A method includes providing a Bottom Hole Assembly (BHA) in a wellbore. The BHA includes a rotary steerable system and a downhole attitude correction and control system. The downhole correction and control system includes a first sensor set, the sensors of the first sensor set positioned near ferromagnetic components of a drill string and a second sensor set, the sensors of the second sensor set positioned further from the ferromagnetic components of the drill string than the sensors of the first sensor set. Corrupted data from the first sensor set and reference data from the second sensor set is obtained, the corrupted data including cross-axis magnetometer and accelerometer measurements. The method additionally includes correcting the corrupted sensor data to form corrected sensor measurements and calculating an estimated azimuth from the corrected sensor measurements. The method further includes steering the rotary steerable system based on the estimated azimuth.

Provided is a wellbore tractor and method for operating a well system. The wellbore tractor, in one aspect, includes a base member, and one or more turbines fixed to the base member for rotating the base member in a first rotational direction based upon a first direction of fluid flow. The wellbore tractor, according to this aspect, further includes one or more wellbore engaging devices radially extending from the base member, the one or more wellbore engaging devices contactable with a surface of a wellbore for displacing the base member and one or more turbines axially downhole as the one or more turbines rotate in the first rotational direction.

An integrated data recorder may be positioned within a slot in a tool. The integrated data recorder includes a sensor package that includes one or more drilling dynamics sensors, a processor in data communication with the one or more drilling dynamics sensors, a memory module in data communication with the one or more drilling dynamics sensors, a wireless communications module in data communication with the processor, and an electrical energy source in electrical communication with the memory module, the one or more drilling dynamics sensors, and the processor.

The present application pertains in one embodiment to a sensor sub for use in a drillstring having a drill bit on a distal end for drilling a wellbore in a formation. The sensor sub comprises a tool body having a longitudinal axis; a first pocket on the tool body wherein said first pocket extends radially inward from an outer surface of the tool body and a second pocket on the tool body wherein said second pocket extends radially inward from an outer surface of the tool body. The first pocket comprises a first sensor selected from a type consisting of resistivity sensor, a sonic sensor, an ultrasonic sensor; a pressure sensor; an electrical imaging sensor; a gamma sensor; a density sensor; a neutron sensor; an acoustic sensor, an accelerometer, a magnetometer, and a gyroscope. The second pocket comprises a second sensor selected from a type consisting of resistivity sensor, a sonic sensor, an ultrasonic sensor; a pressure sensor; an electrical imaging sensor; a gamma sensor; a density sensor; a neutron sensor; an acoustic sensor; an accelerometer, a magnetometer, and a gyroscope. The first sensor and the second sensor are each a different type. A control unit may be operably connected to the first sensor and the second sensor such that the control unit is configured to determine the type of sensor, send data to the first and second sensor, and receive data from the first and second sensor.

An integrated data recorder may be positioned within a slot in a tool. The integrated data recorder includes a sensor package that includes one or more drilling dynamics sensors, a processor in data communication with the one or more drilling dynamics sensors, a memory module in data communication with the one or more drilling dynamics sensors, a wireless communications module in data communication with the processor, and an electrical energy source in electrical communication with the memory module, the one or more drilling dynamics sensors, and the processor.

Methods, computing systems, and computer-readable media for interpreting drilling dynamics data are described herein. The method can include receiving drilling dynamics data simulated by a processor or collected by a sensor positioned in a drilling tool. The method can further include extracting a feature map from the drilling dynamics data, and determining that a feature zone from the feature map corresponds to a predetermined dynamic state. The feature zone can be determined using a neural network trained to associate feature zones with dynamic states. Additionally, the method can include selecting a drilling parameter for a drill string based on the feature zone.

An integrated data recorder may be positioned within a slot in a tool. The integrated data recorder includes a sensor package that includes one or more drilling dynamics sensors, a processor in data communication with the one or more drilling dynamics sensors, a memory module in data communication with the one or more drilling dynamics sensors, a wireless communications module in data communication with the processor, and an electrical energy source in electrical communication with the memory module, the one or more drilling dynamics sensors, and the processor.

This disclosure presents processes for mitigating wellbore screen-out. The processes can automatically determine an onset of wellbore screen-out by analyzing corrected pressure data from the at least one pressure sensor, select at least one type of mitigation action based on the automatic determination of the onset of the wellbore screen-out, and mitigate the wellbore screen-out with the selected at least one type of mitigation action.

A method for determining a slips status during a drilling operation of a subterranean formation. The method includes capturing, using one or multiple camera devices mounted on a drilling rig of the drilling operation, a plurality of images, each of the plurality of images comprising a portion that corresponds to a slips device of the drilling rig, generating, using a sensor device of the drilling rig, a plurality of parameters of the drilling rig, wherein the plurality of parameters are synchronized with the plurality of images, providing, by a computer processor, the plurality of parameters as input to a machine learning model of the drilling rig, and analyzing, by the computer processor and based on the machine learning model, the plurality of images to generate the slips status.

A flow rate control system includes a housing and a valve assembly slidingly disposed within a housing inner bore. The housing includes bypass openings. The valve assembly includes a valve and an orifice disposed in a valve inner bore. The valve includes a plurality of valve bypass bores extending axially through a valve collar. The valve assembly slides between closed and fully open positions. A spring biases the valve assembly toward the closed position in which the valve closes the housing bypass openings. In the open position, a bypass fluid path is formed including the valve bypass bores and the housing bypass openings. The valve assembly is flow rate controlled in the closed position and pressure controlled in the open position. The valve assembly may slide within a sleeve assembly including sleeve bypass openings, which connect the valve bypass bores and housing bypass openings in the bypass fluid path.