scholarly journals The Fault Tree Analysis of Causes of the Welded Pipes Failures in Exploitation

Author(s):  
Ruzica Nikolic ◽  
Dusan Arsic ◽  
Aleksandra Arsic ◽  
Zivce Sarkocevic ◽  
Dragan Cvetkovic ◽  
...  

Premature failure or damage of parts and components of the oil and gas well piping, as well as pipelines for transport of oil and gas, are generally caused by the simultaneous influence of a large number of technological, metallurgical, structural and exploitation factors. Therefore, the convenient structural solutions, which provide the mechanical safety of parts and integrity of structures, can be realized only through total comprehension of their behavior in various operation regimes. Importance of technical diagnostics for monitoring and state analysis of welded pipes/pipelines in oil industry is considered in this paper. An analysis of causes of the welded pipes failures in exploitation has been performed through use of the fault tree analysis. Based on the suggested structure of a database, regarding the causes of failure, possibilities are presented to set measures for prevention of damage and failure of welded pipes/pipelines and for extension of their service life. A suggestion for improvement of the organizational scheme for monitoring the state and maintenance of welded pipes/pipelines during the exploitation has been made, as well.

Author(s):  
MARY ANN LUNDTEIGEN ◽  
MARVIN RAUSAND

This article presents a practical approach to reliability assessment of a complex safety instrumented system that is susceptible to common cause failures. The approach is based on fault tree analysis where the common cause failures are included by post-processing the minimal cut sets. The approach is illustrated by a case study of a safety instrumented function of a workover control system that is used during maintenance interventions into subsea oil and gas wells. The case study shows that the approach is well suited for identifying potential failures in complex systems and for including design engineers in the verification of the reliability analyses. Unlike many software tools for fault tree analysis, the approach gives conservative estimates for reliability. The suggested approach represents a useful extension to current reliability analysis methods.


Author(s):  
Yingying Wang ◽  
Fangqiu Li ◽  
Menglan Duan ◽  
Houfa Liu ◽  
Jiandong Gu

The cluster manifold becomes an essential part in a subsea production system and it has been widely used in the development of ultra-deepwater oil and gas fields. One hand, it can gather the production fluid from subsea wells. On the other hand, it can distribute water, gas and chemical agents from the floating production system to each subsea well. Hence, the failure of subsea cluster manifolds may not only lead to the stagnation of production wells and economic losses but also cause environmental pollution and human health in severe cases. Therefore, the reliability of subsea cluster manifolds is quite of importance and it should be studied for the safety service of the subsea production system. Based on the fault tree analysis (FTA), this paper will discuss the failure cause of six well slots subsea cluster manifolds in LiWan 3-1 gas field in China South Sea. Considering the pipeline structure, control system and flow assurance, the fault trees of subsea cluster manifolds are built. Meanwhile, the importance degrees of each elementary event are ranked orderly and the minimum cut sets are obtained through analyzing the structure important of the FTA. The failure major reasons are obtained and the preventive measures are proposed, which could have some guiding significance for the operations of subsea cluster manifolds system in China South Sea.


2020 ◽  
Vol 8 (07) ◽  
pp. 397-404
Author(s):  
Li Zhong ◽  
Yan Chunti ◽  
Meng Wenbo ◽  
Sun Qiaolei ◽  
Guo Yongbin ◽  
...  

Deepwater gas well testing in the South China Sea is characterized by high difficulty, high investment and high risk. In order to reduce effectively the risk of the gas well testing operation in the South China Sea, the potential risk factors in the South China Sea deepwater testing operation were analyzed and 42 categories of risk factors were identified. The fault tree analysis method was used to establish the fault tree model for a deepwater testing operation in a South China Sea gas well, and analyze the inter restricted relationship between risks. Combining with the hierarchical analysis method to calculate the weight values of the risk evaluation indicators and use the product of it with probability importance as the corrected value for the probability of occurrence of the basic event in the fault tree model, the fault tree analysis was performed to determine the probability of occurrence of the top-level event. The results of the study help reduce the risk of accidents in deepwater gas well testing operations and can inform the management of deepwater gas well testing sites.


Author(s):  
Kamal Hamid ◽  
Nadim Chahine

Wireless communications became one of the most widespread means for transferring information. Speed and reliability in transferring the piece of information are considered one of the most important requirements in communication systems in general. Moreover, Quality and reliability in any system are considered the most important criterion of the efficiency of this system in doing the task it is designed to do and its ability for satisfactory performance for a certain period of time, Therefore, we need fault tree analysis in these systems in order to determine how to detect an error or defect when happening in communication system and what are the possibilities that make this error happens. This research deals with studying TETRA system components, studying the physical layer in theory and practice, as well as studying fault tree analysis in this system, and later benefit from this study in proposing improvements to the structure of the system, which led to improve gain in Link Budget. A simulation and test have been done using MATLAB, where simulation results have shown that the built fault tree is able to detect the system’s work by 82.4%.


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