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.

Systems and methods are provided for identifying one or more properties of a rock formation. A system may be configured to receive sensor data obtained from one or more sensors, the sensor data generated from drilling operations performed in a wellbore, generate stress metrics and strain metrics for the sensor data based on a calibrated stress and strain map, and identify one or more properties of a rock formation based on the stress metrics and the strain metrics.

Systems and methods are provided for identifying one or more properties of a rock formation. A system may be configured to receive sensor data obtained from one or more sensors, the sensor data generated from drilling operations performed in a wellbore, generate stress metrics and strain metrics for the sensor data based on a calibrated stress and strain map, and identify one or more properties of a rock formation based on the stress metrics and the strain metrics.

Systems and methods for processing downhole rotational data. An example method includes commencing operation of a processing device to continually calculate a downhole oscillation index by receiving downhole rotational speed data indicative of downhole rotational speed of at least a portion of a drill string during drilling operations, calculating a fundamental oscillation time period of the drill string, calculating a time length of a time window based on the fundamental oscillation time period, and processing the downhole rotational speed data encompassed within the time window.

Systems and methods for processing downhole rotational data. An example method includes commencing operation of a processing device to continually calculate a downhole oscillation index by receiving downhole rotational speed data indicative of downhole rotational speed of at least a portion of a drill string during drilling operations, calculating a fundamental oscillation time period of the drill string, calculating a time length of a time window based on the fundamental oscillation time period, and processing the downhole rotational speed data encompassed within the time window.

Systems and methods include a method for providing an integrated advanced visualization tool for geosteering underbalanced coiled tubing drilling (UBCTD) operations. Drilling operation data is received from different sources in real time during a drilling operation. The drilling operation data includes geological formation information recorded during the drilling operation, micropalaeontological test results of the drilling operation, drilling parameters being used during the drilling operation, cumulative productivity index calculations, and reservoir pressure information of reservoirs encountered during the drilling operation. The drilling operation data is analyzed to correlate elements of the drilling operation data by time and cumulative depth. A graph is generated in real time that includes multiple plots correlated as a function of cumulative depth over time.

Systems and methods include a method for providing an integrated advanced visualization tool for geosteering underbalanced coiled tubing drilling (UBCTD) operations. Drilling operation data is received from different sources in real time during a drilling operation. The drilling operation data includes geological formation information recorded during the drilling operation, micropalaeontological test results of the drilling operation, drilling parameters being used during the drilling operation, cumulative productivity index calculations, and reservoir pressure information of reservoirs encountered during the drilling operation. The drilling operation data is analyzed to correlate elements of the drilling operation data by time and cumulative depth. A graph is generated in real time that includes multiple plots correlated as a function of cumulative depth over time.

Systems and methods are provided for identifying one or more properties of a rock formation. A system may be configured to receive sensor data obtained from one or more sensors, the sensor data generated from drilling operations performed in a wellbore, generate stress metrics and strain metrics for the sensor data based on a calibrated stress and strain map, and identify one or more properties of a rock formation based on the stress metrics and the strain metrics.

Systems and methods are provided for identifying one or more properties of a rock formation. A system may be configured to receive sensor data obtained from one or more sensors, the sensor data generated from drilling operations performed in a wellbore, generate stress metrics and strain metrics for the sensor data based on a calibrated stress and strain map, and identify one or more properties of a rock formation based on the stress metrics and the strain metrics.

In one embodiment, a method includes facilitating a real-time cross-plot display of drilling-performance data for a current well. The real-time cross-plot display includes a plurality of data plots represented on a common graph such that each data plot specifying at least two drilling parameters. Each data plot includes a plurality of data points such that each data point is expressable as Cartesian coordinates in terms of the at least two drilling parameters. The method further includes receiving new channel data for the current well from a wellsite computer system. In addition, the method includes creating, from the new channel data, new data points for the plurality of data plots as the new channel data is received. Moreover, the method includes updating the plurality of data plots with the new data points as the new data points are created.