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 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512