Reduce Intervention Cost

  • Limit the number & extent of well interventions
  • Design more robust wells & better equipment
  • Optimise field design and intervention intervals

“In a field where we do 3-4 workovers a year. I think we could have avoided 1 each year, just by ensuring knowledge transfer between shifts”

Operations manager, Oil & gas operator

Key facts


Annual spend on interventions world-wide:

$26 Billion

Annual intervention cost:

Offshore plattform (25 wells, 50k bbl/day):

$26 Million

Onshore operator (300 wells, 5k bbl/day):

$2 Million

Annual increase in operational cost:

10%


Interventions are costly means of re-establishing safe and efficient production of the wellbores. Especially in deep-water areas, the vessel or rig cost is high and often with a limited operational window putting constrains on the decision of intervening the wells. In many cases the result is uncertain and there are no guarantees that the investment will pay off.


Reducing Intervention Cost with WellMaster

With field operational cost (OPEX) rapidly increasing, the operator’s margins are squeezed for both new and mature fields. Even at record high oil prices, the profitability of new developments or life extensions are questioned.

WellMaster takes the guessing game out of the cost forecasting, and provides data and analysis based on what actually happens inside the wellbore.

Utilize WellMaster to…

  • Evaluate completion designs based on estimated intervention cost over the expected life time
  • Benchmark vendors to defined who is more reliable, and which equipment that fit the operational philosophy
  • Optimize replacements schedule and component selection to align with planned maintenance activities
  • Predict the intervention cost of producing another X amount of years on mature fields

The Results

Implementing WellMaster in the operational work-flow can lead to huge savings through avoiding unnecessary intervention and work-overs.

  • Don’t spend more than necessary
    Align cost and maintenance with expected life time and operational philosophy
  • Conduct light intervention now, instead of more costly interventions later
    Minimize ‘urgency repairs’ by planning preventative maintenance
  • No unnecessary replacements
    Challenge the vendors on predicted equipment reliability
  • Save on expensive rig-days
    Optimize maintenance schedule for the whole field

“There needs to be some artificial intelligence in there, because you cannot expect the young people out there to see what the older guys have seen for ages”

George King

Distinguished Engineering Advisor, Apache Corporation