Reliability Analysis of Redundant Dynamic Positioning Control System With Human Factor Involved

2016 ◽  
Author(s):  
Fang Wang ◽  
Yong Bai ◽  
Feng Xu
Keyword(s):  
Control System ◽  
Markov Process ◽  
Reliability Analysis ◽  
Oil And Gas ◽  
Dynamic Positioning ◽  
Positioning Control ◽  
Safety And Reliability ◽  
Long Time ◽  
Component Failure Rates ◽  
Technical Failures

Deepwater oil and gas explorations bring more safety and reliability problems for the dynamically positioned vessels. With the demands for the safety of vessel crew and onboard device increasing, the single control architecture of dynamic positioning (DP) system can not guarantee the long-time faultless operation for deeper waters, which calls for much more reliable control architectures, such as the Class 2 and Class 3 system, which can tolerate a single failure of system according to International Maritime Organization’s (IMO) DP classification. The reliability analysis of the main control station of DP Class 3 system is proposed from a general technical prospective. The fault transitions of the triple-redundant DP control system are modeled by Markov process. The effects of variation in component failure rates on the system reliability are investigated. Considering the DP operation involved a human-machine system, the DP operator factors are taken into account, and the human operation error failures together with technical failures are incorporated to the Markov process to predict the reliability of the DP control system.

scholarly journals Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform

2021 ◽  
Vol 9 (4) ◽  
pp. 399
Author(s):  
Mohamad Alremeihi ◽  
Rosemary Norman ◽  
Kayvan Pazouki ◽  
Arun Dev ◽  
Musa Bashir
Keyword(s):  
Oil And Gas ◽  
Weather Conditions ◽  
Dynamic Positioning ◽  
System Failures ◽  
Oil Drilling ◽  
System A ◽  
Advanced Control ◽  
Safety And Reliability ◽  
Drilling Operations ◽  
Shallow Seas

Oil drilling and extraction platforms are currently being used in many offshore areas around the world. Whilst those operating in shallow seas are secured to the seabed, for deeper water operations, Dynamic Positioning (DP) is essential for the platforms to maintain their position within a safe zone. Operating DP requires intelligent and reliable control systems. Nearly all DP accidents have been caused by a combination of technical and human failures; however, according to the International Marine Contractors Association (IMCA) DP Incidents Analysis, DP control and thruster system failures have been the leading causes of incidents over the last ten years. This paper will investigate potential operational improvements for DP system accuracy by adding a Predictive Neural Network (PNN) control algorithm in the thruster allocation along with a nonlinear Proportional Integral derivative (PID) motion control system. A DP system’s performance on a drilling platform in oil and gas deep-water fields and subject to real weather conditions is simulated with these advanced control methods. The techniques are developed for enhancing the safety and reliability of DP operations to improve the positioning accuracy, which may allow faster response to a critical situation during DP drilling operations. The semisubmersible drilling platform’s simulation results using the PNN strategy show improved control of the platform’s positioning.

Design and reliability analysis of DP-3 dynamic positioning control architecture

2011 ◽  
Vol 25 (4) ◽  
pp. 709-720 ◽  
Author(s):  
Fang Wang ◽  
Lei Wan ◽  
Da-peng Jiang ◽  
Yu-ru Xu
Keyword(s):  
Reliability Analysis ◽  
Control Architecture ◽  
Dynamic Positioning ◽  
Positioning Control

Analysis of Reliability for Hoist Main Control System Based on Markov Process

2011 ◽  
Vol 383-390 ◽  
pp. 565-568
Author(s):  
Feng Wang ◽  
Feng You He ◽  
De Chen Li
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Markov Process ◽  
Reliability Study ◽  
Safety And Reliability ◽  
Way Of Thinking ◽  
Mine Hoist

A reliability mathematical model of the hoist control system based on Markov process was developed and a formula of availability and reliability of the system was derived. At the same time a redundancy-based technology was introduced to improve the reliability of mine hoist control system according to the special requirements of safety and reliability. A new way of thinking is provided to further study the reliability of similar control system through the reliability study of hoist control system.

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