IS WORK OVER?

Automation index

How much of a Petroleum engineer’s job can AI already do?

A reservoir model comes earlier. Drilling without killing the well do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Petroleum engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Reservoir, rate and the well programme.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
Rig, mud and lost circulation.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Completion, tests and the ops report.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Production, water cut and the workover.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
HSE, blowout and the drill that is not a game.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Not killing the well, and signing the programme.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%25%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • model reservoirs
  • well programmes
  • drilling mud
  • completion
  • workover
  • water cut
  • well HSE
  • production tests

Sources for this job· O*NET 17-2171.00· ESCO/ISCO 2146

Warehouse supervisor

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Docks, waves and the shift plan.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%24%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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