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JOB REPORT / 47-5013 · 19 TASKS

Service Unit Operators, Oil and Gas.

Can AI do the work of Service Unit Operators, Oil and Gas?

Mostly it works alongside you. Here is what shifts, task by task.

YOUR EXPERIENCE MATTERS

How does this fit your work?

How many tasks do you use AI to assist with at work?

Drag the dot. There’s no wrong answer; it starts at our estimate.

Starting pointOur estimate

The mark shows what’s typical for this job.

The parts of your job AI can already do most of:

  • Prepare reports of services rendered, tools used, or time…
  • Confer with others to gather information regarding pipe…
  • Monitor sound wave-generating or detecting mechanisms to determine well…

Your free lesson plan builds the skills that keep you ahead of AI.

A free set of short lessons, about 20 minutes each, at your own pace. No payment, no experience needed.

WHAT WE LOOKED AT

Your job, task by task.

8 of 19 tasks reviewed

This job has 19 core tasks. We went through 8 of them, one at a time.

Task by task, from the work Service Unit Operators, Oil and Gas actually do. How we describe AI use in each task is our own read of it, not a measurement of whether AI can replace the job.

  1. TASK 01

    Prepare reports of services rendered, tools used, or time required, for billing purposes.

    AI DOES

    Fills in report templates, calculates totals, and flags missing info from job logs

    YOU DO

    Confirm actual tools used and time spent based on what really happened in the field

  2. TASK 02

    Confer with others to gather information regarding pipe or tool sizes or borehole conditions in wells.

    AI DOES

    Pulls up pipe/tool specs, past well records, and summarizes borehole condition data quickly

    YOU DO

    Build trust with field crews and read the real situation on the ground

  3. TASK 03

    Monitor sound wave-generating or detecting mechanisms to determine well fluid levels.

    AI DOES

    Analyzes acoustic signal data and highlights unusual readings

    YOU DO

    Stay on-site to operate equipment and judge real-world well conditions

  4. TASK 04

    Select fishing methods or tools for removing obstacles such as liners, broken casing, screens, or drill pipe.

    AI DOES

    Pulls up tool catalogs, past well records, and suggests common fishing methods based on obstacle type

    YOU DO

    Apply your hands-on feel for well conditions and make the final call on which tool fits this specific hole

  5. TASK 05

    Examine unserviceable wells to determine actions to be taken to improve well conditions.

    AI DOES

    Analyzes historical well data, pressure logs, and production records to suggest possible causes and repair options

    YOU DO

    Show up on-site, physically inspect conditions, and make safety calls no screen can make

  6. TASK 06

    Apply green technologies or techniques, such as the use of coiled tubing, slim-hole drilling, horizontal drilling, hydraulic fracturing, or gas lift systems.

    AI DOES

    Helps plan drilling parameters, optimize fracturing schedules, and flag equipment settings

    YOU DO

    Show up on-site and physically operate the tools and machinery safely

  7. TASK 07

    Operate pumps that circulate water, oil, or other fluids through wells to remove sand or other materials obstructing the free flow of oil.

    AI DOES

    Monitors flow data and flags pressure changes on a screen

    YOU DO

    Stay on-site to adjust equipment and respond to unexpected conditions in real time

  8. TASK 08SOURCE-BACKED TASK

    Interpret instrument readings to ascertain the depth of obstruction.

    AI DOES

    Processes sensor data and suggests depth calculations

    YOU DO

    Judge context and confirm the reading

    About this analysis

    19% · Methodology: exposure-v1 · Analysis date: unavailable · Confidence: medium

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Data sources and attribution

This page includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. rtwoai has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.

Wage and employment figures are from the U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics (2025). Job outlook is from the BLS Employment Projections program, 2024–34. BLS data are in the public domain. BLS has not reviewed or endorsed this page.

Task collaboration data is from the Anthropic Economic Index, release 2025-03-27, used under the CC BY 4.0 license. Anthropic has not reviewed or endorsed this page.

How we describe AI use in each task is our own characterization, not a measurement of whether AI can replace this job. Microsoft note that their metrics "should not be misconstrued or misrepresented as measuring the ability of AI to replace jobs," and that there is more to an occupation than the sum of its tasks.