The decrease in conventional gas reservoir new discoveries combined with the increase of the market and improvement of the exploitation technologies push the industry to look for unconventional gas resources. Gas hydrates are one of the largest unconventional resource but also one of the less known. In this study, we use a modified bayesian algorithm in order to simulated gas hydrate grades at Mallik, TNO, Canada constrained by 3D seismic acoustic impedances. The results are validated using a high resolution seismic tomographic inversion. Even with the poor quality 3D seismic data, the proposed method is found to be very robust to estimate gas hydrate grades at Mallik.


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