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?

25%

AI can already do 25% of this job.

#232 / 623

Petroleum engineer

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. 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
Total	100%		25%

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

IS WORK OVER?

17%

#578 / 623

Air traffic controller

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
Plan sequences and read traffic forecasts. Estimate No public source provides a precise figure. This is our estimate.	18%	32%	+5.8
Strips, tickets and inter-unit coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Tactical control of aircraft on frequency. Estimate No public source provides a precise figure. This is our estimate.	22%	6%	+1.3
Resolve conflicts, radio failures and weather. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Train and supervise a controller under instruction. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Reports, incidents and shift fatigue. Estimate No public source provides a precise figure. This is our estimate.	14%	15%	+2.1
Total	100%		17%

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