Abstract: The present disclosure relates generally to the field of drilling operations. More particularly, the present disclosure relates to methods for drilling wells utilizing drilling equipment, more particularly drill string assemblies, and making adjustments to drilling parameters during the drilling operation based on analysis of the drilling data. Included are methods for the selection of modified drilling parameters to mitigate torsional vibration dysfunction.

Abstract: A method of optimizing drilling ramp-up is provided herein. More specifically, a method of ramping up a drilling operation from a static condition (0, 0) to optimum drilling parameter values (WOB*, RPM*) is provided. The method includes identifying a set of drilling control variables used in forming the wellbore. Examples include weight-on-bit (WOB) and rate of penetration (RPM). The method additionally includes selecting desired control variable values for a first identified drilling stage. The values may be generically referred to as (V1, V2). The method also includes increasing the drilling control variables from (0, 0) to pre-defined drilling control variable values (V1, V2). Preferably, V1 is a WOB value while V2 is a rotation speed value (RPM). The method also comprises monitoring a performance index (PI), wherein (PI) is a combination of torque (TQ) and penetration rate (RPM).

Abstract: The present disclosure relates generally to the field of drilling operations. More particularly, the present disclosure relates to methods for drilling wells utilizing drilling equipment, more particularly drill string assemblies, and making adjustments to drilling parameters during the drilling operation based on analysis of the drilling data. Included are methods for the selection of modified drilling parameters to mitigate torsional vibration dysfunction.

Abstract: The present disclosure relates generally to the field of drilling operations. More particularly, the present disclosure relates to methods for drilling wells utilizing drilling equipment, more particularly drill string assemblies, and predicting modified drilling operation conditions based on proposed changes to the drill string configuration and/or the drilling parameters. Included are methods for drilling wells utilizing a method for the selection of modified drill string assemblies and/or modified drilling parameters.

Abstract: Methods and systems for controlling a drilling operation based on an MSE value calculated for a depth increment are disclosed herein. In an exemplary method, drilling parameters characterizing a drilling operation in a subterranean formation are received in a control system. The drilling parameters are used by the control system to calculate a depth-based mechanical specific energy (MSE) based on some amount of energy expended by at least a portion of a drilling assembly while drilling at least one identified depth sub-interval of a depth interval of a subterranean formation. The control system uses the calculated depth-based MSE to control the drilling operation.

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 method to drill a borehole or wellbore through an earthen formation using a drill bit on a drillstring, comprising the steps of: selecting a frequency-domain dynamic model of a drilling assembly that describes the dynamic response of the drilling assembly to excitation at an excitation frequency for operating at a set of selected drilling parameters that include at least rotary speed and weight on bit; calculating a composite vibration index by combining calculated vibration indices for each excitation frequency with the spectral weighting factors for each of the drilling parameter partitions; displaying said composite vibration index for each of the drilling parameter partitions; selecting preferred drilling parameters based on the displayed results, and using the preferred drilling parameters to drill a borehole with the modeled drilling assembly.

Abstract: A method of optimizing drilling ramp-up is provided herein. More specifically, a method of ramping up a drilling operation from a static condition (0, 0) to optimum drilling parameter values (WOB*, RPM*) is provided. The method includes identifying a set of drilling control variables used in forming the wellbore. Examples include weight-on-bit (WOB) and rate of penetration (RPM). The method additionally includes selecting desired control variable values for a first identified drilling stage. The values may be generically referred to as (V1, V2). The method also includes increasing the drilling control variables from (0, 0) to pre-defined drilling control variable values (V1, V2). Preferably, V1 is a WOB value while V2 is a rotation speed value (RPM). The method also comprises monitoring a performance index (PI), wherein (PI) is a combination of torque (TQ) and penetration rate (RPM).

Abstract: The present disclosure relates generally to the field of drilling operations. More particularly, the present disclosure relates to methods for drilling wells utilizing drilling equipment, more particularly drill string assemblies, and predicting modified drilling operation conditions based on proposed changes to the drill string configuration and/or the drilling parameters. Included are methods for drilling wells utilizing a method for the selection of modified drill string assemblies and/or modified drilling parameters.

Abstract: A method to drill a borehole or wellbore through an earthen formation using a drill bit on a drillstring, comprising the steps of: selecting a frequency-domain dynamic model of a drilling assembly that describes the dynamic response of the drilling assembly to excitation at an excitation frequency for operating at a set of selected drilling parameters that include at least rotary speed and weight on bit; calculating a composite vibration index by combining calculated vibration indices for each excitation frequency with the spectral weighting factors for each of the drilling parameter partitions; displaying said composite vibration index for each of the drilling parameter partitions; selecting preferred drilling parameters based on the displayed results, and using the preferred drilling parameters to drill a borehole with the modeled drilling 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: 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: Methods and systems for controlling a drilling operation based on an MSE value calculated for a depth increment are disclosed herein. In an exemplary method, drilling parameters characterizing a drilling operation in a subterranean formation are received in a control system. The drilling parameters are used by the control system to calculate a depth-based mechanical specific energy (MSE) based on some amount of energy expended by at least a portion of a drilling assembly while drilling at least one identified depth sub-interval of a depth interval of a subterranean formation. The control system uses the calculated depth-based MSE to control the drilling operation.

Abstract: Methods and systems for detecting downhole bit dysfunction in a drill bit penetrating a subterranean formation comprising receiving a plurality of drilling parameters characterizing a wellbore drilling operation and calculating bit aggressiveness (?) at each of a plurality of points during drilling, wherein each point corresponds to time, depth, or both. A depth-of-cut (DOC), time derivative of bit aggressiveness ({dot over (?)}), calculated as d?/dt, or both, is calculated at each of the plurality of points. A two-dimensional data representation of the plurality of points, comprising ? in one dimension and DOC, {dot over (?)}, or both, in another dimension is created. Data features are extracted from the two-dimensional data representation and downhole bit dysfunction is identified by comparing the extracted data features with predefined criteria.

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: 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: 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.