Abstract
The diving chamber is an important system needed for diving operations in the oil and gas industry. Divers use it for various purposes. Thus, the safety level of the diving chamber needs to be very high at all times and the system needs to be in a good state. To achieve this, various control measures such as control measures 1 and 2 can be adopted in preventing failures/hazards or mitigate their consequences. In this study, fuzzy cost algorithm is used to estimate the cost of using control measures 1 and 2 in ensuring optimal operational level for the diving chamber, while the preference degree approach is adopted in prioritizing the aforementioned cost of control measures 1 and 2. The result of the analysis indicated that control measure 2 is the most cost effective approach.
Highlights
A diving chamber is utilized in diving operations
The diving chamber serves as a simpler form of submersible vessel that can be used to transport divers underwater, providing a temporary base for the diver and serves as a retrieval system too [1]
The diving chamber is utilised in carrying high pressure storage cylinders, communications, and emergency equipment for divers
Summary
A diving chamber is utilized in diving operations. It is made up of mechanical, electrical/electronics, structural systems, and subsystems. The diving chamber is utilised in carrying high pressure storage cylinders, communications, and emergency equipment for divers. It is utilised as an underwater base for surface supplied diving operations, giving room for the divers’ umbilical (air supply, etc.) to be attached to it. A hyperbaric chamber is a sealable pressure vessel with hatches that can accommodate divers, compressed breathing gas, providing oxygen to the divers [2]. It can be used in underwater, at the water surface and, on land to produce underwater pressures. The paper is structured as Section 2: Description of Safety of Diving Chamber; Section 3: Fuzzy Cost Algorithm; Section 4: Prioritization of Fuzzy Cost Estimates of Control Measures Conclusion; Section 5: Demonstration of Workability of Fuzzy Cost Algorithm in Divng Chamber Control Measure Cost Modelling and Section 6: Conclusions
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