A system or method for drilling includes autonomously controlling a rotary or percussive drilling process as it transitions through multiple materials with very different dynamics. The method determines a drilling medium based on real-time measurements and comparison to prior drilling data, and identifies the material type, drilling region, and approximately optimal setpoint based on data from at least one operating condition. The controller uses these setpoints initially to execute an optimal search to maximize performance by minimizing mechanical specific energy. Near-bit depth-of-cut estimations are performed using a machine learning prediction deployed in an embedded processor to provide high-speed ROP estimates. The sensing capability is coupled with a near-bit clutching mechanism to support drilling dysfunction mitigation.

A system or method for drilling includes autonomously controlling a rotary or percussive drilling process as it transitions through multiple materials with very different dynamics. The method determines a drilling medium based on real-time measurements and comparison to prior drilling data, and identifies the material type, drilling region, and approximately optimal setpoint based on data from at least one operating condition. The controller uses these setpoints initially to execute an optimal search to maximize performance by minimizing mechanical specific energy. Near-bit depth-of-cut estimations are performed using a machine learning prediction deployed in an embedded processor to provide high-speed ROP estimates. The sensing capability is coupled with a near-bit clutching mechanism to support drilling dysfunction mitigation.

A system is described for calculating and outputting micro invisible lost time (MILT). The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. Time-stamp data that includes values of drilling parameters may be received about a drilling operation, and the values of drilling parameters may be classified into a rig state that includes rig activities. For each rig activity, an actual completion time may be determined and compared to an expected completion time for determining a deviation. At least one deviated activity, in which the deviation is greater than a threshold, may be determined. Deviations may be combined into MILT that can be output for controlling the drilling operation.

A system is described for calculating and outputting micro invisible lost time (MILT). The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. Time-stamp data that includes values of drilling parameters may be received about a drilling operation, and the values of drilling parameters may be classified into a rig state that includes rig activities. For each rig activity, an actual completion time may be determined and compared to an expected completion time for determining a deviation. At least one deviated activity, in which the deviation is greater than a threshold, may be determined. Deviations may be combined into MILT that can be output for controlling the drilling operation.

A rock breaking device and a method of monitoring a condition of a tool of a rock breaking device is provided. The rock breaking device includes a frame, a tool, a device for generating stress waves in the tool, measuring means for measuring the stress wave propagating in the tool and at least one computing unit for monitoring a condition of the tool on the basis of the measured stress wave. The at least one computing unit is configured to determine a condition of the tool on the basis of a time of propagation of at least one reflected stress wave component of the stress wave and at least one additional property of the same reflected stress wave component.

A rock breaking device and a method of monitoring a condition of a tool of a rock breaking device is provided. The rock breaking device includes a frame, a tool, a device for generating stress waves in the tool, measuring means for measuring the stress wave propagating in the tool and at least one computing unit for monitoring a condition of the tool on the basis of the measured stress wave. The at least one computing unit is configured to determine a condition of the tool on the basis of a time of propagation of at least one reflected stress wave component of the stress wave and at least one additional property of the same reflected stress wave component.

A method and a system for using machine learning technologies to predict the value and timing of operational parameters. These predictions are then used to identify the risk of certain well incidents to occur, and if so notify responsible personnel thereof as to allow preventive actions to be taken.

A method and a system for using machine learning technologies to predict the value and timing of operational parameters. These predictions are then used to identify the risk of certain well incidents to occur, and if so notify responsible personnel thereof as to allow preventive actions to be taken.

A method of subterranean drilling comprising monitoring at least one drilling criteria at the surface; communicating a marker signal to a bottom hole assembly of a drill string upon meeting a condition of the at least one drilling criteria; and repeating the marker signal at least two consecutive times the condition is met. In an embodiment, the marker signal can be repeated every time the condition is met. A system for subterranean drilling comprising a drill rig adapted to monitor at least one drilling criteria at the surface; a communication element adapted to communicate a marker signal to a bottom hole assembly of a drill string upon meeting a condition of the at least one drilling criteria, wherein the communication element is adapted to communicate the marker signal to the bottom hole assembly at least two consecutive times the condition is met.

A method of subterranean drilling comprising monitoring at least one drilling criteria at the surface; communicating a marker signal to a bottom hole assembly of a drill string upon meeting a condition of the at least one drilling criteria; and repeating the marker signal at least two consecutive times the condition is met. In an embodiment, the marker signal can be repeated every time the condition is met. A system for subterranean drilling comprising a drill rig adapted to monitor at least one drilling criteria at the surface; a communication element adapted to communicate a marker signal to a bottom hole assembly of a drill string upon meeting a condition of the at least one drilling criteria, wherein the communication element is adapted to communicate the marker signal to the bottom hole assembly at least two consecutive times the condition is met.