produced water continue to increase, resulting in adverse environmental impacts and higher
reservoir-management costs. To address these problems, a data-driven workflow has been
developed to pre-emptively identify the high water-cut wells. The workflow uses
unsupervised pseudo-rock typing followed by supervised classification trained on well logs
from 17 wells in the Delaware basin. The workflow requires a suite of 5 well logs from a 500 …