Abstract: Methods and systems for optimizing timing for drilling and tripping operation. An example method may include receiving a plurality of sensor data characterizing rig equipment and tripping status. The method may include identifying a plurality of multi-thread rig states based on the plurality of sensor data. The method calculates a plurality of optimal rig state characteristics (RSCs), wherein the plurality of optimal RSCs are calculated based on the plurality of sensor data as it relates to the plurality of multi-thread rig states. The method also performs a tripping operation with the rig equipment after applying the plurality of optimal RSCs. The method may also gather a plurality of updated sensor data from the rig equipment during the tripping operation for a recalculation of the plurality of optimal RSCs.

Abstract: 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.

Abstract: A method for characterizing damage to bits or bottom hole assemblies can include identifying, via a supervised learning model, a location, an extent, a type, a consistency, or any combination thereof of damage to a bit or a bottom hole assembly from an image of the bit or the bottom hole assembly. A graphical output is generated based on the damage to the at least one component of the bit or the bottom hole assembly.

Abstract: Methods and systems for optimizing timing for drilling and tripping operation. An example method may include receiving a plurality of sensor data characterizing rig equipment and tripping status. The method may include identifying a plurality of multi-thread rig states based on the plurality of sensor data. The method calculates a plurality of optimal rig state characteristics (RSCs), wherein the plurality of optimal RSCs are calculated based on the plurality of sensor data as it relates to the plurality of multi-thread rig states. The method also performs a tripping operation with the rig equipment after applying the plurality of optimal RSCs. The method may also gather a plurality of updated sensor data from the rig equipment during the tripping operation for a recalculation of the plurality of optimal RSCs.

Abstract: Zonal isolation devices including sensing and wireless telemetry and methods of utilizing the same are disclosed herein. The zonal isolation devices include an isolation body, a sensor, and a wireless telemetry device. The zonal isolation devices may be incorporated into a hydrocarbon well that also includes a wellbore and a wireless data transmission network. The methods include methods of conveying a wireless signal within a well. The methods include detecting a property of the well, transmitting a wireless output signal, conveying the wireless output signal, and receiving the wireless output signal.

Abstract: A method for characterizing damage to bits or bottom hole assemblies can include identifying, via a supervised learning model, a location, an extent, a type, a consistency, or any combination thereof of damage to a bit or a bottom hole assembly from an image of the bit or the bottom hole assembly. A graphical output is generated based on the damage to the at least one component of the bit or the bottom hole assembly.

Abstract: Methods for drilling a wellbore within a subsurface region and drilling assemblies and systems that include and/or utilize the methods are disclosed herein. The methods include receiving a plurality of drilling performance indicator maps, normalizing the plurality of drilling performance indicator maps to generate a plurality of normalized maps, adaptive trending of the plurality of drilling performance indicator maps to generate a plurality of trended maps, summing the plurality of trended maps to generate an objective map, selecting a desired operating regime from the objective map, and adjusting at least one drilling operational parameter of a drilling rig based, at least in part, on the desired operating regime.

Abstract: A controller system, comprising: a controller configured to control toward a desired process value, an arrangement to repetitively measure a value of the desired process value; wherein the controller is configured to execute a routine that: determines a moving average of the measured values, determines a moving standard deviation of the measured values, defines an outer zone of measured values with the determined moving average and a first plurality of the determined moving standard deviation, defines an inner zone of measured values with the determined moving average and a second plurality of the determined moving standard deviation, monitors the measured values for the occurrence of a first statistical event with respect to the outer zone and adjusting a gain of the controller by a first factor upon detection of the first statistical event, monitors the measured values for the occurrence of a second statistical event with respect to the inner zone and adjusting a gain of the controller by a second factor up

Abstract: Zonal isolation devices including sensing and wireless telemetry and methods of utilizing the same are disclosed herein. The zonal isolation devices include an isolation body, a sensor, and a wireless telemetry device. The zonal isolation devices may be incorporated into a hydrocarbon well that also includes a wellbore and a wireless data transmission network. The methods include methods of conveying a wireless signal within a well. The methods include detecting a property of the well, transmitting a wireless output signal, conveying the wireless output signal, and receiving the wireless output signal.

Abstract: A stabilizer design for improving the likelihood of recovery of a drill string when obstructions are encountered in a wellbore is disclosed herein. The stabilizer includes a tubular body, a track, and a stabilizer blade. The track is disposed along the tubular body. The stabilizer blade is operatively coupled to the track and is configured to slide along the track from a first position to a second position.

Abstract: Methods for drilling a wellbore within a subsurface region and drilling assemblies and systems that include and/or utilize the methods are disclosed herein. The methods include receiving a plurality of drilling performance indicator maps, normalizing the plurality of drilling performance indicator maps to generate a plurality of normalized maps, adaptive trending of the plurality of drilling performance indicator maps to generate a plurality of trended maps, summing the plurality of trended maps to generate an objective map, selecting a desired operating regime from the objective map, and adjusting at least one drilling operational parameter of a drilling rig based, at least in part, on the desired operating regime.

Abstract: Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.

Abstract: Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Abstract: Integrated methods and systems for optimizing drilling related operations include global search engines and local search engines to find an optimal value for at least one controllable drilling parameter, and decision trees to select algorithms such as between learning mode algorithms and application mode algorithms for generating operational recommendations based on the results from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Abstract: A stabilizer design for improving the likelihood of recovery of a drill string when obstructions are encountered in a wellbore is disclosed herein. The stabilizer includes a tubular body, a track, and a stabilizer blade. The track is disposed along the tubular body. The stabilizer blade is operatively coupled to the track and is configured to slide along the track from a first position to a second position.

Abstract: Method to estimate severity of downhole vibration for a drill tool assembly, including: identifying a dataset comprising selected drill tool assembly parameters; selecting a reference level of downhole vibration amplitude for the drill tool assembly; identifying a surface drilling parameter and calculating a reference surface vibration attribute for the selected reference level of downhole vibration amplitude; determining a surface parameter vibration attribute derived from at least one surface measurement or observation obtained in a drilling operation, the determined surface parameter vibration attribute corresponding to the identified surface drilling parameter; and estimating a downhole vibration severity indicator by evaluating the determined surface parameter vibration attribute with respect to the identified reference surface vibration attribute.

Abstract: Integrated methods and systems for optimizing drilling related operations include recording data, parsing the data into intervals and analyzing the intervals to determine if the performance data in each time interval is of sufficient quality for using the interval data in a performance optimization process. The quality assessment may involve evaluating the data against a set of determined standards or ranges. The performance optimization process may utilize data mapping and/or modeling to make performance optimization process recommendations.

Abstract: Method to estimate severity of downhole vibration for a wellbore drill tool assembly, comprising: identifying a dataset comprising selected drill tool assembly parameters; selecting a reference downhole vibration index for the drill tool assembly; identifying a surface parameter and calculating a reference surface vibration attribute for the selected reference downhole vibration index; determining a surface vibration attribute derived from at least one surface measurement or observation obtained in a drilling operation, the determined surface vibration attribute corresponding to the identified surface parameter; and estimating a downhole vibration index by evaluating the determined surface vibration attribute with respect to the identified reference surface vibration attribute.

Abstract: Combined methods and systems for optimizing drilling related operations include global search engines and local search engines to find the optimal value for at least one controllable drilling parameter, and a data fusion module to combine or select the operational recommendations from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.

Abstract: Integrated methods and systems for optimizing drilling related operations include global search engines and local search engines to find an optimal value for at least one controllable drilling parameter, and decision trees to select algorithms such as between learning mode algorithms and application mode algorithms for generating operational recommendations based on the results from global and local search engines. The operational recommendations are used to optimize the objective function, mitigate dysfunctions, and improve drilling efficiency.