Exxonmobil Upstream Research Company

Exxonmobil Technology and Engineering Company

David J Schmidt

Krishnan Kumaran

Paul E Pastusek

Thomas A Badgwell

Donald Allen Burnett

A method of identifying hydrocarbon production information is disclosed. In in a first hydrocarbon management environment, a first audio signal is detected and a characteristic acoustic fingerprint is identified therefrom. The fingerprint is stored in a memory, along with identifying information associated with the first signal. A second audio signal is detected and a characteristic acoustic fingerprint is identified therefrom. The fingerprints are compared, and if the fingerprints match the identifying information of the first audio signal is assigned to the second audio signal. A notification regarding the matching of the characteristic acoustic fingerprints of the first and second audio signals is issued.

Method and system for acoustic monitoring and pattern recognition in hydrocarbon management activities

A method and controller system are described for automatically tuning a controller of a drilling rig. The controller system includes a controller that determines a moving average of measured values, determines a moving standard deviation of the measured values, defines an outer zone of measured values with the determined moving average and the determined moving standard deviation, defines an inner zone of measured values with the determined moving average and the determined moving standard deviation, monitors the measured values for the occurrence of statistical events with respect to the outer zone and inner zone. Based on the detected statistical event, the controller adjusts the gain of the controller the based on the statistical event being associated with the outer zone or inner zone.

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Morristown, NJ, United States of America

David J Schmidt