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

Category manager

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
Assortment, prices and the shelf.
Estimate

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

18%48%+8.6
Supplier, the negotiation and the one that will not list.
Estimate

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

16%40%+6.4
Promo, the calendar and the one that clashes.
Estimate

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

16%22%+3.5
Data, margin and not killing the category.
Estimate

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

16%28%+4.5
Own-label, the clash and not hiding it.
Estimate

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

18%14%+2.5
That the category wins.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • assortment
  • supplier negotiation
  • category margin
  • promos
  • own-label
  • the shelf
  • calendar
  • listings

Sources for this job· O*NET 11-2022.00· ESCO/ISCO 1221

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