Reliability Case Notes No. 6. Risk assessment of the Ellsworth probe: development, design and deployment
Reliability Case Notes No. 6. Risk assessment of the Ellsworth probe: development, design and deployment
 
  The Natural Environment Research Council is partly funding the development and deployment of a scientific probe in the Antarctic subglacial Lake Ellsworth. The deployment will take place in 2013. 
This report aims to quantify the technical risks of the probe development, design and deployment. A high level representation of the entire probe deployment process is captured in a Markov chain – a form of graphical probabilistic model. The transition from one state, or phase of the deployment, to the next depends on several factors, including: reliability of components and reliability of processes. We use fault trees to quantify the probability of failure of the complex processes that must take place to facilitate the transition from one state to another. The Shelf expert judgment elicitation package was followed to elicit expert judgments for the probability of failure for each failure mode.
The top two technical risks are:
• Failure to clean Jacket of the hot water drill hose: 95% quantile at 0.96.
• Probe electronic failure: 95% quantile at 0.11. Here, the top failure mode is optical connector failure.
The Markov chain was used to estimate the availability of the probe from different phases of the
deployment.
• From on-site probe cleaning: 95% confidence that the probability of success is higher than 0.7.
• From on-site testing: 95% confidence that the probability of success is higher than 0.73.
• From sheave deployment: 95% confidence that the probability of success if higher than 0.83.
• From probe positioning: 95% confidence that the probability of success is higher than 0.90.
Finally, the probability of a successful probe deployment following the probe pre-deployment is
greater than 0.87, with 95% confidence.
  Sub-glacial lake, scientific probe, risk assessment, expert judgment elicitation, judgment aggregation, fault tree analysis, markov chain
ISSUING ORGANISATION National Oceanography
  
  
    National Oceanography Centre
   
  
    
      Brito, M.P.
      
        82e798e7-e032-4841-992e-81c6f13a9e6c
      
     
  
    
      Griffiths, G.
      
        2887c3c7-95f2-4834-b3f6-0284344d3580
      
     
  
    
      Mowlem, M.
      
        6f633ca2-298f-48ee-a025-ce52dd62124f
      
     
  
    
      Waugh, E.
      
        bf1debbf-0db9-43d3-84a5-044a22c52748
      
     
  
    
      Saw, K.
      
        aba28de9-80bc-426f-8b96-22d637550649
      
     
  
    
      Wyatt, J.B.
      
        9dd4a729-51a1-407b-9b35-1bd63af761ea
      
     
  
    
      Tsaloglou, M-N.
      
        99ab30ba-15da-4d25-86ba-608d127f8369
      
     
  
    
      Fowler, L.
      
        1c57ea6b-0789-40d3-a2f2-7cc2980b77ba
      
     
  
    
      Campbell, J.
      
        ccdf3dec-f651-4d59-96d7-41859f78abe5
      
     
  
    
      Rundle, N.
      
        5593df32-661d-41c3-9f8d-60109acdc597
      
     
  
  
   
  
  
    
      2011
    
    
  
  
    
      Brito, M.P.
      
        82e798e7-e032-4841-992e-81c6f13a9e6c
      
     
  
    
      Griffiths, G.
      
        2887c3c7-95f2-4834-b3f6-0284344d3580
      
     
  
    
      Mowlem, M.
      
        6f633ca2-298f-48ee-a025-ce52dd62124f
      
     
  
    
      Waugh, E.
      
        bf1debbf-0db9-43d3-84a5-044a22c52748
      
     
  
    
      Saw, K.
      
        aba28de9-80bc-426f-8b96-22d637550649
      
     
  
    
      Wyatt, J.B.
      
        9dd4a729-51a1-407b-9b35-1bd63af761ea
      
     
  
    
      Tsaloglou, M-N.
      
        99ab30ba-15da-4d25-86ba-608d127f8369
      
     
  
    
      Fowler, L.
      
        1c57ea6b-0789-40d3-a2f2-7cc2980b77ba
      
     
  
    
      Campbell, J.
      
        ccdf3dec-f651-4d59-96d7-41859f78abe5
      
     
  
    
      Rundle, N.
      
        5593df32-661d-41c3-9f8d-60109acdc597
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Brito, M.P., Griffiths, G., Mowlem, M., Waugh, E., Saw, K., Wyatt, J.B., Tsaloglou, M-N., Fowler, L., Campbell, J. and Rundle, N.
  
  
  
  
   
    (2011)
  
  
    
    Reliability Case Notes No. 6. Risk assessment of the Ellsworth probe: development, design and deployment
  
  
  
    (National Oceanography Centre Research and Consultancy Report, 3)
  
  
  
  
    
      
        
   
  
    Southampton, UK.
   
        
      
    
  
  National Oceanography Centre 
  40pp.
  
  
  
  
  
   
  
    
      Record type:
      Monograph
      
      (Project Report)
      
    
   
    
    
      
        
          Abstract
          The Natural Environment Research Council is partly funding the development and deployment of a scientific probe in the Antarctic subglacial Lake Ellsworth. The deployment will take place in 2013. 
This report aims to quantify the technical risks of the probe development, design and deployment. A high level representation of the entire probe deployment process is captured in a Markov chain – a form of graphical probabilistic model. The transition from one state, or phase of the deployment, to the next depends on several factors, including: reliability of components and reliability of processes. We use fault trees to quantify the probability of failure of the complex processes that must take place to facilitate the transition from one state to another. The Shelf expert judgment elicitation package was followed to elicit expert judgments for the probability of failure for each failure mode.
The top two technical risks are:
• Failure to clean Jacket of the hot water drill hose: 95% quantile at 0.96.
• Probe electronic failure: 95% quantile at 0.11. Here, the top failure mode is optical connector failure.
The Markov chain was used to estimate the availability of the probe from different phases of the
deployment.
• From on-site probe cleaning: 95% confidence that the probability of success is higher than 0.7.
• From on-site testing: 95% confidence that the probability of success is higher than 0.73.
• From sheave deployment: 95% confidence that the probability of success if higher than 0.83.
• From probe positioning: 95% confidence that the probability of success is higher than 0.90.
Finally, the probability of a successful probe deployment following the probe pre-deployment is
greater than 0.87, with 95% confidence.
         
      
      
        
          
            
  
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      Published date: 2011
 
    
  
  
    
  
    
     
        Additional Information:
        Deposited at authors request
      
    
  
    
  
    
  
    
  
    
     
        Keywords:
        Sub-glacial lake, scientific probe, risk assessment, expert judgment elicitation, judgment aggregation, fault tree analysis, markov chain
ISSUING ORGANISATION National Oceanography
      
    
  
    
     
        Organisations:
        Ocean Technology and Engineering
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 187347
        URI: http://eprints.soton.ac.uk/id/eprint/187347
        
        
        
        
          PURE UUID: 50c24ed8-386f-4ff5-bc56-b6e6dfcce161
        
  
    
        
          
            
              
            
          
        
    
        
          
        
    
        
          
            
              
            
          
        
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
  
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  Date deposited: 16 May 2011 13:38
  Last modified: 22 Aug 2025 01:59
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      Contributors
      
        
      
          
          Author:
          
            
            
              G. Griffiths
            
          
        
      
          
          Author:
          
            
              
              
                M. Mowlem
              
              
                 
              
            
            
          
         
      
          
          Author:
          
            
              
              
                E. Waugh
              
              
            
            
          
        
      
          
          Author:
          
            
            
              K. Saw
            
          
        
      
          
          Author:
          
            
            
              J.B. Wyatt
            
          
        
      
          
          Author:
          
            
              
              
                M-N. Tsaloglou
              
              
            
            
          
        
      
          
          Author:
          
            
            
              L. Fowler
            
          
        
      
          
          Author:
          
            
            
              J. Campbell
            
          
        
      
          
          Author:
          
            
            
              N. Rundle
            
          
        
      
      
      
    
  
   
  
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