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?
Data scientist
40%
#6 / 623
View rankingData scientist
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 |
|---|---|---|---|
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 55% | +7.7 |
Manage timely flow of business intelligence information to users.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 48% | +5.3 |
Provide technical support for existing reports, dashboards, or other tools.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 55% | +5 |
Synthesize current business intelligence or trend data to support recommendations for action.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Identify or monitor current and potential customers, using business intelligence tools.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 29% | 28% | +8.1 |
| Total | 100% | 40% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- analyse data
- models
- dashboards
- python
- information structure
- data warehouse
- database
- web programming
- ICT security legislation
- business process modelling
Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521