Baker Hughes Corporation

Paul J Lutes

Eric Charles Sullivan

Paul E Pastusek

Tu Tien Trinh

Daryl Pritchard

Keith Glasgow

R Keith Glasgow, Jr

Daryl L Pritchard

Drill bits and methods for sampling sensor data associated with a state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit configured for receiving a data analysis module. The data analysis module comprises at least one sensor, a memory, and a processor. The processor is configured for executing computer instructions to filter information derived from sensor data in the drill bit to develop a piecewise polynomial curve of the sensor data. Filtering information derived from the sensor data comprises approximating a first derivative of a sensor data waveform, calculating a plurality of zeros for the first derivative of the sensor data waveform, and fitting a cubic polynomial between adjacent zeros calculated from the first derivative of the sensor data waveform resulting in a piecewise cubic polynomial.

Method and apparatus for collecting drill bit performance data

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyze the sensor data to develop a severity index, compare the sensor data to at least one adaptive threshold, and modify a data-sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyze the sensor data to develop a severity index, compare the sensor data to at least one adaptive threshold, and modify a data sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyzing the sensor data to develop a severity index, comparing the sensor data to at least one adaptive threshold, and modifying a data sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyze the sensor data to develop a severity index, comparing the sensor data to at least one adaptive threshold, and modifying a data sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

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The Woodlands, TX, United States of America

Paul J Lutes