Reservoir characterization

The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods.
A new dose of constraint may just be the best prescription for those making reserves estimates on prospective unconventional resources.
The utility of mud gas data so far has been limited to fluid typing, formation evaluation, and interwell geological and petrophysical correlation. The ongoing digital transformation has presented the opportunity to increase the utility of, and get more value from, the abundant and rich mud gas data. This article raises the question of whether getting more from mud gas…

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