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Petroleum Pump System Operators, Refinery Operators, and Gaugers

Occupation · SOC 51-8093.00

Operate or control petroleum refining or processing units. May specialize in controlling manifold and pumping systems, gauging or testing oil in storage tanks, or regulating the flow of oil into pipelines.

Also called: Gauger · Operator · Pumper · Refinery Operator · Board Operator · Crude Unit Operator · Hydrotreater Operator · Outside Operator · Stillman · Unit Operator · Absorption Plant Operator · Control Board Operator

Job family: Production Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-51-8093-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Calculate test result values, using standard formulas. · 90.6% need a human
See the boundary tasks →

28th-percentile task overlap — yet about 3,200 openings a year (-2.8% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 38th -0.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 35th 0.3
AI assistant applicability (Microsoft) Low 14th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.7 · 58th percentile among occupations · Moderate

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Calculate test result values, using standard formulas. 2.7%
Record and compile operating data, instrument readings, documentation, and results of laboratory analyses. 1.5%
Verify that incoming and outgoing products are moving through the correct meters, and that meters are working properly. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -2.8% by 2034
Projected annual openings 3,200
Employment 2024 → 2034 34,900 → 34,000

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

29% mean task exposure (2025)
55th percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Petroleum and Natural Gas Refining Plant Operators · 3134 29% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Typical AI autonomy 3.0 / 5 · higher = AI acts more independently

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Calculate test result values, using standard formulas. 0.3%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Calculate test result values, using standard formulas. 90.6%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me calculate test result values, using standard formulas.

    From: Calculate test result values, using standard formulas. · 0.3% of measured AI use

Tasks

All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Transferable skills

Operations Monitoring 4.0
Operation and Control 3.8
Complex Problem Solving 3.1
Judgment and Decision Making 3.0
Time Management 3.0

Abilities

Information Ordering 3.8
Flexibility of Closure 3.8
Perceptual Speed 3.8
Near Vision 3.8
Problem Sensitivity 3.6
Selective Attention 3.5
Hearing Sensitivity 3.4
Auditory Attention 3.4
Deductive Reasoning 3.3
Speech Recognition 3.3
Oral Comprehension 3.1
Written Comprehension 3.1
Oral Expression 3.1
Inductive Reasoning 3.1
Category Flexibility 3.1
Control Precision 3.1
Written Expression 3.0
Visualization 3.0
Arm-Hand Steadiness 3.0
Manual Dexterity 3.0
Finger Dexterity 3.0
Multilimb Coordination 3.0

Essential skills

Monitoring 3.6
Reading Comprehension 3.5
Speaking 3.1
Active Listening 3.0
Writing 3.0
Critical Thinking 3.0
Active Learning 3.0

Knowledge

Production and Processing 3.6
Public Safety and Security 3.6
Mechanical 3.5
Administration and Management 3.5
Mathematics 3.2
English Language 3.2

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft Word Word processing software Hot technology
Email software Electronic mail software
Inventory tracking software Inventory management software
Programmable logic controller PLC software Industrial control software
Supervisory control and data acquisition SCADA software Industrial control software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Outdoors, Exposed to All Weather Conditions 4.8
Exposed to Hazardous Conditions 4.8
Exposed to Contaminants 4.7
Exposed to Very Hot or Cold Temperatures 4.7
Work With or Contribute to a Work Group or Team 4.5
Face-to-Face Discussions with Individuals and Within Teams 4.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.3
Telephone Conversations 4.3
Exposed to High Places 4.3
Contact With Others 4.3
Consequence of Error 4.2
Determine Tasks, Priorities and Goals 4.2
Frequency of Decision Making 4.2
Impact of Decisions on Co-workers or Company Results 4.1
Importance of Being Exact or Accurate 4.0
Health and Safety of Other Workers 4.0
E-Mail 3.9
Outdoors, Under Cover 3.9
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.9
Indoors, Environmentally Controlled 3.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.8
Importance of Repeating Same Tasks 3.8
Time Pressure 3.8
Freedom to Make Decisions 3.7
Exposed to Hazardous Equipment 3.7
Written Letters and Memos 3.7
Work Outcomes and Results of Other Workers 3.6
Indoors, Not Environmentally Controlled 3.6
Exposed to Minor Burns, Cuts, Bites, or Stings 3.5
Pace Determined by Speed of Equipment 3.5
In an Enclosed Vehicle or Operate Enclosed Equipment 3.4
Spend Time Sitting 3.3
Degree of Automation 3.3
In an Open Vehicle or Operating Equipment 3.3
Physical Proximity 3.3
Spend Time Standing 3.0
Spend Time Making Repetitive Motions 2.9
Spend Time Walking or Running 2.9

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 97.0%
Post-Secondary Certificate 1.7%
Some College Courses 1.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 6.2
Conventional 5.1
Investigative 2.4
Enterprising 2.2

Interest areas

Mechanics/Electronics 4.7
Engineering 4.2
Transportation/Machine Operation 3.2
Physical/Manual Labor 3.0
Mathematics/Statistics 2.1
Management/Administration 2.0
Physical Science 1.9

Work styles

Cautiousness 3.0
Dependability 3.0
Attention to Detail 2.4
Integrity 1.9
Stress Tolerance 1.9

Wages & employment

U.S. · annual wages (BLS OEWS)

$60k10th$78k25th$98kMedian$105k75th$113k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
35k202434k2034 (proj.)-2.8% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $59,790
25th percentile $77,970
Median (50th) $97,540
75th percentile $104,660
90th percentile $112,920
People employed 34,860

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Manufacturing · Sector 21,290 $100,970
Transportation and Warehousing · Sector 7,890 $93,010
Mining, Quarrying, and Oil and Gas Extraction · Sector 2,070 $80,380
Wholesale Trade · Sector 2,060 $52,760
Construction · Sector 230 $85,660
Management of Companies and Enterprises · Sector 200 $63,460
Utilities · Sector 190 $60,570
Professional, Scientific, and Technical Services · Sector 110 $104,000
Administrative and Support and Waste Management and Remediation Services · Sector 40 $56,070
Other Building Equipment Contractors · National industry 30 $63,850

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Mining, Quarrying, and Oil and Gas Extraction · Sector 15.97× 2,070
Manufacturing · Sector 7.38× 21,290
Transportation and Warehousing · Sector 4.72× 7,890
Wholesale Trade · Sector 1.51× 2,060
Utilities · Sector 1.45× 190
Management of Companies and Enterprises · Sector 0.31× 200
Construction · Sector 0.13× 230
Professional, Scientific, and Technical Services · Sector 0.05× 110

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Petroleum Pump System Operators, Refinery Operators, and Gaugers sits at the 28th percentile of AI task-overlap and the 80th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Petroleum Pump System Operators, Refinery Operators, and Gaugers Wellhead Pumpers Service Unit Operators, Oil and Gas Biofuels Processing Technicians Gas Plant Operators Stationary Engineers and Boiler Operators AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Petroleum Pump System Operators, Refinery Operators, and Gaugers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 55th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Petroleum Pump System Operators, Refinery Operators, and Gaugers show 28th-percentile AI task overlap — and about 3,200 annual U.S. openings

  • Petroleum Pump System Operators, Refinery Operators, and Gaugers rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 3,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-2.8%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $97,540, across about 34,860 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Petroleum Pump System Operators, Refinery Operators, and Gaugers show 28th-percentile AI task overlap — and about 3,200 annual U.S. openings

• Petroleum Pump System Operators, Refinery Operators, and Gaugers rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 3,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-2.8%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $97,540, across about 34,860 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Petroleum Pump System Operators, Refinery Operators, and Gaugers". https://singulariki.com/roles/role-51-8093-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Petroleum Pump System Operators, Refinery Operators, and Gaugers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-51-8093-00

APA

Singulariki. (2026). Petroleum Pump System Operators, Refinery Operators, and Gaugers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-51-8093-00

BibTeX
@misc{singulariki-role-51-8093-00,
  title  = {Petroleum Pump System Operators, Refinery Operators, and Gaugers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-51-8093-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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