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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
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

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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