A system for visualizing an object to a remote user includes a digitization apparatus and a visualization apparatus. The digitization apparatus includes a sensor, a first processor, and a first communication interface. The sensor is configured to sense the object within a three-dimensional space region to obtain sensor data. The first processor is configured to determine volumetric data based upon the sensor data. The first communication interface is configured to transmit the volumetric data. The visualization apparatus includes a second communication interface, a second processor, and a display. The second communication interface is configured to receive the volumetric data. The second processor is configured to determine a three-dimensional representation of the object based upon the volumetric data. The display is configured to visualize the three-dimensional representation of the object to the remote user.

A system for visualizing an object to a remote user includes a digitization apparatus and a visualization apparatus. The digitization apparatus includes a sensor, a first processor, and a first communication interface. The sensor is configured to sense the object within a three-dimensional space region to obtain sensor data. The first processor is configured to determine volumetric data based upon the sensor data. The first communication interface is configured to transmit the volumetric data. The visualization apparatus includes a second communication interface, a second processor, and a display. The second communication interface is configured to receive the volumetric data. The second processor is configured to determine a three-dimensional representation of the object based upon the volumetric data. The display is configured to visualize the three-dimensional representation of the object to the remote user.

A method comprising scanning at least one portion a hull of a vessel positioned below a waterline while the vessel is floating in water. The method further comprises generating multi-dimensional scans of the at least one portion of the hull based on data acquired during the scanning, generating a 3-dimensional (3D) model of the at least one portion of the hull, analyzing the 3D model to identify one or more features of the hull of the vessel below the waterline, generating docking information for drydocking the vessel based on the one or more features of the hull, and identifying, based on the generated docking information, a docking plan for supporting the vessel when the vessel is supported out of the water. The method further comprises outputting instructions to dry dock the vessel.

A method comprising scanning at least one portion a hull of a vessel positioned below a waterline while the vessel is floating in water. The method further comprises generating multi-dimensional scans of the at least one portion of the hull based on data acquired during the scanning, generating a 3-dimensional (3D) model of the at least one portion of the hull, analyzing the 3D model to identify one or more features of the hull of the vessel below the waterline, generating docking information for drydocking the vessel based on the one or more features of the hull, and identifying, based on the generated docking information, a docking plan for supporting the vessel when the vessel is supported out of the water. The method further comprises outputting instructions to dry dock the vessel.

A method for the use in offshore crew transfer when transferring a person between a crew transfer vessel and a structure or vice versa where a prediction system for predicting vessel bow motion in response to sea waves detected by said wave detection device is used. An indicator is adapted to indicate a prediction of vessel bow motion below a first bow motion threshold value within a first predetermined time period based on said prediction system. The transfer of the person only takes place when said vessel bow motion is indicated to be below the first vessel bow motion threshold value within the first predetermined time period.

A method for the use in offshore crew transfer when transferring a person between a crew transfer vessel and a structure or vice versa where a prediction system for predicting vessel bow motion in response to sea waves detected by said wave detection device is used. An indicator is adapted to indicate a prediction of vessel bow motion below a first bow motion threshold value within a first predetermined time period based on said prediction system. The transfer of the person only takes place when said vessel bow motion is indicated to be below the first vessel bow motion threshold value within the first predetermined time period.

A technique for calculating the motion and stress at any location along a riser or mooring line that is connected to an oil platform using data from multiple motion sensors that are installed above the water level on the platform is disclosed. A relationship between motion at the locations of the motion sensors and motion at the point at which the riser or mooring line is attached to the platform is determined from a model of the platform. From this relationship, the motion at the location at which the riser or mooring line is attached to the platform is computed from motion that is measured by the motion sensors. The motion and stress at any location along the riser or the mooring line is calculated based on the acceleration at the location at which the riser or mooring line is attached to the platform.

A positionable emissions control watercraft that may be placed near a serviced watercraft in a location that is away from the risk of falling cargo, while also eliminating a need for a spacer or a spacer barge, and allowing other service watercraft to access the serviced watercraft.

A method of estimating an operational parameter of a subject vessel, including receiving at least one vessel data item of a set of vessel data from a subject vessel; associating the vessel data with a class; generating an estimated equivalent for at least one vessel data item using a machine learning model trained using a database of data from vessels of the class of the subject vessel; and providing the estimated equivalent to a user. The vessel data item may be acquired by a dedicated data acquisition unit on a marine vessel. The data acquisition unit may be part of a system for analysing marine data. In another aspect, a method of detecting an abnormality is provided, including receiving hydrophone data from a subject vessel; detecting an abnormality in the hydrophone data; associating the abnormality with an operational system of the subject vessel; and generating a maintenance alert identifying the operational system for further attention.

A method of estimating an operational parameter of a subject vessel, including receiving at least one vessel data item of a set of vessel data from a subject vessel; associating the vessel data with a class; generating an estimated equivalent for at least one vessel data item using a machine learning model trained using a database of data from vessels of the class of the subject vessel; and providing the estimated equivalent to a user. The vessel data item may be acquired by a dedicated data acquisition unit on a marine vessel. The data acquisition unit may be part of a system for analysing marine data. In another aspect, a method of detecting an abnormality is provided, including receiving hydrophone data from a subject vessel; detecting an abnormality in the hydrophone data; associating the abnormality with an operational system of the subject vessel; and generating a maintenance alert identifying the operational system for further attention.