Abstract: A drilling system includes a drill string, a plurality of sensors, and a computing system. The drill string includes a downhole motor. The sensors are coupled to the drill string. The computing system is coupled to the sensors. The computing system is configured to compute, based on measurements provided by the sensors, a motor stall index, and to determine, by comparing the motor stall index to a motor stall threshold, whether the downhole motor has stalled. The computing system is also configured to, responsive to a determination that the downhole motor has stalled, adjust operation of the drill string to restart the downhole motor.

Abstract: Tagging bottom utilizing an automated control system and downhole tools may include determining, by a computer processor, that a drill bit has reached a predetermined distance from a bottom of a wellbore, in response to determining that the bit has reached the predetermined depth, transmitting a rate of penetration set point to reduce a lowering speed of the drill bit, directing the drill bit based on the rate of penetration, determining, by the computer processor, that the rate of penetration is stable, in response to the determining that the rate of penetration has stabilized, automatically taring a surface weight on the drill bit and a differential pressure, and in response to determining that the bit is within a predetermined off bottom range, monitoring for a true bottom based on one or more parameter triggers.

Abstract: Detecting a breakover event during a friction test includes obtaining a hookload measurement for each of a series of time windows and generating a linear model and a nonlinear model from the plurality of hookload measurements. During run time, from the nonlinear model, an inflection point is identified from the nonlinear model, where the inflection point is determined to have occurred at a particular time window. A hookload value associated with the linear model, and a hookload value associated with the nonlinear model is determined for the particular time window. A breakover event is determined to have occurred at the particular time when the hookload value associated with the linear model at the particular time window exceeds the hookload value associated with the nonlinear model at the particular time window.

Abstract: A method for optimizing performance of a drilling process by an automated control system for drilling, comprising obtaining a measure of performance for each drilling activity of a set of drilling activities for the drilling process; calculating an activity performance index for each drilling activity by obtaining reference data for each drilling activity, comparing the measures of performance for each drilling activity to the reference data for the particular drilling activity, calculating the activity performance index for each drilling activity based on the comparison; generating a drilling process performance index based on the activity performance indexes; comparing, for each of the drilling activities, a configuration of one or more drilling parameters to a reference configuration of drilling parameters associated with the reference data for the particular drilling activity; and adjusting the configuration of one or more drilling parameters associated with one or more drilling activities based on the co

Abstract: Tagging bottom utilizing an automated control system and downhole tools may include determining, by a computer processor, that a drill bit has reached a predetermined distance from a bottom of a wellbore, in response to determining that the bit has reached the predetermined depth, transmitting a rate of penetration set point to reduce a lowering speed of the drill bit, directing the drill bit based on the rate of penetration, determining, by the computer processor, that the rate of penetration is stable, in response to the determining that the rate of penetration has stabilized, automatically taring a surface weight on the drill bit and a differential pressure, and in response to determining that the bit is within a predetermined off bottom range, monitoring for a true bottom based on one or more parameter triggers.

Abstract: Detecting a breakover event during a friction test includes obtaining a hookload measurement for each of a series of time windows and generating a linear model and a nonlinear model from the plurality of hookload measurements. During run time, from the nonlinear model, an inflection point is identified from the nonlinear model, where the inflection point is determined to have occurred at a particular time window. A hookload value associated with the linear model, and a hookload value associated with the nonlinear model is determined for the particular time window. A breakover event is determined to have occurred at the particular time when the hookload value associated with the linear model at the particular time window exceeds the hookload value associated with the nonlinear model at the particular time window.

Abstract: Optimizing performance of an automated control system for drilling may include obtaining instructions to deploy a plurality of event-driven drilling activities comprising a drilling process, obtaining default parameters for a first instance of a first activity of the event-driven drilling activities, deploying the first activity of the drilling activities using the default parameters, comprising performing signal analysis on signal data from one or more sensors utilized for the first activity. Optimizing performance of an automated control system for drilling may also include detecting a trigger for a first instance of a second activity using the default parameters, and determining a trigger signature based on the signal analysis when the trigger for the first instance of the second activity is detected, wherein, when a second instance of the first activity is deployed, the trigger signature is utilized to trigger the deployment of a second instance of the second activity.

Abstract: A drilling system includes a drill string, a plurality of sensors, and a computing system. The drill string includes a downhole motor. The sensors are coupled to the drill string. The computing system is coupled to the sensors. The computing system is configured to compute, based on measurements provided by the sensors, a motor stall index, and to determine, by comparing the motor stall index to a motor stall threshold, whether the downhole motor has stalled. The computing system is also configured to, responsive to a determination that the downhole motor has stalled, adjust operation of the drill string to restart the downhole motor.

Abstract: A method for optimizing performance of a drilling process by an automated control system for drilling, comprising obtaining a measure of performance for each drilling activity of a set of drilling activities for the drilling process; calculating an activity performance index for each drilling activity by obtaining reference data for each drilling activity, comparing the measures of performance for each drilling activity to the reference data for the particular drilling activity, calculating the activity performance index for each drilling activity based on the comparison; generating a drilling process performance index based on the activity performance indexes; comparing, for each of the drilling activities, a configuration of one or more drilling parameters to a reference configuration of drilling parameters associated with the reference data for the particular drilling activity; and adjusting the configuration of one or more drilling parameters associated with one or more drilling activities based on the co