Career card

Petroleum Engineers

Also called: Drilling Engineer, Engineer, Petroleum Engineer, Reservoir Engineer

Devise methods to improve oil and gas extraction and production and determine the need for new or modified tool designs. Oversee drilling and offer technical advice.

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Median pay BLS, 2025$144,910
Openings a year BLS, 2025–351,000
Typical education to start BLSBachelor's degree
AI exposure BLS, Aug 2026 High
Projected job growth BLS, 2025–35 +2.0%

What the data says: AI could halve the time on 16 of its 23 tasks, yet jobs are projected to grow 2.0% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

Recent conditions

  • In 2024, 2.0% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 8.7 hires for every 10 job openings in mining and logging, which employs about 52% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 95% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$93k$206knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabamanot publishednot published50
Alaska$206,290$174,050 to $219,480280
California$143,590$126,500 to $171,9801,060
Colorado$172,190$112,070 to $214,2201,390
Floridanot publishednot published40
Kansas$115,640$92,650 to $127,820110
Louisiana$139,640$89,880 to $178,810710
Michigannot publishednot published580
Minnesotanot publishednot published40
Montana$104,060$80,380 to $137,540not published
Nebraska$100,800$95,960 to $135,540150
New Mexico$99,900$93,200 to $127,490260
North Dakota$132,120$98,510 to $158,280130
Ohio$99,260$93,760 to $134,940200
Oklahoma$153,020$124,460 to $178,4701,450
Pennsylvania$101,880$96,040 to $138,890600
Tennesseenot publishednot published70
Texas$164,860$123,450 to $220,3309,140
Utah$172,840$122,000 to $186,860280
Washington$134,800$129,510 to $176,740190
West Virginia$93,360$82,370 to $148,350380
Wyomingnot publishednot published280

Nationally: $144,910. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 16 of its 23 tasks

2 · AI alone could halve the time 14 · AI + software built on it could 7 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
AI + software Assist engineering and other personnel to solve operating problems. Not published
AI + software Specify and supervise well modification and stimulation programs to maximize oil and gas recovery. Not published
AI + software Monitor production rates, and plan rework processes to improve production. Not published
AI alone Write technical reports for engineering and management personnel. under 0.01%
AI + software Maintain records of drilling and production operations. Not published
AI + software Assess costs and estimate the production capabilities and economic value of oil and gas wells, to evaluate the economic viability of potential drilling sites. Not published
See all 23 tasks
AI + software Direct and monitor the completion and evaluation of wells, well testing, or well surveys. Not published
AI + software Confer with scientific, engineering, and technical personnel to resolve design, research, and testing problems. Not published
AI + software Evaluate findings to develop, design, or test equipment or processes. Not published
Not much Coordinate activities of workers engaged in research, planning, and development. Not published
AI + software Analyze data to recommend placement of wells and supplementary processes to enhance production. Not published
AI + software Interpret drilling and testing information for personnel. under 0.01%
AI + software Develop plans for oil and gas field drilling, and for product recovery and treatment. Not published
AI + software Simulate reservoir performance for different recovery techniques, using computer models. Not published
AI + software Assign work to staff to obtain maximum utilization of personnel. Not published
AI + software Design and implement environmental controls on oil and gas operations. Not published
Not much Coordinate the installation, maintenance, and operation of mining and oil field equipment. Not published
AI alone Conduct engineering research experiments to improve or modify mining and oil machinery and operations. Not published
Not much Take samples to assess the amount and quality of oil, the depth at which resources lie, and the equipment needed to properly extract them. Not published
Not much Supervise the removal of drilling equipment, the removal of any waste, and the safe return of land to structural stability when wells or pockets are exhausted. Not published
Not much Test machinery and equipment to ensure that it is safe and conforms to performance specifications. Not published
Not much Design or modify mining and oil field machinery and tools, applying engineering principles. Not published
Not much Inspect oil and gas wells to determine that installations are completed. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 2 of the 23 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 23 tasks fall under 24 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up16 of 23 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most4 of 24 activities
  • #7 Explain technical details of products or services
  • #20 Present research or technical information
  • #27 Research technology designs or applications
  • and 1 more, in the table below
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Direct organizational operations, activities, or procedures 1.85#204 0.36#225
Explain technical details of products or services 224#7 235#10
Present research or technical information 100#20 339#6
Research technology designs or applications 67#27 4.96#91
Determine operational methods or procedures 45#37 22#46
Plan work activities 21#55 14#57
Analyze performance of systems or equipment 18#61 4.99#89
Develop models of systems, processes, or products 15#65 6.04#77
Show all 24 activities
Coordinate with others to resolve problems 14#75 5.59#81
Develop operational or technical procedures or standards 13#79 9.18#68
Evaluate designs, specifications, or other technical data 11#85 4.31#100
Test performance of equipment or systems 9.09#97 2.28#123
Resolve personnel or operational problems 4.79#129 2.96#114
Monitor operations to ensure adequate performance 3.59#153 0.73#180
Maintain operational records 2.92#170 0.49#209
Manage control systems or activities 2.61#177 0.68#185
Analyze environmental or geospatial data 2.20#193 0.49#208
Develop systems or practices to mitigate or resolve environmental problems 1.27#224 0.52#199
Direct scientific or technical activities 1.24#227 1.58#137
Inspect commercial, industrial, or production systems or equipment 0.84#245 0.32#232
Collect samples of products or materials 0.70#256 0.13#262
Supervise personnel activities 0.56#266 0.05#283
Design industrial systems or equipment 0.47#273 0.18#248
Direct construction or extraction activities 0.06#321 0.03#293
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Supervise personnel activities” holds 1 task rated AI + software, yet people asked AI for help with it in 0.56 of every 10,000 conversations, #266 of 332.

How people in this work use Claude

What people in this work made with Claude % of conversations

  • An explanation or answer39%
  • A document or report37%
  • An analysis or summary6%
  • A chart or visualization4%
  • A plan or strategy3%

How they worked with Claude

39% handed the task off61% worked on it together

55% of these conversations were about work. Anthropic Economic Index, May 2026.

How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for petroleum engineers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Petroleum engineers: +2.0%Petroleum EngineersAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Petroleum engineers: +2.0%Petroleum Engineers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 7,462 moves out

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 12%
  2. 2 Management Analysts Very high +10.1% 8%
  3. 3 General and Operations Managers High +5.0% 7%
  4. 4 Architectural and Engineering Managers High +5.5% 6%
  5. 5 Engineers, All Other Very high +3.7% 6%

Where people moved in from

of 7,966 moves in

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 10%
  2. 2 Engineers, All Other Very high +3.7% 6%
  3. 3 Architectural and Engineering Managers High +5.5% 6%
  4. 4 Management Analysts Very high +10.1% 5%
  5. 5 Industrial Engineers Very high +12.4% 3%

Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 8% high school
  • 72% bachelor's
  • 5% master's
  • 15% not published

O*NET marks 15% of the answers as too uncertain to publish, so the parts shown don't add up to 100%.

O*NET 31.0 survey of workers in this occupation · 20 people answered.

Census survey (American Community Survey)

  • 2% less than high school
  • 10% high school
  • 4% some college
  • 4% associate's
  • 51% bachelor's
  • 19% master's
  • 2% professional degree
  • 8% doctorate

Census ACS 2024, all workers in this occupation · 270 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Programs that prepare people for it (NCES)
2 programs: Geotechnical and Geoenvironmental Engineering and Petroleum Engineering.

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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