A system is disclosed including but not limited to a a jack up processor in data communication with each for dynamically balancing loads in real time on a plurality of legs supporting a jack up rig platform having a plurality of gear box motors on the plurality of legs. A processor reads data from sensors on gear box motors on the legs and selects a stored torque profile from a computer readable medium based on the load data from the sensors; and sends the torque profile to the plurality of gearboxes. A computer readable medium and neural network are disclosed for dynamically balancing loads on the plurality of legs in real time.

A system is disclosed including but not limited to a a jack up processor in data communication with each for dynamically balancing loads in real time on a plurality of legs supporting a jack up rig platform having a plurality of gear box motors on the plurality of legs. A processor reads data from sensors on gear box motors on the legs and selects a stored torque profile from a computer readable medium based on the load data from the sensors; and sends the torque profile to the plurality of gearboxes. A computer readable medium and neural network are disclosed for dynamically balancing loads on the plurality of legs in real time.

An offshore platform embarkation facility and an offshore platform, including a lift tower, wherein the lift tower is provided with a climbing device and the lift tower is provided with a transmission structure; a jacking frame, wherein a first moon pool allowing the lift tower to pass through is provided in the jacking frame; a lifting unit, wherein the lifting unit is installed on the jacking frame and the lifting unit is configured to cooperate with the transmission structure to raise and lower the lift tower; a lift platform, wherein a second moon pool allowing the lift tower to pass through is provided in the lift platform, and the lift platform is connected with the lift tower via the climbing device, and the lift platform is located below the jacking frame. When it is needed to load or unload personnel or goods, it is not required to lower the entire offshore platform to the height of the sea surface to enable a ship to be anchored, anchorage of ships and loading or unloading of personnel and goods can be quickly completed simply by means of the offshore platform embarkation facility, which saves energy consumption and time, improves the work efficiency and increases the service life of the offshore platform.

An offshore platform embarkation facility and an offshore platform, including a lift tower, wherein the lift tower is provided with a climbing device and the lift tower is provided with a transmission structure; a jacking frame, wherein a first moon pool allowing the lift tower to pass through is provided in the jacking frame; a lifting unit, wherein the lifting unit is installed on the jacking frame and the lifting unit is configured to cooperate with the transmission structure to raise and lower the lift tower; a lift platform, wherein a second moon pool allowing the lift tower to pass through is provided in the lift platform, and the lift platform is connected with the lift tower via the climbing device, and the lift platform is located below the jacking frame. When it is needed to load or unload personnel or goods, it is not required to lower the entire offshore platform to the height of the sea surface to enable a ship to be anchored, anchorage of ships and loading or unloading of personnel and goods can be quickly completed simply by means of the offshore platform embarkation facility, which saves energy consumption and time, improves the work efficiency and increases the service life of the offshore platform.

A system is disclosed including but not limited to a a jack up processor in data communication with each for dynamically balancing loads in real time on a plurality of legs supporting a jack up rig platform having a plurality of gear box motors on the plurality of legs. A processor reads data from sensors on gear box motors on the legs and selects a stored torque profile from a computer readable medium based on the load data from the sensors; and sends the torque profile to the plurality of gearboxes. A computer readable medium and neural network are disclosed for dynamically balancing loads on the plurality of legs in real time.

A support structure (10) suitable for use as a support structure to an offshore platform (12), the support structure (10) comprising a main support strut (30) having a lower end and anchorable, in use, to the seabed (16) and an upper portion arranged, in use, to extend above sea level to a height substantially equal to, or greater than, that of the platform (12), the support strut (30) comprising a guide rail (62) extending upwardly from a level above the sea level (18) to the top of the support strut (30) for cooperating with a raising framework (90) slideably mountable to the guide rail (62), and further comprising drive means (98) cooperating between the raising framework (90) and the guide rail (62) for elevating the raising framework (90) relative to the support rail (62), the support structure (10) being characterized by: the support strut (30) and raising framework (90) each comprising tracks (70, 100) arranged to substantially align end-to-end when the raising framework (90) is elevated to the top of the support strut (30), the tracks (70, 100), when so aligned, forming a substantially continuous track for laterally transferring a payload (42) from the raising framework (90) to the top of the strut (30).

A system is disclosed including but not limited to a jack up processor in data communication with each for dynamically balancing loads in real time on a plurality of legs supporting a jack up rig platform having a plurality of gear box motors on the plurality of legs. A processor reads data from sensors on gear box motors on the legs and selects a stored torque profile from a computer readable medium based on the load data from the sensors; and sends the torque profile to the plurality of gearboxes. A computer readable medium and neural network are disclosed for dynamically balancing loads on the plurality of legs in real time.