCS) algorithm for channelized facies recovery, integrating signal structure in the DCT transform domain with multiple-point statistics. Results show excellent reconstruction even with 0.3%-1.0% sampling rates. Joint work with Hernan Calderon, Jorge F. Silva, Julian Ortiz, and Alvaro Egana.