EXPOSED
The modal petroleum engineer spends most of the week in reservoir simulation software, production data analysis, decline-curve fitting, AFE cost estimates and drilling reports — workflows where AI plus automated history-matching already compresses hours into minutes. What persists is ownership of the multi-million-dollar call: where to land a lateral, whether to shut in a well, how to respond when downhole pressures diverge from the model, and standing behind that decision in front of operations and regulators. Licensure is a partial shield only — the industrial exemption means many practicing petroleum engineers never sit for the PE, though state filings and well permits do require signed engineering approval.
This fall is concentrated in 2020 and has not recovered since.
Median pay $137,720 → $144,910 -15.8% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+1.3% 19,600 → 19,800 on the projections basis
Growing, and only partly exposed
The BLS expects +1.3% more of these jobs by 2034, and at 48/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~1,200 openings a year on average, including replacing people who leave.
EngineerGas EngineerMud EngineerTest EngineerDesign EngineerLogging EngineerDrilling EngineerOil Well EngineerPipeline EngineerResearch EngineerPetroleum EngineerReservoir EngineerCompletion EngineerNatural Gas AnalystOperations EngineerExploration EngineerGas Turbine EngineerNatural Gas EngineerOil and Gas EngineerProspecting ObserverOil Drilling EngineerCertification EngineerWell Surveying EngineerOil Exploration Engineer
Holding it up: judgment & accountability . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Decline-curve fits, nodal analysis, material-balance checks, Eclipse/CMG history-matching runs and AFE line-item buildups are already largely machine-executable, but choosing frac stage spacing on a new bench with three offset wells of ambiguous interference data, or diagnosing why a well is loading up when gauge data and allocation disagree, still needs a human to commit — that mix of automatable back-end and non-delegable interpretation is what puts it at 10 rather than 5.
Some physical or field component Most weeks are at a workstation, but the job includes location visits during spud and completion, standing on the rig floor watching mud returns and torque-and-drag, witnessing a frac job, and pulling wellhead pressures — episodic field presence in H2S-rated, MSHA/OSHA-governed environments rather than the daily hands-on exposure of a lease operator or wireline hand, hence 8.
Certification preferred, not legally required The industrial exemption in most producing states means the engineer who designs a completion often holds no PE stamp at all, and the company's authorized signatory seals the state form; where a signed engineering approval is required — H-1s, W-3 plugging plans, allowable filings — the seal is real, and that split between exempt practice and stampable filings lands this at 8 instead of the 14+ a civil structural engineer gets.
Exists to be accountable for ambiguous calls Deciding to shut in a producing well, change mud weight when pore pressure comes in higher than prognosis, call for a casing string that wasn't in the plan, or sign off on PRMS proved-reserve bookings that flow into SEC filings are ambiguous, expensive, sometimes safety-critical calls where the engineer's name is on the recommendation and the well control incident or reserve writedown traces back to it — 15 reflects genuine ownership without the sole-signature finality of a licensed structural or medical decision.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (10/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (8/20) is whether the law requires a licensed human to sign. Trust premium (7/20) is whether buyers specifically pay for a person. Judgment and accountability (15/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 30 of this occupation's 48 points (63%).
Embodiment (8/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
No occupation passed every test: close enough to petroleum engineers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 64/100, still EXPOSED.
State regulator rules requiring a licensed engineer of record to attest to injection-well and Class VI CO2 sequestration permit applications — EPA Class VI and Louisiana/Texas primacy programs already demand sealed geologic and pressure-front modeling. Expansion of sealed-attestation requirements to routine frac permits and offset-well pressure notifications (as in Texas RRC seismic response areas and New Mexico OCD rules) adds a signature chokepoint AI cannot occupy.
Genuine two-tier structure: if automated history-matching and decline-curve fitting absorb the routine tier, the residual role is anomaly response — divergence between downhole pressure and model, stuck-pipe and kick decisions, offset-well interference calls — which is precisely the tier where training data is thin and consequences are non-recoverable. Task-mix shift alone can lift this without any law.
Narrowing or repeal of the industrial exemption in state engineering practice acts (NCEES has pushed model-law language toward this; Texas HB-1000-style periodic reviews of the TBPE exemption are the concrete thing to watch). If well permits, plugging/abandonment plans, casing designs and P&A cost estimates had to carry a named PE seal with personal liability rather than a corporate signature, this rises sharply.
Post-incident regime change: a BSEE or state enforcement action naming an individual engineer for a well-control or induced-seismicity event, or SEC scrutiny of AI-generated reserves estimates, would force operators to designate a personally accountable reservoir engineer of record for PUD bookings under SEC Rule 4-10 rather than a committee.
The limit. Trust premium has no plausible route: the buyer is an operator's capital committee, not a retail client, and no one pays extra for a human-authored AFE. Embodiment is capped too — the engineer is in Houston, the roughneck is on the pad. Headcount is also tied to commodity capex cycles, which can cut deeper and faster than automation regardless of any dimension here.
| Houston-Pasadena-The Woodlands, TX | 4,770 | $169,870 +17% |
| Midland, TX | 940 | $172,070 +19% |
| Dallas-Fort Worth-Arlington, TX | 910 | $168,600 +16% |
| Denver-Aurora-Centennial, CO | 900 | $174,580 +20% |
| Oklahoma City, OK | 700 | $176,200 +22% |
| Tulsa, OK | 370 | $130,750 -10% |
| Los Angeles-Long Beach-Anaheim, CA | 330 | $167,000 +15% |
| New Orleans-Metairie, LA | 320 | $148,390 +2% |
| Anchorage, AK | 200 | $212,240 +46% |
| Salt Lake City-Murray, UT | 110 | $180,230 +24% |
| Oklahoma City, OK | 700 | $176,200 +22% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 48. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.