METHOD AND SYSTEM FOR PREDICTION AND CLASSIFICATION OF INTEGRATED VIRTUAL AND PHYSICAL SENSOR DATA

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United States of America Patent

APP PUB NO 20240093605A1
SERIAL NO

17766775

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The present disclosure is related to improvements in methods for evaluating and predicting responses of virtual sensors to determine formation and fluid properties as well as classifying the predicted as plausible or outlier responses that can indicate the need for maintenance of downhole physical sensors. In one aspect, a method includes detecting a change to a system of operating a wellbore to yield a determination, the system including a virtual sensor, the virtual sensor including a physical sensor placed in the wellbore for collecting one or more physical properties inside the wellbore; and based on the determination, performing one of retraining a machine learning model for predicting an output of the virtual sensor or predicting an output of the virtual sensor using the machine learning mode, the predicted output being indicative of at least one of sub-surface formation or fluid properties inside the wellbore.

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Patent Owner(s)

Patent OwnerAddress
LANDMARK GRAPHICS CORPORATION3000 N SAM HOUSTON PARKWAY E HOUSTON TX 77032

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
MADASU, Srinath Houston, US 76 272
MAROTTA, Egidio Houston, US 17 141
RAMSAY, Travis St George Hockley, US 28 85

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