Abstract: Methods and compositions for estimating one or more downhole qualities of a drilling apparatus by obtaining axial acceleration data. The axial acceleration data may be acquired by measuring an axial acceleration of a bottom hole assembly. The axial acceleration may then be used to estimate one or more of a downward weight on a drill bit of the drilling apparatus or a rate of penetration of the drill bit.

Abstract: A method may include dividing a wellplan into one or more section using a section detection algorithm, receiving a depth measurement of a drill bit or a bottom hole assembly located in a wellbore, utilizing the section detection algorithm and the depth measurement to identify a section of the wellplan from the one or more sections of the wellplan, and identifying a target based at least in part on the identified section. The method may further include determining one or more steering commands based at least in part on the target and a control algorithm and steering the bottom hole assembly to the target using the one or more steering commands.

Abstract: A variety of methods, systems, and apparatus are disclosed, including, in one embodiment a method of steering a drilling bit including: determining at least one control command to a drilling system, wherein the control command includes a combination of one or more nominal control commands output from a feedforward controller and one or more control command error values output from a feedback controller operating in an error space; and directing the drill bit of the drilling system in the wellbore based on at least the control command to extend the wellbore towards a planned depth-based wellbore trajectory.

Abstract: Current disclosure proposes calibration methodology that uses the knowledge learned from historical data and real-time data to update a simplified physics-based borehole propagation model for real time steering control of a directional drilling system. The proposed methodology updates model parameters of the simplified physics-based model in real time through a process of setting up and optimizing an objective function, which indicates the difference between the estimated trajectory and the feedback from the real-time data. Penalizing terms, which prevent the parameters from deviating drastically from the prior knowledge of the parameter, and various components of the objective function are learned from the historical data. As a result, the updated model can accurately estimate and predict the system behavior allowing an input sequence of the system to be accurately mapped to the output response.

Abstract: A variety of methods, systems, and apparatus are disclosed, including, in one embodiment a method of steering a drilling bit including: determining at least one control command to a drilling system, wherein the control command includes a combination of one or more nominal control commands output from a feedforward controller and one or more control command error values output from a feedback controller operating in an error space; and directing the drill bit of the drilling system in the wellbore based on at least the control command to extend the wellbore towards a planned depth-based wellbore trajectory.

Abstract: A method or system for increasing drilling accuracy. The method and system may comprise generating one or more measurements of at least a first drilling parameter and a second drilling parameter, determining a relationship between the first drilling parameter and the second drilling parameter, creating one or more constraints from the relationship, and minimizing a cost function using the one or more constraints. The method and system may further comprise calculating one or more control commands based at least in part on the minimizing the cost function and the one or more constraints and updating a drilling operation according to the one or more control commands.

Abstract: Aspects of the subject technology relate to systems and methods for improving mud motor trajectory controls. Systems and methods are provided for receiving control data from a mud motor trajectory controller, predefining a plurality of control modes based on the control data from the mud motor trajectory controller, achieving desired slide rotate ratios and toolface angles by solving an established objective function that mathematically represents operational preferences and system constraints for a selected control mode of the plurality of control modes, generating a modulation procedure that converts the slide-rotate ratios to a binary slide and rotate control sequence, and applying the modulation procedure to generate the binary slide and rotate control sequence.

Abstract: A method of drilling tendency estimation including receiving, at a processor, one or more directional sensor measurements from a drilling tool disposed on a drill string, processing, at the processor, the one or more directional sensor measurements to determine an actual wellbore trajectory over a defined interval, and identifying, at the processor, a set of directional disturbance parameters by optimization of the actual trajectory of the drilling tool, steering inputs, and/or a set of pre-defined directional disturbance parameters of the drilling tool.

Abstract: A well path for a directional drilling device may be updated by determining a perturbation for a new well path from a current bottom-hole assembly position to a target using the initial well plan (or any well path of reference) as a reference. An initial well plan may be determined for a directional drilling device along with a current actual borehole position of a drilling device along with other parameters such as attitude. With this, a perturbation to the well plan based on the current actual borehole position of a drilling device and a subterranean target maybe determined. Based on this perturbation an updated borehole path may be determined.

Abstract: One or more wellbore trajectories and respective control inputs are determined which meet a wellbore trajectory model, a constraint, and a wellbore length. A wellbore trajectory and respective control input from the one or more wellbore trajectories and respective control inputs are then identified which minimize a cost function associated with the performance objective. The control input associated with this wellbore trajectory are output to a drilling system for drilling a wellbore.

Abstract: One or more wellbore trajectories and respective control inputs are determined which meet a wellbore trajectory model, a constraint, and a wellbore length. A wellbore trajectory and respective control input from the one or more wellbore trajectories and respective control inputs are then identified which minimize a cost function associated with the performance objective. The control input associated with this wellbore trajectory are output to a drilling system for drilling a wellbore.

Abstract: One or more sensors are positioned downhole in a wellbore of a geological formation. One or more survey directional measurements associated with the wellbore are performed and one or more continuous directional measurements associated with the wellbore are performed. A wellbore trajectory model projects a trajectory of the wellbore to respective measured depths where at least one of the one or more survey directional measurements and one or more continuous directional measurements were performed to predict one or more directional measurements of the wellbore at the respective measured depths. One or more errors are determined based on the predicted one or more directional measurements, the one or more survey directional measurements, and the one or more continuous directional measurements. The wellbore trajectory model is calibrated based on the one or more errors.

Abstract: A method of drilling tendency estimation including receiving, at a processor, one or more directional sensor measurements from a drilling tool disposed on a drill string, processing, at the processor, the one or more directional sensor measurements to determine an actual wellbore trajectory over a defined interval, and identifying, at the processor, a set of directional disturbance parameters by optimization of the actual trajectory of the drilling tool, steering inputs, and/or a set of pre-defined directional disturbance parameters of the drilling tool.

Abstract: A drilling optimization method including perturbing one or more drilling control parameters with a periodic or a stochastic signal during a drilling process, estimating at least one drilling performance measure to optimize the drilling process based on the perturbed one or more drilling control parameters, perturbing the at least one drilling performance measure with a periodic or a stochastic perturbation source through demodulation, determine a next best estimate of the one or more drilling control parameters to optimize the at least one drilling performance measure, perturbing the next best estimate by a periodic or a stochastic perturbation source through modulation, and feeding the perturbation next best estimates of the one or more drilling control parameters back to the drilling process.