Study of Well Segmentation by using Self Organizing Maps (Kohonen Maps) in an Unsupervised ML mode

This type of analysis could benefit engineers looking at possibly 1000’s of wells in their field when finding right candidates for workover or re-stimulation is needed.

A display of a feature showing a few clusters of affinity

Welcome to my blog post. I am sharing in this post a publication from my LinkedIn page submitted just a few years ago. Here is the link to the article https://www.linkedin.com/pulse/study-well-segmentation-using-self-organizing-maps-ml-dario-h-/ Enjoy it!

Finding similarities within your Asset

“A Self-Organizing Map is used extensively in market analysis, health care, banking and since a few years ago by the major Oil & Gas services companies in supporting reservoir studies, production optimization patterns, etc. .”

A Guide for Success

“Dividing the producing field (sample of wells) on the basis of some significant features will facilitate quick characterization.”

#som #clustering #unsupervised #segmentation