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

Updated: Mar 18, 2019

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.





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

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