Machine Learning Saves Millions By Predicting Crude-Hauler Rejects: Part 2
POSTED BY Thomas Hunt ON August 13, 2019 IN Analytics, Blog, Digital Transformation, E/CTRM
In the first post of this series about crude oil load rejections, we discussed the extent of the problem, its estimated cost to producers and first purchasers, and how rejections can be predicted. These were the highlights: In our sample, first purchasers rejected 2.6% of crude oil loads because of high BS&W. The cost of …