Unsupervised machine learning using 3D seismic data applied to reservoir evaluation and rock type identification
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DOI: 10.1190/int-2020-0108.1
Abstract: Net reservoir discrimination and rock type identification play vital roles in determining reservoir quality, distribution, and identification of stratigraphic baffles for optimizing drilling plans and economic petroleum recovery. Although it is challenging to discriminate small… read more here.
Keywords: rock type; reservoir; type identification; rock ... See more keywords