Data–driven decision–making for lost circulation treatments: A machine learning approach
Lost circulation is an expensive and critical problem in the drilling operations. Millions of dollars are spent every year to mitigate or stop this problem. In this work, data from over 3000 wells were collected from multiple sources. The data went through a processing step where all outliers were r...
Main Authors: | Husam H. Alkinani, Abo Taleb T. Al-Hameedi, Shari Dunn-Norman |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-11-01
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Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546820300318 |
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