Abstract: The present disclosure relates to a method and system for evaluating the macro resilience of offshore oil well control equipment. The method for evaluating the macro resilience of offshore oil well control equipment comprises six steps: determining the type and strength of external disaster; calculating the failure rate of components; calculating the recovery rate of the components; modeling the BN for a degradation process; modeling the BN for a maintenance process; and calculating the resilience of the offshore oil well control equipment. A system for evaluating the macro resilience of offshore oil well control equipment comprises an external disaster evaluation module, a component failure rate calculation subsystem, a reliability degradation process simulation module, a fault identification module, a component recovery rate calculation module, a reliability recovery process simulation module, a reliability change curve derivation unit and an resilience calculation unit.

Abstract: A system for navigation detection and inclination measurement of advanced hydraulic supports, including a detection device module, a signal transfer transmission module, connected to the detection device module, and used to integrate ultrasonic signals and inclination signals received from all advanced hydraulic supports and then wirelessly transmit all the signals to an analysis and processing module. The analysis and processing module, connected to the signal transfer transmission module, and used to receive the signals from the signal integration and transmission device for analysis, where if an analysis result shows an abnormal situation, an alarm will b e immediately given to a worker. If the analysis result shows a continuous abnormal situation, or a relatively large value indicating the abnormal situation is generated, a command will be immediately sent to make the advanced hydraulic supports stop operating in a current mode.

Abstract: The present disclosure belongs to the field of marine engineering, and in particular relates to a method and system for guaranteeing the safety of offshore oil well control equipment. The method comprises: identifying the state of a main structure of the offshore oil well control equipment, identifying the state of a hydraulic control unit of offshore oil well control equipment, identifying the state of an electronic control unit of offshore oil well control equipment, predicting the state of the offshore oil well control equipment and making a real-time decision based on existing information; and the system for guaranteeing the safety of the offshore oil well control equipment comprises a state identification subsystem of a main structure, a state identification subsystem of the hydraulic control unit, a state identification subsystem of the electronic control unit and a state prediction and real-time decision subsystem.

Abstract: A system for navigation detection and inclination measurement of advanced hydraulic supports, including a detection device module, a signal transfer transmission module, connected to the detection device module, and used to integrate ultrasonic signals and inclination signals received from all advanced hydraulic supports and then wirelessly transmit all the signals to an analysis and processing module. The analysis and processing module, connected to the signal transfer transmission module, and used to receive the signals from the signal integration and transmission device for analysis, where if an analysis result shows an abnormal situation, an alarm will b e immediately given to a worker. If the analysis result shows a continuous abnormal situation, or a relatively large value indicating the abnormal situation is generated, a command will be immediately sent to make the advanced hydraulic supports stop operating in a current mode.

Abstract: The present disclosure belongs to the field of offshore oil, and in particular relates to a method for assessing the safety integrity level of offshore oil well control equipment. The method for assessing the safety integrity level of the offshore oil well control equipment comprises three major steps: creating a safety instrumented function evaluation module and dividing the related devices for performing the safety instrumented functions into a sensor subsystem; a controller subsystem and an actuator subsystem, establishing a dynamic Bayesian network model for respective subsystems for calculation; and integrating, analyzing and optimizing the safety integrity data of the subsystems.

Abstract: The present disclosure belongs to the field of petroleum engineering, in particular to a fully-electrically driven downhole safety valve. The fully-electrically driven downhole safety valve comprises a downhole safety valve mechanism and a downhole safety valve control system; wherein the downhole safety valve mechanism includes an electronic cabin module, a transmission control module, a motion conversion module, a magnetic coupling and spring module. and a valve module; the downhole safety valve control system includes a downhole comprehensive unit and an uphole comprehensive unit.

Abstract: The present disclosure relates to a method and system for evaluating the macro resilience of offshore oil well control equipment. The method for evaluating the macro resilience of offshore oil well control equipment comprises six steps: determining the type and strength of external disaster; calculating the failure rate of components; calculating the recovery rate of the components; modeling the BN for a degradation process; modeling the BN for a maintenance process; and calculating the resilience of the offshore oil well control equipment. A system for evaluating the macro resilience of offshore oil well control equipment comprises an external disaster evaluation module, a component failure rate calculation subsystem, a reliability degradation process simulation module, a fault identification module, a component recovery rate calculation module, a reliability recovery process simulation module, a reliability change curve derivation unit and an resilience calculation unit.

Abstract: The present disclosure belongs to the field of petroleum engineering, in particular to a fully-electrically driven downhole safety valve. The fully-electrically driven downhole safety valve comprises a downhole safety valve mechanism and a downhole safety valve control system; wherein the downhole safety valve mechanism includes an electronic cabin module, a transmission control module, a motion conversion module, a magnetic coupling and spring module. and a valve module; the downhole safety valve control system includes a downhole comprehensive unit and an uphole comprehensive unit.

Abstract: The present disclosure belongs to the field of offshore oil, and in particular relates to a method for assessing the safety integrity level of offshore oil well control equipment. The method for assessing the safety integrity level of the offshore oil well control equipment comprises three major steps: creating a safety instrumented function evaluation module and dividing the related devices for performing the safety instrumented functions into a sensor subsystem; a controller subsystem and an actuator subsystem, establishing a dynamic Bayesian network model for respective subsystems for calculation; and integrating, analyzing and optimizing the safety integrity data of the subsystems.

Abstract: The present disclosure belongs to the field of marine engineering, and in particular relates to a method and system for guaranteeing the safety of offshore oil well control equipment. The method comprises: identifying the state of a main structure of the offshore oil well control equipment, identifying the state of a hydraulic control unit of offshore oil well control equipment, identifying the state of an electronic control unit of offshore oil well control equipment, predicting the state of the offshore oil well control equipment and making a real-time decision based on existing information; and the system for guaranteeing the safety of the offshore oil well control equipment comprises a state identification subsystem of a main structure, a state identification subsystem of the hydraulic control unit, a state identification subsystem of the electronic control unit and a state prediction and real-time decision subsystem.