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
IS WORK OVER?
Petroleum engineer
25%
AI can already do 25% of this job.
#232 / 623
View rankingPetroleum 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.
| Task | Share | AI | Points |
|---|---|---|---|
Reservoir, rate and the well programme.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Rig, mud and lost circulation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Completion, tests and the ops report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Production, water cut and the workover.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
HSE, blowout and the drill that is not a game.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not killing the well, and signing the programme.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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.
| Task | Share | AI | Points |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142