Abstract:
In accordance with some embodiments of the present disclosure, systems and methods for a feedback based toolface control system for a rotary steerable drilling tool is disclosed. The method includes determining a desired toolface of a drilling tool, calculating a toolface error, calculating a correction to correct the toolface error by: estimating, using a model, an output of each of a plurality of states of the model based on an input to each of the states of the model and determining a desired input to each of the plurality of states, beginning at the toolface, based on a desired output of at least one of the plurality of states connected to a particular state, transmitting the signal to the input component of the drilling tool such that the signal adjusts the current toolface based on the correction, and drilling a wellbore with a drill bit oriented at the desired toolface.
Abstract:
Two control strategies may be implemented to optimize mud circulation in a drilling mud circulation system. In a networked control strategy, the mud circulation system does not involve any centralized controller yet all the local controllers can exchange information in real-time via a central data storage. The master-slave control strategy involves a centralized optimizer, and the subsystems are treated as slave systems and are driven by a visual master control system.
Abstract:
Methods control systems for viscosity and density control may include a frequency loop shaping filter for shaping the frequency response in real-time for a multiple inputs multiple outputs (MIMO) system. For example, a method may include drilling a wellbore while circulating a drilling mud through a viscosity and density control system that includes one of: a mechanical separation system, a dilution system, a chemical additive regulation system, and any combination thereof; applying a frequency loop shaping filter to a desired mud viscosity and a desired mud density to produce control signals: a first control signal for the mechanical separation system, a second control signal for the dilution system, a third control signal for the chemical additive regulation system, and any combination thereof; and applying the control signals to the corresponding systems to alter the drilling mud to have a controlled viscosity value and a controlled density value.
Abstract:
A fracture model for a hydraulic fracture in a wellbore can be updated and calibrated. Information about a microseismic event can be received from a sensor that is monitoring a subterranean formation. The information can be received subsequent to a fracking fluid being introduced into the formation. An observed geometry of a hydraulic fracture can be determined based on the information and a predicted geometry of the fracture can be determined based on properties of the fracking fluid and a fracture model. The fracture model can be updated using the information about the microseismic event where it is determined that an uncertainty value of the observed geometry does not exceed a pre-set maximum. The uncertainty value can be based on the predicted geometry of the hydraulic fracture.
Abstract:
Uncertainty in microseismic monitoring sensor data can be reduced. A computing device can receive information about at least one sensor that is monitoring a subterranean formation, including a location, after a fracturing fluid is introduced into the formation. The computing device can also receive information about a microseismic event and determine a seismic ray bath between a location of the event and the at least one sensor, and an uncertainty value of the location based on information about the formation and the information about the event. The computing device can determine a total uncertainty value associated with the locations of a plurality of microseismic events, including the microseismic event. The computing device can determine a solution to an objective function based on the total uncertainty value and a number of sensors. The computing device can determine a new location of the at least one sensor based on the solution.
Abstract:
Techniques for controlling a bottom hole assembly (BHA) in a wellbore include determining a model of BHA dynamics; determining a predicted wellbore trajectory, based on the model of BHA dynamics; and determining an uncertainty of the predicted wellbore trajectory.
Abstract:
In accordance with some embodiments of the present disclosure, systems and methods for a nonlinear toolface control system for a rotary steerable drilling tool is disclosed. The method includes determining a desired toolface of a drilling tool, calculating a toolface error by determining a difference between a current toolface and the desired toolface, generating a model to describe the dynamics of the drilling tool, modify the model, based on at least one intermediate variable, to create a modified model, calculating a correction to reduce the toolface error, the correction based on the modified model, transmitting a signal to the drilling tool such that the signal adjusts the current toolface based on the correction, and drilling a wellbore with a drill bit oriented at the desired toolface.
Abstract:
Uncertainty of microseismic monitoring results can be reduced to improve hydraulic fracture modeling. A computing device can use a fracture model to determine a predicted geometry of a hydraulic fracture in a subterranean formation based on properties of a fracturing fluid that is introduced into the subterranean formation. An uncertainty index of the predicted geometry of the hydraulic fracture can be determined based on an uncertainty value of the predicted geometry and a trend of uncertainty values. When the injection flow rate of the fracturing fluid is less than a maximum flow rate, it can be increased from an initial injection flow rate to an increased injection flow rate in response to determining the uncertainty index exceeds a pre-set maximum.
Abstract:
In accordance with some embodiments of the present disclosure, a method for optimal vibration control for a wellbore logging tool is disclosed. The method may include retrieving a plurality of optimal drive signals, each of the optimal drive signals corresponding to at least one of a plurality of wellbore environmental conditions and calculated to minimize vibration of a wellbore logging tool. The method may further include obtaining an initial wellbore environmental condition. The method may include matching the initial wellbore environmental condition to an optimal drive signal stored in the plurality of optimal drive signals. The method may also include generating a drive signal for the wellbore logging tool based on the matching.
Abstract:
Techniques for controlling a bottom hole assembly (BHA) in a wellbore include determining a model of BHA dynamics; determining a predicted wellbore trajectory, based on the model of BHA dynamics; and determining an uncertainty of the predicted wellbore trajectory.