Summary

This study focuses on the Mallik gas hydrate field, in the Northwest Territories, where 3D acoustic impedance and well log data from two wells are available. Firstly, collocated log data are used to infer the statistical relation between acoustic impedance and gas hydrate grade (product of saturation and porosity). Secondly, adapted stochastic Bayesian simulation is applied to generate multiple 3D models of gas hydrate grade fields integrating log data and lateral variability of 3D acoustic impedance. A statistical analysis of these scenarios allows the quantification of the in-place gas volumes. The simulation approach also allows estimating the uncertainty on these volumes. Then, connectivity analysis is computed on the three gas hydrate layers based on different grade cutoffs. The upper gas hydrate layers (zones A & B) show low connectivity and low grades. The deeper gas hydrate layer (Zone C) presents the highest connectivity that reaches the limit of the studied 3D grid, suggesting an even larger connected area of high gas hydrate grades.

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