Will AI replace Derrick Operators, Oil and Gas?
Estimated risk score: 10 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (0 to 29).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-5011.00 · Construction and Extraction
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 0 of its 15 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 15 of its 15 rated tasks; the first 6 are shown. In O*NET’s words.
- Clamp holding fixtures on ends of hoisting cables.
- Control the viscosity and weight of the drilling fluid.
- Guide lengths of pipe into and out of elevators.
- Inspect derricks for flaws, and clean and oil derricks to maintain proper working conditions.
- Listen to mud pumps and check regularly for vibration and other problems to ensure that rig pumps and drilling mud systems are working properly.
- Position and align derrick elements, using harnesses and platform climbing devices.
What the job is
Rig derrick equipment and operate pumps to circulate mud or fluid through drill hole.
Also called: Derrick Man, Derrick Worker, Drilling Motorman, Gas Derrick Operator, Oil Derrick Operator, Rotary Derrick Operator, Fracturing Derrick Operator.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate