Schlumberger Technology Corporation

Vanessa Simoes

Aria Abubakar

Hiren Maniar

Tao Zhao

A method includes receiving first training well logs, generating second training well logs by injecting one or more different types of systematic errors, random errors, or both into at least a portion of the first training well logs, training a machine learning model to correct well logs by configuring the machine learning model to reduce a dissimilarity between at least a portion of the first and second training well logs, receiving one or more implementation well logs, and generating one or more corrected well logs by correcting at least a portion of the one or more implementation well logs using the machine learning model that was trained.

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Houston, TX, United States of America

Vanessa Simoes