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The petroleum geologist who owns data quality

$287,180top of the range in Texas · middle $101,920 / yr
AI augments this role

Petroleum Geologists in the United States earn a median of $101,920 a year. Pay starts near $59,330. Pay reaches $287,180 at the top of the range in Texas, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Geoscientists, Except Hydrologists and Geographers, SOC 19-2042). Last checked 9 September 2026.

Entry level
$59,330
Top of the range · Texas
$287,180
Education
Master's degree in Geology
Lower disruption Higher exposure AI augments this role
Entry · $59,330 Top of range · $287,180 (Texas) Middle $101,920

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Geoscientists, Except Hydrologists and Geographers). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Petroleum GeologistReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Petroleum Geologist work right now.

Julius AINEWFree / $20 mo

AI data analyst that runs statistics and charts from plain-language prompts.

How a Petroleum Geologist uses it: analyze datasets and generate figures without writing code

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Petroleum Geologist uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

ElicitFree / $12 mo

AI research assistant that finds and summarizes papers.

How a Petroleum Geologist uses it: run a literature review and extract findings across dozens of papers fast

ConsensusFree / $9 mo

AI search that answers questions from peer-reviewed research.

How a Petroleum Geologist uses it: get evidence-backed answers with the studies behind them

SciSpaceFree / paid

AI that explains papers and helps with literature review.

How a Petroleum Geologist uses it: decode dense papers and trace citations quickly

SciteFree / $20 mo

Shows whether other studies support or contradict a paper's claims (Smart Citations).

How a Petroleum Geologist uses it: check if a finding is actually backed by the wider literature before you cite it

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Petroleum Geologist uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Petroleum Geologist uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

Google GeminiFree / $20 mo

Google's AI assistant, built into Gmail, Docs, and Search.

How a Petroleum Geologist uses it: draft and reply inside Google Workspace and research without leaving the page

A petroleum geologist draws the subsurface until a well location is either defensible or dead. The map is the opinion. The well, when it exists, is evidence: logs, shows, and pressures that either support the map or force a rewrite. The career lives in basin offices and data rooms. Pay is read from a broader geoscientist series, and Texas appears twice, as two different statistics.

A map that is allowed to be wrong in a useful way

You start with data that do not agree with each other. Seismic says one thing about a horizon. A sparse set of well logs says another. An old map in the project file has been copied so many times that nobody remembers the assumption underneath it. Your job is a new map with the assumption written down. Where is the reservoir rock. Where is the trap. What would have to be true for hydrocarbons to still be there. A pretty surface that hides the uncertainty is a failed map, even if the colors are convincing.

The week mixes the screen and the conversation. You correlate a log, you pick a horizon, you argue with a geophysicist about a fault, and you sit with a petroleum engineer about whether the volume you are carrying can support a well. You write the uncertainty in words a non-geologist can use: what you would bet, what you would not, and which new piece of data would change the bet. Managers do not need every contour. They need the decision the contours are for.

Prospect reviews are the public version of the same work. You stand up with the map and you invite attack. A colleague who wants a different fault, a partner company that wants a bigger volume, an engineer who thinks the well you love cannot be justified. You defend what the data support and you give up what they do not. People who treat the review as a performance keep their favorite idea and lose the room. People who update the map in public become the geologists others want on the next prospect.

Wells as evidence, not as a procedure

A well, in this job, is a test of the map. Before it exists you recommend a location and a purpose: what interval matters, what result would confirm the idea, what result would kill it. You describe that purpose to the engineers who will plan the well. You do not take over their work and you do not write field instructions. Your document is geological: the target, the risks in the rock, and the observations you need back.

While the well is underway you may sit in an operations room as the geological voice. You watch the information that comes up and you say whether it still matches the prognosis. You call the changes that matter to the objective. You keep a written record so the morning meeting is not a contest of memories. After the well, you tie the new logs and samples into the map. A success that you cannot explain is less useful than a dry hole that tells you the trap was never there. Both outcomes belong in the next version of the surface.

Development geology is the same craft on a field that already produces. You map where the remaining opportunity sits. You argue about whether two wells saw the same rock. You help decide which location is a keeper and which is wishful. Exploration geology chases a prospect that has never been tested. The tools overlap. The appetite for being wrong is higher in exploration, and the cost of being wrong is more personal, because the prospect often has your name on it. Know which of those jobs the posting actually is.

A geology degree, and a license in some states

Degree first, stamp only when the work requires it

Operators hire petroleum geologists on a geology degree and a map they can defend. A professional geologist license matters in states and roles where documents must be signed. It is not the universal ticket into an oil-company desk.

The usual credential is a bachelor's or graduate degree in geology or a close geoscience field. The university grants it. It proves you were taught to read rocks, maps, and subsurface data under a curriculum the hiring manager recognizes. A professional geologist license, in states that issue one, is granted by the state board. Many of those boards use exams associated with ASBOG. The license proves you met that state's requirements to offer geological services to the public or to sign certain work. Inside a large operator, a great many desks never ask for the stamp.

Prepare the degree, then a map-heavy project or a thesis you can explain without a slide full of jargon. If a posting or a consulting path requires the license, follow that state's path: the education the board wants, the experience it counts, and the exams it uses. Keep the description at that shape. Do not treat the license as a substitute for being able to correlate a log, and do not skip it when the signature line is real. Ask the employer which of those worlds the seat is in.

What you carry to an interview is a redacted map and the story of a decision. What the data were. What you concluded. What would have falsified it. If you have sat a well as the geological voice, describe the call you made and what the result did to the model. Leave confidential depths and partner names out. Judgment travels. Leaked prospect details do not.

Basin offices and the way they hire

Operators, mineral owners' technical teams, and consultancies hire this role. Say whether you are an explorer or a development geologist, and name the basins or the data types you actually know. A new graduate is hired on coursework, a field camp or a subsurface project, and an internship if one exists. A mid-career geologist is hired on prospects or field studies that reached a decision. Apply to the group that owns the maps. A resume aimed at "energy" in general makes the reader do your sorting, and the reader will not.

Interviews often become a map conversation. You may be handed a log snippet or asked to walk through how you would frame a prospect. Think aloud. Separate observation from interpretation. Say what you do not know. The candidate who invents certainty to look senior loses to the candidate who can keep a hypothesis on a short leash. If they ask about a dry hole, talk about what the map believed and what you changed afterward. A dry hole you understood is a better story than a discovery you cannot explain.

Ask who critiques your maps and how a location gets approved. A good answer names a review, a partner conversation, or an engineer who must agree the well is worth planning. A vague answer about "supporting the team" can mean you will draft other people's ideas and never own a prospect. Early in a career that support role can be the right school. It should be described honestly so you know whether you are learning to map or learning to decorate.

Prospect geologist, then the person who sets the play

The path runs from geologist or junior mapper, to a geologist with your own prospects or field areas, to a senior or lead who sets which ideas the group will spend on. Juniors build surfaces, tie wells, and learn the basin's habits. Owners of prospects take the review and live with the result. Leads decide which maps are ready and which are still stories. Some geologists become specialists in a single method and advise every team. That can be a full career. The spine to understand is still mapper, owner of a prospect, setter of the play.

Promotion follows maps that were tested. A location that was drilled and then honestly tied back. A development recommendation that changed where the next well went. A written uncertainty that later proved either right or instructively wrong. What moves you toward lead is editing other people's prospects without flattening them, and killing your own idea when the data turn. Teams remember who could do the second thing. They get tired of who could only do the defense.

Plays go in and out of fashion, and companies shrink when prices fall. The skill that survives is reading the subsurface and saying what a well is for. Keep a portfolio of decisions you can discuss with the sensitive numbers removed. A title from a boom year explains less, in the next interview, than a map you can still defend. If you want the lead chair, sit in reviews that are not yours. The play-level view is built by watching how other prospects fail.

Two Texas figures, and a list that ends there

The wages are Occupational Employment and Wage Statistics, May 2025, for Geoscientists, Except Hydrologists and Geographers. A petroleum geologist's pay is read from that broader series. Entry is $59,330. The national median is $101,920. The step from entry to the median is $42,590. A new mapper can sit near entry. A geologist who already owns a prospect or a field area is closer to the national median, and $42,590 is the gap to name when the offer has not caught up.

Texas holds both the high end of the published range and the highest median, and they are different statistics. The high end in Texas is $287,180. The Texas median is $145,220, which is $43,300 above the national median. Do not treat those two Texas numbers as one fact. One is the top of the published range. The other is typical pay. From the national median up to the Texas high end is $185,260, a span for senior scope, not for a first desk.

State medians, in this sequence, are Colorado at $114,410, California at $106,500, Washington at $105,020, Oklahoma at $119,990, and Texas last at $145,220. The sequence is not a ranking from low to high. Texas is last and still the highest median. Oklahoma's median sits above Colorado, California, and Washington even though those three are named earlier. The lowest median in the published set is Pennsylvania at $84,180. The gap between that median and Texas's median is $61,040. That gap is a contrast between places. It is a different statistic from the $287,180 high end.

In an offer meeting, use one shelf at a time. Entry if you are new to owning a map. The national median if the prospect is yours. Colorado, California, Washington, Oklahoma, or Texas as a median only for the state where the desk sits, remembering Texas's median is $145,220 and not $287,180. Save the high end for a lead role you can describe. The $43,300 between the national median and the Texas median is the location conversation. The $42,590 from entry to the national median is the seniority conversation. They are almost the same size and they are not the same argument.

What to put next to the dollar

Bring a map story and a single gap. If the offer is near $59,330 and you already take prospects through review, name $101,920 and the $42,590 between them. If the job is in Texas, say whether you are discussing typical pay at $145,220 or the high end at $287,180 before anyone congratulates you. If the job is in Colorado, California, Washington, or Oklahoma, use that state's median as the local middle and leave the Texas high end out unless the scope is truly that wide.

Ask whether the number is base pay and how bonus behaves when drilling budgets shrink. Ask it without inventing a bonus figure. A lead title that means you set the play can look up the long span from the national median toward $287,180. A junior title paid with boom optimism belongs back at entry or the median, matched to what you actually sign. The license matters when the seat requires a stamp. The map matters in every seat. Update it when the well says you were wrong. That habit is what makes the higher anchor credible the next time you negotiate.

The top of Petroleum Geologist pay — and how to get there with AI

$287,180what Petroleum Geologist pay reaches in Texas

Highest state-level top-of-range annual wage for Geoscientists, Except Hydrologists and Geographers, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

And the role it leads to — Data Scientists — reaches $224,920 in California.

$59,330entry$101,920middle$287,180top end

Anyone can draw a map; the petroleum geologist near the top of the range is the one whose maps are trusted without re-checking, because the log, survey and sample data underneath them has been validated by a process that person built.

Look at what the job actually rests on: measuring characteristics of the Earth with seismographs, gravimeters, torsion balances and magnetometers; conducting field studies, sample collection and drilling and testing programmes; estimating probable oil and gas deposits from survey results and aerial photographs; and reviewing technical reports for accuracy. Every one of those is a measurement with an error attached, and errors compound quietly into prospect maps. Most teams carry decades of legacy well data with inconsistent tops, unverified deviation surveys and sample descriptions from six different loggers. Reconciling that once took a summer of student labour. Now a geologist with GeoPLUS Petra open, a scripting habit and an assistant to draft the checking code can rebuild a field's data foundation in weeks — and the person who rebuilds it becomes the person prospects get argued in front of.

Your playbook, by where you are now

Just startingDoubt your inputs before your interpretation

  1. Pick correlations on a hundred wells yourself before accepting anyone else's tops, and record where you disagreed.
  2. Learn what the survey and logging instruments physically measure and what their known failure modes look like on a curve.
  3. Load your own data into GeoPLUS Petra rather than receiving a finished project, so you meet the messy parts personally.
  4. Build one quality check in Microsoft Excel — a depth reconciliation, a deviation survey sanity test — and run it on every dataset you touch.
  5. Read the historical reports on your field for accuracy, and note the claims that were repeated forward without ever being re-tested.

What proves it: A validated well set with a documented list of the corrections you made and why.

Realistic span: the first three years after your degree

A few years inRebuild the foundation under a play

  1. Take one play or field and make its well database defensible: consistent tops, checked surveys, sample descriptions reconciled to one vocabulary.
  2. Write the checks as code rather than as a one-off cleanup, using an assistant such as Claude to draft them and your own reading to approve them.
  3. Standardise map and cross-section output in ESRI ArcGIS software so scale, symbology and metadata are the same on every deliverable.
  4. Bring legacy paper and raster material in through Atoll GeoCAD instead of leaving it uncaptured on a shelf.
  5. Keep the checking code and the map templates under Git so every change to the standard is a dated decision.

What proves it: A play-scale dataset other geologists build prospects on without re-checking it.

Realistic span: years four through eight

ExperiencedBe the review the prospects go through

  1. Set the technical assurance process: what a prospect must demonstrate about its data before it is ranked for drilling.
  2. Attach an honest uncertainty statement to every volumetric estimate, and refuse to let it be dropped from the summary slide.
  3. Extend the same discipline to hazard work — how identified risks such as mudslides or earthquakes are evidenced and worded for a non-specialist.
  4. Mentor new geologists into the standard and audit their work against it rather than assuming it transferred.
  5. Build enough scripting and statistics that the data science route stays open; Texas remains where the subsurface work and the pay concentrate.

What proves it: A technical assurance standard your organisation runs its prospect reviews through.

Realistic span: nine years and beyond

The next 90 days

In the next ninety days, audit the deviation surveys and formation tops on one field you work with. Take a hundred wells, check each survey for missing sections, unit confusion and stations that imply an impossible dogleg, then re-pick two tops yourself across the whole set and compare with what is in the database. Keep a spreadsheet of every discrepancy with its magnitude. What comes out of that exercise is usually uncomfortable: wells posted tens of feet from where they really are, tops picked by three people who never agreed on the criterion. Write it up with the map redrawn both ways, before and after correction, side by side. A petroleum geologist who can show that the picture changes when the data is cleaned has made an argument that no interpretation, however elegant, can make.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Petroleum Geologist

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Start inside your interpretation platform. Open Petrel (SLB) or Kingdom and learn its machine-learning tools — automated fault and horizon tracking, seismic facies classification, and log prediction — plus Petrel's Python (Ocean) access. These turn weeks of manual picking into supervised, auditable runs on data you already own.

Add a general assistant: use Claude or ChatGPT to write Python for petrophysics, log QC, and multi-well correlation, and to brush up on a play type or a basin's stratigraphy. Keep all proprietary seismic, well, and lease data inside company systems — use consumer AI only for public concepts and code.

The one rule, forever: AI interpretations are non-unique hypotheses about the subsurface — an ML-picked horizon or predicted facies can be confidently wrong, and a bad call drives a multimillion-dollar dry hole or a mis-placed well. Tie every AI result back to well control, physics, and the geologic model, and quantify uncertainty before it informs a drill or investment decision. Keep proprietary seismic, well, and lease data out of consumer AI tools; treat all subsurface data as confidential and non-public.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Accelerate seismic interpretation with machine learning
Why this pays: Faster, more consistent interpretation means more prospects evaluated and better-defined targets — the throughput and quality that get a geologist onto the wells that make money.
PetrelBluwareOpendTect
1
Use Petrel's ML fault and horizon tracking, or Bluware deep-learning tools, to auto-pick across the volume, then QC every surface against well ties.
2
Build a combined ML-plus-manual interpretation workflow.
Copy-paste this prompt
Act as a seismic interpreter. I'm mapping [a faulted carbonate reservoir] in [basin]. Explain a workflow to combine machine-learning horizon and fault extraction with manual QC: how to seed and constrain the auto-tracker, which seismic attributes best highlight [faults / channels / direct hydrocarbon indicators] for this setting, how to tie to well control, and the artifacts (multiples, acquisition footprint) that fool ML pickers. List the checks that confirm an interpretation is geologically valid.
Auto-tracked surfaces are drafts — every horizon must tie to wells and make geologic sense before it maps a prospect.
3
Map the volumetrics and document the interpretation's uncertainty for the decision at hand.
What you'll haveMore prospects interpreted, better defined, faster — the pipeline that gets you on the wells that pay.
2
Predict facies, petrophysics, and pay from logs with ML
Why this pays: Correctly identifying pay and reservoir quality across many wells is the core value-add — and where a strong geologist beats the field.
TechlogPython (scikit-learn)Petrel
1
In Techlog, use its ML modules to predict lithofacies and continuous logs (for example a synthetic sonic or porosity log) where data is missing, validating against core and cased-hole data.
2
Set up a leakage-free log-prediction workflow.
Copy-paste this prompt
You are a petrophysicist. I want to predict [facies / a missing porosity log] across [N] wells from available logs (GR, resistivity, density, neutron). Recommend a workflow: feature selection, how to handle depth-shifting and log normalization across wells, a suitable ML model, how to train and validate without leaking nearby depths, and how to QC predictions against core. Flag where the prediction will be least reliable.
Log-prediction ML leaks easily across depth — validate on wholly held-out wells and tie to core before trusting any pay call.
3
Build the pay summary and reconcile predicted pay with production wherever you have it.
What you'll haveReliable, multi-well pay and reservoir-quality calls — the interpretation edge that defines good wells.
3
Correlate wells and build the geologic model faster
Why this pays: Development decisions ride on correct correlation and a sound model; getting it right and fast across a field is senior-geologist work.
PetrelPythonClaude
1
Script multi-well log loading, normalization, and correlation in Python to propose stratigraphic picks, then adjust them by hand in Petrel.
2
Semi-automate marker correlation without losing geologic control.
Copy-paste this prompt
Act as a development geologist. I'm correlating [formation] across [N] wells in [field]. Suggest an approach to semi-automate marker correlation from logs (which curves, flattening strategy, handling faults and unconformities), how to spot miscorrelations, and how to represent lateral facies changes in a depositional framework. Give the Python for loading LAS files and computing the normalization. Note where automation will fail and needs the geologist.
Automated correlation breaks across faults and facies changes — the geologist owns every pick that drives well spacing and volumes.
3
Feed the QC'd correlation into the static model and volumetrics.
What you'll haveA sound, well-tied geologic model built faster — the basis for good development and drilling calls.
4
Screen basins, plays, and data rooms with AI research
Why this pays: Fast, thorough screening finds opportunities others miss and avoids bad deals — new-venture and A&D value that seniors and consultants are paid for.
EnverusPerplexityNotebookLM
1
Use Enverus for well and production data, and use Perplexity and NotebookLM to synthesize public reports, papers, and regulatory filings on a play.
2
Build a sourced screening brief on a play.
Copy-paste this prompt
You are an exploration new-ventures geologist. Build me a screening brief on the [play/basin]: known petroleum-system elements (source, reservoir, seal, trap, timing), key producing analogs and typical EURs, main risks, and the public data sources (state surveys, papers, filings) I should pull. Cite each claim's source, and separate established fact from speculation. This is for public-data screening only.
Screening uses public data — verify against primary sources and never mix in confidential seismic or lease data through a consumer tool.
3
Rank opportunities by risked value and take the shortlist forward for detailed work.
What you'll haveA sharper opportunity funnel and fewer bad entries — the new-ventures judgment that pays at the top.
5
Automate reporting and become the team's geoscience-data lead
Why this pays: Automating volumetrics, look-backs, and drilling reports frees senior time and makes you the person the asset team relies on — the route to lead and principal comp.
PythonPower BIClaude
1
Script the recurring volumetric, prospect-inventory, and well look-back reports, and publish an asset dashboard in Power BI.
2
Automate the risked prospect-inventory ranking.
Copy-paste this prompt
Write a Python script that takes our prospect inventory (name, Pmean volumes, chance of success, well cost) and produces a risked-value ranking table plus an expected-value and a simple portfolio chart, exported to Excel. Add a look-back sheet comparing pre-drill predicted vs actual for drilled prospects. Comment it for a geologist, and flag the inputs that most affect the ranking.
Risked volumes drive investment — reconcile the script against your source numbers and document assumptions before circulating.
3
Standardize the tooling and teach the team; owning geoscience data and reporting builds promotion visibility.
What you'll haveSelf-running reporting and trusted dashboards — the indispensability behind principal-geoscientist pay.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $287,180 tier.

Month 1
Learn the ML tools in Petrel or Techlog on a dataset you own, and automate one report with Python.
Months 2-3
Run ML-assisted seismic interpretation and log or facies prediction, QC'd against wells and core.
Months 3-6
Semi-automate multi-well correlation, build a sound static model, and screen one new play with AI research.
Months 6-12
Publish asset dashboards and a risked prospect inventory, and present a prospect or opportunity you defined.
Year 2
Lead geoscience interpretation and data tooling for an asset or venture — the senior scope behind pay at the top of the range.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Bolstad, GIS Fundamentals, 7th ed.

Same live Bolstad 7th already on gis-analyst / urban-planner / forest-ranger / cartographer / hydrologist / park-ranger / archaeologist / wildlife-biologist / paleontologist / city-planner / biologist / conservation-officer / environmental-consultant / limnologist / landscape-designer / urban-forester / ornithologist (ASIN 0971764751). This leftover page is BLS Geoscientists, Except Hydrologists and Geographers (SOC 19-2042); play 3 is Correlate wells and build the geologic model faster; playbook says Standardise map and cross-section output in ESRI ArcGIS software so scale, symbology and metadata are the same on every deliverable. GIS fundamentals text for leftover ArcGIS / map / symbology / geologic-model work — not leftover GISP as a card. Confirm 0971764751. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-18 1:30 AM PT. Source page: forest-ranger.

Next steps for a Petroleum Geologist

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Petroleum Geologist work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Geoscientists, Except Hydrologists and Geographers (SOC 19-2042). O*NET Job Zone 5 is typical: graduate or professional school, so the honest next credential is a graduate-level or professional certificate — not a random catalog dump.

The occupation's listed knowledge areas include Geography and Chemistry; the links search those subjects, not a generic 'career courses' list.

Petroleum Geologists in this dataset list Autodesk AutoCAD among the tools in use, so a program that names that stack is a better fit than a survey course.

Geology programs on Coursera for Petroleum Geologist work

Coursera search for geology — a graduate-level or professional certificate that lines up with science, not a generic professional-development aisle.

Geology courses on edX

edX search for geology, aimed at science (SOC 19-2042). Same field as the Coursera link, different university catalog.

Screened remote and flexible Petroleum Geologist listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Petroleum Geologist work, not a claim that they list a counted SOC 19-2042 inventory.

Build a Petroleum Geologist resume on Resume Now

Write a Petroleum Geologist resume, or one aimed at Data Scientists, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.

Build a Petroleum Geologist resume on Zety

A Petroleum Geologist resume that names the actual tasks on this page, or the step-up title Data Scientists, beats a blank template when you apply.

What Petroleum Geologists earn by state

These are the Bureau of Labor Statistics’ own figures for Geoscientists, Except Hydrologists and Geographers, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

Texas
$145,220
highest of them · +42% vs the national median
Pennsylvania
$84,180
lowest of the 11 states that qualify · -17% vs the national median
The same job pays $61,040 more a year at the median in Texas than in Pennsylvania — 73% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. Texas also carries the top of this job’s range, $287,180 — the figure quoted at the head of this page.
Texas$145,220Oklahoma$119,990Colorado$114,410California$106,500Washington$105,020Nevada$99,890North Carolina$95,260Florida$95,140

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 19-2042. 11 states clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace petroleum geologists?
No — the subsurface is non-unique and AI can't own the risk on a multimillion-dollar well. It accelerates interpretation and correlation, but a geologist must integrate it with the depositional model, well control, and physics, and stake their name on the prospect. Geologists who master ML interpretation evaluate far more and get their wells drilled; those who don't fall behind.
Can I trust ML seismic or log predictions?
As hypotheses tied to well control. Auto-tracked horizons, predicted facies, and synthetic logs fail on artifacts and data leakage. Validate on held-out wells and core, quantify uncertainty, and make sure every result is geologically sound before it drives a drill decision.
Do I need to code?
Basic Python is a strong edge for petrophysics, correlation, and automating reports — and AI writes most of it now. You supply the geology and the QC. It's worth the small investment.
Is it safe to use ChatGPT with my data?
Not with proprietary seismic, well, or lease data — that's confidential and often licensed. Use consumer AI for public concepts, screening from public data, and code; keep confidential subsurface data in company or enterprise, non-training systems.
How does AI raise my pay?
By raising interpretation throughput and quality, sharpening prospect and pay calls, and making you the asset team's geoscience-data lead. More and better-evaluated prospects, fewer dry holes, and visible technical leadership are what push comp toward the top of the band.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources