An Artificially Intelligent Technique to Generate Synthetic Geomechanical Well Logs for the Bakken Formation

An Artificially Intelligent Technique to Generate Synthetic Geomechanical Well Logs for the Bakken Formation

Artificially intelligent and predictive modelling of geomechanical properties is performed by creating supervised machine learning data models utilizing artificial neural networks (ANN) and will predict geomechanical properties from basic and commonly used conventional well logs such as gamma ray, a...

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Bibliographic Details
Main Authors: George Parapuram, Mehdi Mokhtari, Jalel Ben Hmida
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Energies
Subjects:
Bakken Formation
unconventional
geomechanics
shear wave
artificial intelligence
predictive modeling
supervised machine learning
artificial neural networks (ANN)
regression
hypothesis testing
cost-savings
Online Access:http://www.mdpi.com/1996-1073/11/3/680

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