Drilling/completion fluids

Neural Networks Help Classify Reservoirs by Recognizing Cuttings Lithologies

Advances during the past decade in using convolutional neural networks for visual recognition of discriminately different objects means that now object recognition can be achieved to a significant extent.

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Drill cuttings and core images often present classification problems. Development of an unbiased objective system that can overcome the various issues creating these difficulties is an important goal. Advances during the past decade in using convolutional neural networks (CNNs) for visual recognition of discriminately different objects means that now object recognition can be achieved to a significant extent. The benefit of such a system would be improvement of reservoir understanding by having all available images classified in a consistent manner, thus keeping characterization consistent as well.

CNNs

A CNN is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data.

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