Page 117 - Pipeline Pigging Technology
P. 117

Pipeline  Pigging  Technology


      of the pipeline condition. The engineers would be able to better understand
      any  changes  in  this  condition,  thus  enabling them  to  take  the  necessary
      action.  Increased  safety would  therefore  be  a  major  benefit  of  using  the
      system.
         (b) Shortening of  response time in finding  information'.  Because all the
      data would be concentrated  in one place, and furthermore in a database, it
      would  take  the  engineer  less  time  to  find  it  in  comparison  to  searching
      through  the  reports.  This  is  especially  true  for  occasions  where  several
      campaigns are involved, for example, free-span history. More efficient  use of
      the engineer's  time would therefore be made when  analysing the data.
        (c) More  cost-effective  scope  ofROV  inspection:  The  preparation  of  the
      ROV  inspection  scope  is  a  long  and  tedious  process  when  carried  out
      manually. Priority is given to areas which have not been surveyed recently or
      which have a high risk of problems. The difficulty comes from the information
      being scattered  in many reports and from  constant  changes in the  pipeline
      condition.  A  program  based  on  an  algorithm  would  carry  out  this  task
      systematically  and  efficiently.  A recommended  scope  would  then  be  pre-
      sented  to  the  engineer  who  had  the  ultimate  responsibility  for  the final
      decision. Consequently, a reduction  of engineer  time would be achieved as
      well as a more refined scope of work.
        (d) Reduction  of  the  number  of  reports:  As most  of the  data would  be
      transmitted  via  magnetic  tapes,  the  number  of  reports  provided  by  the
      contractors could be reduced, particularly those readily produced on demand
      from  the system.




        THE    SYSTEM


        Data overview


        The  database  is composed  of  three  main areas  as described  below.  In
      addition a master record  is stored  for each  pipeline  to hold  such details as
      pipeline  name, total length, etc.  (see  Fig.l  for database  diagram).
        Much of this information is classified and accessed using the kilometre post
      (or Point kilometrique, PK) value giving the distance of any point along  the
      line from  the defined base  co- ordinates  of the pipeline.






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