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SOC 17-2171
Petroleum engineers (O*NET 17-2171.00) analyze reservoir, wellbore, and production data, design or improve drilling, completion, and recovery plans, monitor output and equipment performance, give technical advice with stated boundaries, and record results. On-site operations, equipment changes, and safety decisions must be reviewed by authorized teams under applicable standards.
Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((75+50+75)/3+0.5)=67; fermatmind-ai-impact-v1; 2026-10-18.
Next, verify whether the target role is reservoir, drilling, completion, or production engineering, and the required engineering degree, field training, regional licence, and employer authorization; first complete the fictional data verification, and do not use the practice plan for real operations.
The United States 17-2171 independent 2025 annual median is 144,910 dollars; 2025—2035 growth is 2.0%, a net gain of 0.4 thousand, 1.0 thousand annual openings including growth and replacement separations, and 1.7% self-employed. In China, real mining or research and development technical main business with urban legal persons of 5 or more may conditionally reference the corresponding broad-industry pre-tax annual average, while this occupation's precise percentiles and complete quotes are still missing.
Suits people willing to verify data quality, analyze engineering trade-offs, understand geological and equipment limits, and proactively pause advice when safety conditions are unclear. Those who look only at pay or will not verify raw data should first do small-sample practice.
The O*NET United States occupational classification is not the same as Chinese engineering qualifications or signing authority; the specific jurisdiction and employer responsibilities are verified separately.
Petroleum engineers design and improve recovery or operating methods based on reservoir, wellbore, well test, and production data, supervise drilling-related activities, and provide technical advice to the team.
O*NET lists well modification plans, production monitoring, well testing and completion, well location analysis, cost and economic assessment, drilling and production records, and technical reports; the division of work is determined by the project.
Career direction comparison
Adjacent engineering occupations may share mathematics, modeling, and safety methods, but they have different field objects, equipment, verification, and signing responsibility. Verify employer duties and jurisdictional requirements before transferring.
| Career direction | Core work and output | Key differences | Best-fit choice |
|---|---|---|---|
| Chemical engineering focuses on chemical processes and industrial equipment; oil and gas processing can be collaborative, but training and design standards differ. | Petroleum engineering and geological engineering collaborate on reservoir interpretation, but well design and field operation authorization are verified separately. | Geological and mining engineering focuses on geological conditions and mine or subsurface resource safety; petroleum engineering focuses on oil and gas wells and recovery systems. | If you like subsurface structures and resource evaluation, verify the geology direction; you need to add geological survey and mine responsibility. |
AI impact on this career
Insufficient evidence: no verified actual generative AI adoption, overall substitution rate, or disappearance year for this occupation; well data organization, scenario calculation, and report drafts are only approved editorial trials and cannot replace raw well tests, instruments, formations, equipment, well control and environmental conditions, and authorized review. AI Impact Score 67% is an editorial estimate. Model impact index for three equally weighted representative core tasks; not a measured share of working time or a job-loss probability. floor((75+50+75)/3+0.5)=67; fermatmind-ai-impact-v1; 2026-10-18.The three tasks, ratings and sources are listed in the FermatMind method source record on this page.
FermatMind AI Impact Score estimation method v1
FermatMind / 费马测试 · 2026-10-18
Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
Chinese mainland salary reference
Insufficient evidence: the National Bureau of Statistics 2025 does not list a strictly 17-2171 corresponding entry for this occupation; the two category averages and partial recruitment do not fill in this occupation's percentiles, cities, or complete contract.
First verify the real oil and gas extraction or mining support, or independent research, exploration, and design main business and the urban legal-person scope; Chinese occupational qualifications and United States codes are not automatically mutually recognized.
Non-private 143,361 / private 79,169 yuan/year, pre-tax annual average covering many occupations; a conditional reference for real 07/1120 main business urban legal persons of 5 or more.
Scientific research and technical services non-private 182,064 / private 83,560 yuan/year; a conditional reference for real related main business urban legal persons of 5 or more, not this occupation's percentile.
United States wage reference
United States 17-2171 independent 2025 annual percentiles 81,440/106,270/144,910/197,920/253,200 dollars; employment 18.5 to 18.8 thousand, official net 0.4 thousand, 2.0%, 1.0 thousand annual openings including replacements, and 1.7% self-employed. Wages exclude the self-employed and others while employment includes them, and each column rounds independently; none of this is an AI effect, individual unemployment, or Chinese demand.
| Wage statistical position | Annual wage reference | Conversion boundaries | How to understand this position |
|---|---|---|---|
| Lowest 10% | 81,440 dollars/year (10th percentile) | Official annual wage, not personal monthly income | 10th percentile 81,440 dollars, not called an entry-level wage. |
| Median (50%) | 144,910 dollars/year | Official annual wage, not personal take-home pay |
Occupational fit guide
Fit signals are willingness to examine well data, modeling assumptions, equipment, and safety limits closely, and to compare predictions with actual results; personality questionnaires cannot prove engineering ability.
You may be better suited to： Willing to verify well tests, production curves, and model premises.
These situations need caution： If you tend to ignore anomalous data or safety boundaries, practice review and escalation first.
Do one entry-level exercise： Use the fictional A1—A5 data to write a technical memo, without giving field instructions.
Work pressure, risk, and occupational boundaries
The six key risks are distorted well data, misjudged formation models, pressure and well control, equipment failure, environmental impact, and unauthorized changes; pause the related advice and escalate when conditions are unclear.
O*NET supports the tasks and BLS supports the occupational data; the specific risk ranking and paper cases are editorial synthesis.
Typical scenario：A pressure sensor is uncalibrated while the curve changes suddenly.
Roles most affected：Engineers, field crews
Possible consequence：Wrong input may lead to a wrong well condition judgment.
How to reduce risk：Verify equipment status and raw data, and flag unusable conclusions.
Entry, eligibility, and career development
Learn geology, fluids, and engineering fundamentals first, verify well test, production, and equipment data in supervised projects, and write traceable assumptions and safety boundaries.
Occupational outlook and related career moves
In the United States, the independent occupation 17-2171 runs from 18.5 thousand jobs in 2025 to 18.8 thousand in 2035, an official net gain of 0.4 thousand, 2.0% growth, 1.0 thousand annual openings including growth and replacement separations, and 1.7% self-employed; employment and the OEWS wage population differ, each column rounds independently, and none of this is AI's effect on individual unemployment or Chinese demand.
United States · United States 17-2171 independent occupation
18.5 thousand (2025) → 18.8 thousand (2035)
Employment scale for this occupation
2025 employment 18.5 thousand, 2035 employment 18.8 thousand; net gain 0.4 thousand.
Does not establish：Each column rounds independently, and the endpoint difference of 0.3 thousand does not override the official net gain of 0.4 thousand; the OOH integer growth is 2%, which is not AI's effect.
Analyze reservoir and well test data, design or improve drilling, completion, and recovery plans, monitor production and equipment, hand to the team for review, and write technical reports.
Geological engineers focus on formations and resource conditions, while petroleum engineers focus on oil and gas well design, production, and recovery; joint projects still require clear signing and field responsibility.
Use the fictional A1—A5 to verify production, pressure versions, sensor calibration, the old model, and pump anomalies, and try writing a multi-cause analysis and stop-and-handover.
Choose a real task from this page for a small practice project or a conversation with someone in the field. Use the planning guides to set a date, an output and feedback questions before deciding whether to continue.
Petroleum engineers analyze formation, wellbore, and production data, propose drilling, completion, recovery, or equipment improvement plans, work with geology, field, and safety staff, monitor results, and record technical limits. A specific role may lean toward reservoir, drilling, completion, or production engineering.
Do a completely fictional paper technical memo: compare the production changes, pressure readings, sensor calibration, construction constraints, and environmental conditions in A1—A5, and list the data gaps, the conclusions that cannot be drawn directly, and who to escalate to. Do not operate a real well or equipment.
Do not give on-site operating instructions when well control, pressure, equipment status, environmental conditions, or data credibility are unclear; record the doubts and hand them to the authorized engineering and safety team.
Petroleum engineers handle oil and gas well design and production technology, geological engineers interpret subsurface structures, and field operations roles execute approved steps; responsibilities cannot be interchanged by title.
| Dimension | Primary track | Comparison track |
|---|---|---|
| Core purpose | Petroleum engineering: reservoirs, wellbores, drilling and production, and production systems. | Geological engineering: subsurface rock layers, structures, and resource conditions. |
| Main objects and basis | Petroleum engineering: well testing, pressure, production, equipment, and plan verification. | Geological engineering: geological surveys, formation interpretation, and resource models. |
| Core process | Petroleum engineering: data quality—model—technical plan—safety review—monitoring. | Geological engineering: survey—formation modeling—geological interpretation. |
| Main outputs | Petroleum engineering: well plans, production, and technical risk review. | Geological engineering: geological reports, resource assessment, and uncertainty. |
| Responsible party | Petroleum engineering: field execution must go through project authorization and safety procedures. | Geological engineering: no automatic well control or production design authorization. |
| Authority and approval | Petroleum engineering: verify the engineering degree, project experience, and local licence requirements. | Adjacent engineering: verify project responsibilities, equipment, and signing authority separately. |
| Conclusion boundaries | Compare reservoir, drilling, completion, production, and safety responsibilities. | Data modeling and safety records are transferable, but they do not automatically grant design or field authorization in another specialty. |
Note the source, time point, and gaps.
State the assumptions and applicable boundaries.
Show sensitivity and uncertainty.
Do not substitute for authorized approval.
Return anomalies to the raw data and on-site verification.
Hand facts and open items to authorized personnel.
Verify whether the role leans toward reservoir, drilling, completion, production, or field technical support.
Reservoir: are the reservoir, pressure, and recovery assumptions verifiable.
Plan: do the design specifications, equipment capacity, and site conditions match.
Economics: how are cost, production, and uncertainty expressed.
Environment: how are emissions, waste, and site restoration verified.
Records: can the model version, raw data, and actual results be traced.
| Subsurface investigation and resource evaluation, with well engineering responsibility verified separately. | Geological and mining engineers | Petroleum engineers also use fluid and process knowledge, but a process equipment qualification cannot be treated as well control authorization. | Those who like process design can compare the chemical engineering direction. |
|---|
| Environmental engineers | Verify whether the project requires specific environmental permits and monitoring responsibility. | Chemical engineers focus on processes and facilities and are not automatically responsible for oil and gas wells. | Environmental engineering focuses on emissions, waste, and environmental control. |
|---|
| Verify equipment design, testing, and field maintenance authority. | Oil and gas wells depend on mechanical equipment, but wellbore and reservoir plans are different professional judgments. | Emission control and environmental monitoring, with different well design duties. | Mechanical engineers lean toward equipment design, materials, and structural verification. |
|---|
| The drilling and completion and production direction focuses on well construction, testing, equipment, and operating anomalies. | Reservoir engineering is an internal petroleum engineering direction, and a model cannot independently decide field operations. | Reservoir engineering focuses on reservoir models, pressure, and recovery plans. | Those who like data modeling and are willing to track forecast error can compare the reservoir direction. |
|---|
| Drilling and completion direction: wellbore, equipment, and safety boundaries. | Reservoir direction: models, production, and uncertainty. | Compare the field pace, safety training, and technical responsibility. | Those who like field problems and equipment collaboration can compare the drilling and completion direction. |
|---|
Petroleum engineers, geological engineers, and mining engineers all deal with subsurface resources, but petroleum engineers focus on oil and gas well design, production, and recovery; the specific project division of work is verified separately.
Both internal directions require cross-team review and verification with actual data.
Approved trial of well material archiving, version comparison, scenario summaries, and technical report drafts; the engineering team verifies raw data and actual constraints, and effects require verification.
Insufficient evidence: no verified actual generative AI adoption, overall substitution rate, or disappearance year for this occupation; well data organization, scenario calculation, and report drafts are only approved editorial trials and cannot replace raw well tests, instruments, formations, equipment, well control and environmental conditions, and authorized review.
Insufficient evidence: no verified overall net job change in this occupation caused by generative AI; task potential, actual adoption, productivity, and overall employment projections are different objects.
| Work area | Task | Current change | Human control point |
|---|---|---|---|
| Well data verification | Compare pressure, well test, and production sources | Editorial trial: AI can archive and find anomalies | Engineers verify instrument status and raw data. |
| Reservoir modeling | Compare reservoir and recovery scenarios | Editorial trial: AI can assist simulation | Engineers verify formation assumptions and forecast error. |
| Drilling and completion plans | Compare wellbore and equipment constraints | Editorial trial: AI can organize design candidates | Authorized personnel verify well control and field conditions. |
| Production optimization | Monitor production and downtime causes | Editorial trial: AI can prompt trends | People verify equipment and field events. |
| Economic assessment | Compare cost and capacity scenarios | Editorial trial: AI can calculate sensitivity | The team verifies price and recovery assumptions. |
| Technical reports | Record data, assumptions, and decisions | Editorial trial: AI can draft summaries | Engineers verify versions and conclusion limits. |
| Data security | Process project well locations and commercial data | Editorial trial: AI inputs may be shared externally | The organization verifies access and confidentiality scope. |
The cross-occupation studies below measure task potential, employer expectations, or risk governance respectively, and none can provide this occupation's overall substitution rate, actual adoption, or individual unemployment probability.
Data documentation and scenario calculation are candidates for approved trials, and efficiency gains are not yet measured; field measurement, formation interpretation, equipment limits, and authorization responsibility are still verified by the team.
AI primarily changesCan organize well test and production data
Human responsibility remainsPeople verify instruments, well conditions, and raw records.
AI primarily changesCan calculate multiple reservoir scenarios
Human responsibility remainsPeople verify assumptions, well control, and economics.
AI primarily changesCan draft technical reports
Human responsibility remainsPeople are responsible for authorization, field safety, and result tracking.
Tools cannot independently approve well design, construction changes, or safety-related operations; engineers must verify model inputs, applicable conditions, and actual results.
First confirm the well project scope, material use, data that can be entered into tools, and the receiving team; commercial well data confidentiality and personal information are verified separately.
Practical response: first put tools into low-risk steps that are reversible and auditable, then decide whether to expand use based on error records.
The engineering team rechecks well test time points, pressure and production units, instrument calibration, formation and equipment, and model assumptions; pause use of that conclusion when they disagree.
Retain the original data sources, model input assumptions, tool version outputs, modifications, and reviewers, so open items and escalation recipients are traceable.
Well design, equipment and construction changes, and external technical signing are reviewed by the corresponding authorized personnel under project policy; tools do not carry these responsibilities.
A fluent report may omit old well tests, instrument calibration, or model assumptions and be mistaken for verified well condition facts.
Control: Before sending a report, recheck the original records, mark it as a draft with the reviewer, and retain unverified instrument, formation, equipment, and safety limits.
Sharing well location, production, commercial model, or personnel data externally may exceed project confidentiality and personal information permissions.
Control: Verify the organization's approved input scope, minimum necessary data, access retention, and external sending permission, and do not upload real well data yourself.
Missing model versions for inputs and outputs make it hard to review the same engineering conclusion or locate errors.
Control: Save the source time points, input assumptions, and tool and model versions, re-verify differences by hand, and do not treat generated results as an approved change.
Mismatched production units, time windows, prices, costs, or pressure versions distort sensitivity and engineering judgment.
Control: Verify units, statistical periods, original well tests, price assumptions, and calibration versions one by one, and do not merge conflicts into a certain result.
Tool outputs carry no statutory signature or field command responsibility, and unreviewed changes may create risk.
Control: Define the engineering, field, and environmental supervisor review and final authorization; without approval and verified safety conditions, stop the advice first and escalate.
First verify mathematics, geology, fluids, and well test data quality, and use fictional well X to list calibration, model, and equipment gaps, without substituting tool fluency for engineering ability.
May trial approved material archiving, version comparison, and report drafts, rechecking instruments, formations, equipment, well control, and the environment, and recording errors and unverified effects.
Verify data permission, model versions, human acceptance, and field approval duties; well design and equipment changes must not be released automatically, and overall growth must not be used to infer AI effects.
Clarify that the research measures task potential or employer expectations only, verify project confidentiality and input permission before trialing, and verify effects in practice.
Insufficient evidence: no verified actual generative AI adoption, overall substitution rate, or disappearance year for this occupation; well data organization, scenario calculation, and report drafts are only approved editorial trials and cannot replace raw well tests, instruments, formations, equipment, well control and environmental conditions, and authorized review.
Source: ILO task exposure method and this occupation's task boundariesOriginal source ↗
The BLS typical entry is an engineering bachelor's degree; specific software or programming requirements are verified by role, and data quality, formation and equipment, and engineering safety review come first, as tool fluency does not grant design authority.
Source: NIST reliable input and human review (not an education requirement)Original source ↗
Well material organization, version comparison, scenario summaries, and report drafts can be listed as editorial trial candidates; insufficient evidence: this occupation's adoption rate and reliable time savings, forecast error, safety, environmental, production, and pay effects are not verified.
Source: GPTs are GPTs: task potential does not measure actual adoption in this occupationOriginal source ↗
The overall projection of 18.5 to 18.8 thousand, the official net 0.4 thousand, 2.0%, and the 1.0 thousand annual openings including replacements are not AI's effect, individual unemployment, or Chinese job demand.
Source: BLS17-2171 overall projections, not AI causationOriginal source ↗
No. Tools may support approved analysis and drafts, while well design, well control, equipment, and construction changes must be approved by the authorized engineering, field, and safety team under project policy.
Source: NIST risk and responsibility governance (not field authorization)Original source ↗
Insufficient evidence: no verified reliable disappearance year for this occupation; GPT task potential does not predict adoption timing, and BLS2035 overall projections are not an AI substitution timeline.
Source: GPTs are GPTs: adoption timing is not predictedOriginal source ↗
Editorial advice: learn well testing and data quality, formation and fluid engineering fundamentals, model assumptions, and safety and environmental review first, then practice tools on approved materials; this is not a measured ranking of ability value.
Source: NIST: reliable input, records, and responsibility governanceOriginal source ↗
Adoption conditions: first test archiving, version comparison, and report drafts with fictional or approved well materials, record errors and review results, and then let the organization decide the scope of use; a demonstration does not prove the organization has adopted it.
Insufficient evidence: this occupation's national percentiles, comparable cities, and a complete current quote covering specific direction, education, shift, and pay are still missing.
Insufficient evidence: no current quote covering strictly this occupation's city percentiles, direction, shift, and pay was obtained; the two partial recruitment materials obtained are not a national distribution.
| Preparation and capability levels | Common role directions | Notes and verification advice |
|---|---|---|
| Engineering degree preparation | Mathematics, fluids, geology, and engineering fundamentals | The United States EP typical requirement is a bachelor's degree with no uniform related experience or on-the-job training item, which does not represent all Chinese roles; employer course training is verified separately. |
| Supervised data collaboration | Well test versions, instruments, and anomaly records | Show the fictional A1—A5 multi-factor analysis, items to be verified, and the Lin Lan handover; the work does not grant well control or field design authority. |
| Reservoir, drilling and completion, and production directions | Reservoir or wellbore equipment plans | Direction duties are verified by the specific project, and education or years are not directly interpreted as individual wages or signing authority. |
| Cross-team technical coordination | Safety, environmental, and quality review | Management appointment and jurisdictional licences are verified separately, and degrees, certificates, and courses do not automatically authorize; some public postings require retention. |
The following is capability observation and United States typical preparation background, not a unified Chinese education, wage, or promotion table.
Only real 07/1120 main business uses the mining multi-occupation average, where the employed legal-person scope matches, not merely a client well site.
Real main business such as 7320/7471/7484 separately references the scientific research and technical services conditional average, and not all oilfield services are uniformly assigned to that category.
Refining and equipment manufacturing, universities, or corporate in-house units are verified by the real employer main business; the same Chinese engineer title does not guarantee the mining wage basis.
Insufficient evidence: no verified reliable causal quantification of generative AI adoption's effect on Chinese wages for this occupation; well data and report organization are only approved editorial trials.
| Median 144,910 dollars, the midpoint of the wage distribution. |
| Highest 10% | 253,200 dollars/year (90th percentile) | Official annual wage, not personal take-home pay | 90th percentile 253,200 dollars, not a personal income ceiling. |
|---|
Pay · 10th percentile：81,440 dollars/year (10th percentile)；2025 United States national salaried annual pay 81,440 dollars, hourly 39.16 dollars, 10th percentile, not a new-hire, seniority, after-tax, or personal contract figure, OEWS excludes self-employed agriculture and private households, uses the Texas page United States line；O*NET national wage line
Pay · 25th percentile：106,270 dollars/year；2025 United States national salaried annual pay 106,270 dollars, hourly 51.09 dollars, 25th percentile, not a new-hire, seniority, after-tax, or personal contract figure, OEWS excludes self-employed agriculture and private households, uses the Texas page United States line；O*NET national wage line
Pay · median：144,910 dollars/year；2025 United States national salaried annual pay 144,910 dollars, hourly 69.67 dollars, 50th percentile, not a new-hire, seniority, after-tax, or personal contract figure, OEWS excludes self-employed agriculture and private households, uses the Texas page United States line；O*NET national wage line
Pay · 75th percentile：197,920 dollars/year；2025 United States national salaried annual pay 197,920 dollars, hourly 95.16 dollars, 75th percentile, not a new-hire, seniority, after-tax, or personal contract figure, OEWS excludes self-employed agriculture and private households, uses the Texas page United States line；O*NET national wage line
Pay · 90th percentile：253,200 dollars/year (90th percentile)；2025 United States national salaried annual pay 253,200 dollars, hourly 121.73 dollars, 90th percentile, not a new-hire, seniority, after-tax, or personal contract figure, OEWS excludes self-employed agriculture and private households, uses the Texas page United States line；O*NET national wage line
No. 144,910 dollars is this occupation's 2025 annual median, not a new-hire starting wage.
OEWS salaried national wages, excluding self-employed agriculture and private households; EP employment includes 1.7% self-employed and cannot be used as a wage sample. Statistical hourly and annual pay are not an individual's take-home pay, and shift and contract terms are verified separately.
O*NET Texas Wages takes the United States national 2025 percentiles; the OOH and EP are the independent 17-2171, and the ON profile's old 2024 employment projection is not mixed into 2025.
Data limits: O*NET 17-2171.00 and BLS 17-2171 refer to United States petroleum engineers; the May 2025 wage percentiles describe the pre-tax annual pay distribution of workers in this occupation, and the 2025—2035 employment projection is listed separately. Region, industry, experience, and employer differences are significant, and a percentile is not a new-hire starting wage, Chinese pay, or an individual contract.
| Industry | Annual wage median / statistical status | How to understand this value |
|---|---|---|
| Oil and gas extraction | 180,080 dollars/year (2025 industry median) | This occupation's OEWS salaried annual median in that industry, excluding the self-employed and others; region, duties, experience, and contract differences are verified separately. |
| Mining support activities | 126,600 dollars/year (2025 industry median) | This occupation's OEWS salaried annual median in that industry, excluding the self-employed and others; region, duties, experience, and contract differences are verified separately. |
| Petroleum and coal products manufacturing | 165,210 dollars/year (2025 industry median) | This occupation's OEWS salaried annual median in that industry, excluding the self-employed and others; region, duties, experience, and contract differences are verified separately. |
| Engineering services | 96,040 dollars/year (2025 industry median) | This occupation's OEWS salaried annual median in that industry, excluding the self-employed and others; region, duties, experience, and contract differences are verified separately. |
Wage statistical period: O*NET 17-2171.00 and BLS 17-2171 refer to United States petroleum engineers; the May 2025 wage percentiles describe the pre-tax annual pay distribution of workers in this occupation, and the 2025—2035 employment projection is listed separately. Region, industry, experience, and employer differences are significant, and a percentile is not a new-hire starting wage, Chinese pay, or an individual contract.
Wage coverage population: O*NET 17-2171.00 and BLS 17-2171 refer to United States petroleum engineers; the May 2025 wage percentiles describe the pre-tax annual pay distribution of workers in this occupation, and the 2025—2035 employment projection is listed separately. Region, industry, experience, and employer differences are significant, and a percentile is not a new-hire starting wage, Chinese pay, or an individual contract.
The OOH also lists a management of companies industry median for this occupation of 171,710 dollars/year (2025); all five industries are salaried industry backgrounds for this occupation and do not equal this occupation's overall median of 144,910 or an individual quote.
2025 independent employment 18.5 thousand and 1.7% self-employed； employment includes the self-employed while the wage population differs；BLS projections table
2035 employment 18.8 thousand, official net gain 0.4 thousand, growth 2.0%, each column rounding independently, OOH integer 2%, not an AI effect, individual unemployment, or Chinese demand；BLS projections table
1.0 thousand annual openings include growth and replacements due to separations and are a ten-year average, not the net gain of 0.4 thousand or current hiring；BLS projections table
O*NET occupational interest baseline
RIC: practical, investigative, and conventional interests, not an engineering qualification or a safety guarantee.Interest assessments cannot replace an engineering degree, training, and project authorization.
Official interest summary RIC, detailed R73/I72/C55/E34/A15/S13; an occupational group description, not personal ability or performance, an engineering degree or licence, or a field safety guarantee.
Which Holland type is closer to petroleum engineers?
Official interest summary RIC, detailed R73/I72/C55/E34/A15/S13; an occupational group description, not personal ability or performance, an engineering degree or licence, or a field safety guarantee.
Do not use it this way: Interest in practice or research still requires verified mathematics, formation, and project safety ability; interest is not a design or field qualification.
Test my Holland occupational interestsWhich Big Five traits are more relevant to this job?
Caution, reliability, and willingness to learn can serve as observation clues, to see whether data versions can be verified and model corrections from field evidence accepted.
Do not use it this way: Interest assessments cannot replace an engineering degree, training, and project authorization.
See my Big Five personality traitsCan MBTI tell me whether I fit petroleum engineering work?
Cannot be judged by MBTI alone. Observe preferences through actual data verification, model review, and collaboration feedback; a type does not prove ability.
Do not use it this way: Use the fictional well X case to observe whether you can preserve uncertainty and hand over.
Understand my MBTI preferencesCan the Enneagram tell me whether I fit this occupation?
The Enneagram can suggest habits under pressure; it cannot judge whether a person has engineering qualifications and safety judgment ability.
Do not use it this way: Do not omit items still to be verified on well control, equipment, or the environment in pursuit of a fast conclusion.
Explore my Enneagram patternsCan I be a petroleum engineer if I am bad at math?
This occupation requires mathematics and data analysis foundations, which can be built through courses and supervised projects; IQ scores cannot replace engineering study and actual evidence.
Do not use it this way: A paper reasoning score does not prove the ability to perform engineering design or field operations independently.
Understand my intelligence and reasoning performanceDo petroleum engineers need high emotional intelligence?
Requires explaining assumptions and unresolved risks to geology, equipment, field, and management teams; no specific EQ score is required.
Do not use it this way: Expressing confidence cannot replace raw data, safety review, and authorization.
Understand my emotional intelligenceFits better when: Likes data modeling, production forecasting, and verification.
Watch for: Forecasts must be compared with well tests and field results.
Explore related career: Petroleum engineers (reservoir direction)Fits better when: Likes well design, construction collaboration, and the field pace.
Watch for: Well control and equipment safety must follow project authorization.
Explore related career: Petroleum engineers (drilling direction)Fits better when: Likes well testing, equipment, and wellbore plans.
Watch for: Plans must verify formation, pressure, and construction boundaries.
Explore related career: Petroleum engineers (completion direction)Fits better when: Likes production monitoring and operating anomaly analysis.
Watch for: Field execution and shutdown decisions are verified separately.
Explore related career: Petroleum engineers (production direction)Fits better when: Likes formation surveys and subsurface structure interpretation.
Watch for: Geological professional training is verified separately.
Explore related career: Geological and mining engineersFits better when: Likes emissions, waste, and environmental control.
Watch for: Environmental permits and monitoring duties differ.
Explore related career: Environmental engineersMore important is willingness to verify data, tolerate uncertainty, explain across teams, and hold the safety boundary; do not screen people by a single personality type.
Yes. Independent analysis helps, and you must also be able to explain conclusions and limits to non-technical and field teams.
Yes. Proactive collaboration helps, but expression or speed cannot mask data and safety gaps.
There is no single MBTI type validated by this page's evidence; look at coursework, projects, and collaboration performance.
Official interest summary RIC, detailed R73/I72/C55/E34/A15/S13; an occupational group description, not personal ability or performance, an engineering degree or licence, or a field safety guarantee.
This page obtained no validation that personality scores predict performance in this occupation; judge by project quality, review comments, and actual feedback.
Engineering mathematics, fluids, and data foundations must be added; supervised practice can show learning progress, but the mathematics requirement cannot be bypassed.
Requires explaining conflicting data, plan limits, and risk; EQ scores cannot prove engineering ability or grant signing authority.
Do not rely on the Enneagram alone. It can be used to reflect on stress responses, then verify real tasks, training, and project feedback.
Use the fictional well X case to observe whether you can preserve uncertainty and hand over.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
Typical scenario：A reservoir model gives a single production forecast without well test constraints.
Roles most affected：Project team and decision makers
Possible consequence：An overconfident plan may cause investment and operating losses.
How to reduce risk：List multiple scenarios and verification needs, and hand them to the reservoir team for review.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
Typical scenario：The wellbore pressure boundary or well control conditions are not verified.
Roles most affected：Field personnel and the environment
Possible consequence：May endanger people, equipment, and the environment.
How to reduce risk：Stop the related advice and hand it to authorized well control and safety personnel.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
Typical scenario：Equipment performance data conflict with maintenance records.
Roles most affected：Operations personnel and the equipment team
Possible consequence：Equipment failure may affect production and safety.
How to reduce risk：Check the maintenance history and test results, and do not let the model override field observations.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
Typical scenario：Waste or emission constraints were not included in the design comparison.
Roles most affected：Surrounding environment and community
Possible consequence：The plan may increase environmental damage or compliance risk.
How to reduce risk：Hand it to the environmental and field teams to verify applicable standards.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
Typical scenario：The change order lacks approval, version, and retest results.
Roles most affected：Engineering team and subsequent shifts
Possible consequence：Responsibility or actual effect cannot be traced.
How to reduce risk：Add versions, reviewers, and a monitoring plan.
Evidence：O*NET petroleum engineers · BLS petroleum engineers occupational outlook
| Entry-level roles | What you mainly do early on | What employers usually look at | How to prove yourself without experience | How it differs from other directions |
|---|---|---|---|---|
| Engineering learner | Learn geology, fluids, mathematics, data, and safety. | Can distinguish raw data from model assumptions. | Fictional A1—A5 memo. | Learning does not create field authorization. |
| Supervised data analysis | Verify well test, production, and equipment records under supervision. | Can record versions, errors, and items to be confirmed. | A redacted or fictional data verification table. | Project data permission is verified separately. |
| Petroleum engineers | Design plans and monitor results under project duties. | Can review well conditions and safety constraints across teams. | An authorized technical report. | Signing and field responsibility follow policy. |
| Reservoir or drilling and completion direction | Refine reservoir models, well design, or completion testing. | Professional training and verification in actual projects. | Model assumptions and verification records. | Not an automatic promotion from a job title. |
| Technical coordination direction | Coordinate geology, equipment, field, and safety review. | Can handle conflicting data and change escalation. | Quality review and handover records. | Management appointment is verified separately. |
BLS lists an engineering bachelor's degree as the typical entry-level education; the specific reservoir, drilling and completion, and production direction is verified by the employer against specialized coursework and project experience.
Verify: map the job requirements to geology, fluids, mathematics, data, and safety abilities.
Using the fictional A1—A5 to write data verification, alternative assumptions, and stop-and-handover is more verifiable than writing vaguely that one understands petroleum engineering.
Verify: state clearly that the material is fictional, the model assumptions, and the absence of field authorization.
O*NET can be used to check whether a role includes well testing, production monitoring, well plans, and technical reports, without treating every task as required in every role.
Verify: compare item by item against the real role's goals and team division of work.
Use a handover sheet with data versions, well control doubts, and environmental limits to show review habits.
Verify: the recipient can identify open items and does not treat the exercise as real work.
You are a supervised engineering intern at the fictional "Qinghe Energy" and write paper technical memos only, without touching a real well or equipment. A1: well X reported production falling from 100 units per day to 80 units over the last three days, with the units set by the exercise.
A2: during the same period there are two versions of the pressure record; the last calibration date of sensor C is unknown, and the field crew has not yet confirmed the wellhead status.
A3: the first-draft model calls it "reservoir decline" but uses only old well test data; another well, Y, in the same area shows no similar drop.
A4: the equipment log suggests intermittent pump anomalies, and the environmental team has not confirmed the nearby emission monitoring results; the manager wants a production increase recommendation the same day.
A5: the fictional organizational rule requires no field operating instructions when data, instruments, well control, equipment, and environmental boundaries are unverified, and requires handing the doubts, alternative explanations, and required verification to supervisor Lin Lan.
A1 production decline does not prove the A3 reservoir decline; first verify the A2 sensor and versions, the A4 equipment log, and the field facts, and keep multiple explanations.
The A2 well condition, A4 emission monitoring, and A5 authorization are unclear, so no pump adjustment or well parameter change can be recommended; write down the data sources, gaps, recipients, and verification order.
The work includes the A1—A5 evidence table, conflicting assumptions, risks, and the stop-and-handover; it contains no well control, drilling, or equipment operating parameters.
List the A1 production change, the A2 pressure versions, and the sensor calibration gaps.
Review: the production decline is not proof of a single cause.
Compare the A3 old model, well Y, and the A4 pump anomaly.
Review: reservoir and equipment explanations must be verified separately.
List the A2 unverified wellhead and the A4 emission monitoring gaps.
Per A5, write the reasons for not issuing operating instructions and the Lin Lan recipient.
| Stage | What may be assessed | Observable evidence | Boundaries of use |
|---|---|---|---|
| Raw data | Can identify the pressure versions and calibration gaps | List the sources, times, and instruments still to be verified | Do not treat suspicious readings as facts |
| Multi-cause analysis | Can separate reservoir and equipment explanations | List the A3 old tests and the A4 pump anomalies | Do not assert a single cause |
| Safety and environment | Whether the wellhead and emission open items are listed | Hand to the field and environmental teams for review | Do not write operating parameters |
| Authorization handover | A5 requires stopping and the supervisor can be contacted | Write Lin Lan and the verification questions | A paper exercise is not field authorization |
Read A1—A5 and mark the well, data sources, and prohibited actions.
Verify the A1 production change, units, and time window.
Compare the A2 pressure versions and calibration gaps.
List the A3 reservoir model and the A4 equipment explanation.
Write the stop-and-handover sheet for well control, the environment, and authorization.
Seal the first draft and check omissions against the answer.
Submit four pieces of work and write the next training questions.
| Eligibility / status | Who it mainly suits | Real job-search role | Whether it is a general hiring threshold | Application / registration requirements | Investment level | Important limits |
|---|---|---|---|---|---|---|
| Engineering bachelor's degree | Those preparing to enter petroleum engineering technical roles | BLS lists the typical entry-level education as a bachelor's degree; specialized coursework is verified by role | Not a signing licence | Verify the school's coursework and the target role | Usually requires several years of full-time study | A degree does not automatically grant well control or field authorization |
| Supervised project experience | Those with an existing engineering or geology foundation | Show well testing, data verification, modeling, and reporting experience | The experience threshold is set by the employer | Verify the project scope, mentor, and actual duties | Mainly invests project time | Years of service do not equal independent signing ability |
| Reservoir and modeling training | For those leaning toward reservoir, recovery, and economic analysis | Learn data quality, simulation, and sensitivity | Coursework is not a statutory licence | Verify software versions, data, and practice | Investment follows courses and projects | Models cannot replace well tests |
| Drilling, completion, and well control training | For those leaning toward well design and construction collaboration | Understand the wellbore, pressure, equipment, and stop rules | Specific role and field requirements are verified separately | Per project safety policy and training certification | Duration and refresher training are set by the organization | Training does not automatically grant field command authority |
| Production engineering training | For those leaning toward production, equipment, and anomaly analysis | Practice production monitoring, equipment records, and handover | Role authorization is verified separately | Verify pump, wellsite, and data permission | Investment follows employer projects | Do not issue equipment operating instructions beyond authority |
| Professional licences and signing | Those carrying statutory design or external signing responsibility | Verified per local engineering licence and organizational appointment | Not the same requirement for all roles | Check the target jurisdiction and project policy | The application cycle varies by jurisdiction | Certificates, licences, appointments, and signing authority are separate |
Typical scope：Performs paper and supervised tasks only, and reports doubts.
Readiness evidence：Hand over the conflicts, risks, and the reservoir supervisor recipient.
Credential boundary：Learn reservoir engineering fundamentals; does not create independent design or field rights.
Next moves：Use the fictional A1—A5 materials to verify the data and assumptions of the reservoir model, pressure, and recovery scenarios.
Typical scope：Stop first when well control or equipment status is unclear.
Readiness evidence：Can show supervised analysis and review comments.
Credential boundary：Complete reservoir engineering mentoring, data, and safety training.
Next moves：Analyze reservoir models, pressure, and recovery scenarios under supervision, recording what is verified and what is not.
Typical scope：Do not skip field verification based on the model.
Readiness evidence：Record model versions, assumptions, reviews, and actual results.
Credential boundary：Specific design, projects, and sites follow organizational authorization.
Next moves：Propose technical plans for reservoir models, pressure, and recovery scenarios and report to the reservoir supervisor.
Typical scope：Escalate well control, environmental, and equipment risks; final approval goes to authorized personnel.
Readiness evidence：Can show quality reviews, training, and supervisor confirmation.
Credential boundary：Coordination duties are appointed by the organization, and professional training does not automatically grant new signing authority.
Next moves：Review cross-team reservoir model, pressure, and recovery scenario changes and safety closure.
Typical scope：Performs paper and supervised tasks only, and reports doubts.
Readiness evidence：Hand over the conflicts, risks, and the drilling and completion supervisor recipient.
Credential boundary：Learn drilling and completion engineering fundamentals; does not create independent design or field rights.
Next moves：Use the fictional A1—A5 materials to verify the data and assumptions of the wellbore, equipment, well control, and testing.
Typical scope：Stop first when well control or equipment status is unclear.
Readiness evidence：Can show supervised analysis and review comments.
Credential boundary：Complete drilling and completion engineering mentoring, data, and safety training.
Next moves：Analyze the wellbore, equipment, well control, and testing under supervision, recording what is verified and what is not.
Typical scope：Do not skip field verification based on the model.
Record model versions, assumptions, reviews, and actual results.
Typical scope：Performs paper and supervised tasks only, and reports doubts.
Readiness evidence：Hand over the conflicts, risks, and the production supervisor recipient.
Credential boundary：Learn production engineering fundamentals; does not create independent design or field rights.
Next moves：Use the fictional A1—A5 materials to verify the data and assumptions of production, pumps, and operating anomalies.
Typical scope：Stop first when well control or equipment status is unclear.
Readiness evidence：Can show supervised analysis and review comments.
Credential boundary：Complete production engineering mentoring, data, and safety training.
Next moves：Analyze production, pumps, and operating anomalies under supervision, recording what is verified and what is not.
Typical scope：Do not skip field verification based on the model.
Readiness evidence：Record model versions, assumptions, reviews, and actual results.
Specific design, projects, and sites follow organizational authorization.
Can verify well data and assumptions with fictional materials.
Verify well test and equipment records under supervision.
Make design recommendations within authorization and track results.
Reviews cross-team safety and quality, without replacing signing.
United States · United States 17-2171 independent occupation
2.0% growth; 1.0 thousand average annual openings (including replacements)
Employment growth and openings
The independent BLS row projects 2.0% growth; the occupational outlook page rounds it to 2%.
Does not establish：The 1.0 thousand average annual openings include growth and replacement separations and are a ten-year average, not the net gain of 0.4 thousand, current hiring, AI's effect, or individual unemployment.
Chinese mainland · Occupational scope and period require separate verification
Insufficient evidence: no verified independent employment growth and openings for this occupation in China.
China occupational projection evidence status
Insufficient evidence: no verified comparable employment projection strictly corresponding to this occupation in China; the United States 2.0% is not treated as a Chinese trend.
Does not establish：China's broad industry wages cannot serve as an employment projection for this occupation.
These are capability relationships, not automatic promotions or credential waivers.
Transfers：Subsurface data analysis is transferable.
Build next：Add geological surveys, mine safety, and resource evaluation.
View career profileTransfers：Fluid and process analysis is transferable.
Build next：Add process and chemical plant design.
View career profileTransfers：Environmental risk awareness is transferable.
Build next：Add emissions, waste, and permit monitoring.
View career profileTransfers：Equipment experience is transferable.
Build next：Add mechanical design, materials, and testing.
View career profileTransfers：Subsurface data experience is transferable.
Build next：Add formation interpretation and field surveys.
View career profileTransfers：Production system knowledge is transferable.
Build next：Add field equipment operation and shift safety.
View career profileTransfers：Well control risk awareness is transferable.
Build next：Add incident analysis and safety system design.
View career profileTransfers：System modeling is transferable.
Build next：Add building-phase energy efficiency, HVAC, lighting, air quality, or energy procurement system assessment, not energy extraction in general.
View career profileInsufficient evidence: no verified actual generative AI adoption, overall substitution rate, disappearance year, or reliable time savings, forecast, safety, environmental, production, and pay effects for this occupation. Well material simulation and reporting are only approved editorial trials, and raw instruments, formations, equipment, well control, environment, and authorization are verified by the team; the overall 2.0%, the net 0.4 thousand, and the 1.0 thousand annual openings including replacements are not AI's effect on individual unemployment or Chinese demand.
Where the real 07 oil and gas extraction or 1120 mining support main business and the urban legal-person population of 5 or more match, a conditional reference to the 2025 mining non-private 143,361 / private 79,169 yuan pre-tax annual average; independent research, exploration, and design main business separately references scientific research and technical services at 182,064 / 83,560. These cover many occupations and are not this occupation; the self-employed and freelance are excluded, and they are not averaged together or converted to monthly pay. Insufficient evidence: this occupation's percentiles, cities, and a complete quote covering direction, education, shift, and pay are still missing; the pay period in the two partial postings is not stated and cannot be read as a monthly wage.
No. 144,910 dollars is the BLS 17-2171 petroleum engineers 2025 annual median, not a new-hire starting wage or after-tax income.
BLS lists the typical entry-level education as an engineering bachelor's degree; project and field training, well control, equipment, and local licence requirements are verified separately by role.
BLS notes that entry into this occupation in the United States does not require a licence, and that experienced engineers with a PE can take on review, signing, and public service duties, with state requirements verified separately. Chinese engineering education, certificates, licences, and employer-appointed signing authority are verified separately, and a job title and a United States licence do not automatically grant mutual authorization.
Distorted well data, misjudged reservoir models, well control and pressure boundaries, equipment failure, environmental impact, and unauthorized changes.
In the United States, the independent occupation 17-2171 runs from 18.5 thousand jobs in 2025 to 18.8 thousand in 2035, an official net gain of 0.4 thousand, 2.0%, and 1.0 thousand annual openings including growth and replacement separations, with 1.7% self-employed. Each column rounds independently, OOH states integer 2%, the wage and employment populations differ, and none of this is AI's effect on individual unemployment or Chinese demand; geology, chemical, mechanical, environmental, well pump safety, and building energy efficiency directions require added training, duties, and appointment.
Compiled and edited by the FermatMind career content team; no line-by-line review by petroleum engineer practitioners was obtained.
This round verified and read the 2026-10-12 O*NET, BLS wages, industries, and projections for this occupation, and two university recruitment texts; the original 2026-09-26 fictional well X exercise and the research statistical periods are retained separately. The classification PDF text was not obtained this round; a notice's registration window does not guarantee that every role is still open.
This occupation's tasks follow ON17-2171, United States independent wages and projections, with industry medians listed separately; a conditional reference to the 2025 broad-industry pre-tax annual average is possible only where China's real 07/1120 mining or independent research and development technical main business and the urban legal-person population of 5 or more match. Insufficient evidence: this occupation's percentiles, cities, and complete current quotes are still missing, and the pay period in the two partial postings is not stated; engineering jurisdictional authorization and the boundary between personal information and commercial data are verified separately.
Limitations：Task definitions, not real Chinese employer recruitment, AI adoption or substitution, a safety operating guide, or mutual recognition of engineering qualifications.
Limitations：Wages are OEWS salaried, excluding self-employed agriculture and private households; an industry median is not an individual contract, and education and licences are United States background and not a substitute for China.
Limitations：Overall employment is not AI causation; average annual openings are not a net gain or current hiring; the ON historical 2024—2034 projection is not mixed into this table's years.
Limitations：OEWS salaried, excluding self-employed agriculture and private households; not to be treated as a Chinese quote, after-tax pay, or personal monthly income.
Limitations：A conditional reference by real 07/1120 mining or independent 7320/7471/7484 main business population; covers many occupations and is not this occupation, the two categories are not averaged together; this occupation's percentiles, cities, and complete quotes are still missing.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Chinese personal information requires a lawful basis, necessity, and minimum scope; commercial well location and model data cannot all be treated as personal information, and confidential data authorization is verified separately.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Cross-occupation potential task exposure, not this occupation's adoption, substitution, individual unemployment, or actual effects.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：2024 cross-scenario voluntary risk management, not a petroleum engineering licence, accident rate, or adoption effect in this occupation.
Limitations：A United States language task potential method that does not predict adoption timing and cannot be converted into this occupation's unemployment rate or well control ability.
Limitations：2025—2030 subjective employer expectations, not measured job or wage changes in this occupation.
Limitations：Task definitions, not real Chinese employer recruitment, AI adoption or substitution, a safety operating guide, or mutual recognition of engineering qualifications.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：A conditional reference by real 07/1120 mining or independent 7320/7471/7484 main business population; covers many occupations and is not this occupation, the two categories are not averaged together; this occupation's percentiles, cities, and complete quotes are still missing.
Limitations：Overall employment is not AI causation; average annual openings are not a net gain or current hiring; the ON historical 2024—2034 projection is not mixed into this table's years.
Limitations：OEWS salaried, excluding self-employed agriculture and private households; not to be treated as a Chinese quote, after-tax pay, or personal monthly income.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：Supports only petroleum engineer tasks, United States occupational statistics, or the stated background, and does not represent Chinese wages, engineering licences, or individual employment outcomes.
Limitations：OEWS salaried, excluding self-employed agriculture and private households; not to be treated as a Chinese quote, after-tax pay, or personal monthly income.
Limitations：Task definitions, not real Chinese employer recruitment, AI adoption or substitution, a safety operating guide, or mutual recognition of engineering qualifications.
Limitations：Classification is based on the employer's main business, not single-occupation wages or engineering licences, and cannot be assigned by client wellsite or job title alone.
Limitations：The quoted 8000—10000 yuan does not state the pay period and is not a monthly wage; pre-tax or after-tax status, shift, composition, and the strict direction are incomplete, and no claim is made that it is still hiring.
Limitations：The headline 10000—15000 yuan does not state the pay period and covers many engineering, research and development, and management roles, so it cannot be a strict monthly wage for this occupation or a claim of actual current openings.
Limitations：Added learning distance is editorial judgment and does not guarantee mutual recognition of qualifications, signing, appointment, or pay.
Limitations：Added learning distance is editorial judgment and does not guarantee mutual recognition of qualifications, signing, appointment, or pay.
Limitations：Added learning distance is editorial judgment and does not guarantee mutual recognition of qualifications, signing, appointment, or pay.
Limitations：Editorial ratings use the existing occupational responsibilities and AI task analysis on this page. They are not adoption rates, measured effects, job-disappearance or personal-unemployment probabilities, or official scores from Stanford or another external institution. No measured time weights or future robot deployment are assumed.
The Chinese page explains the United States occupational scope and does not constitute guidance for real drilling, well control, or equipment operation. A1—A5 is completely fictional and not for real wellsites.
MBTI (English) · Big Five (English) · MBTI (Chinese) · Big Five (Chinese)
Project differences: do offshore, onshore, and unconventional well conditions differ.
Credential boundary：Specific design, projects, and sites follow organizational authorization.
Next moves：Propose technical plans for the wellbore, equipment, well control, and testing and report to the drilling and completion supervisor.
Typical scope：Escalate well control, environmental, and equipment risks; final approval goes to authorized personnel.
Readiness evidence：Can show quality reviews, training, and supervisor confirmation.
Credential boundary：Coordination duties are appointed by the organization, and professional training does not automatically grant new signing authority.
Next moves：Review cross-team wellbore, equipment, well control, and testing changes and safety closure.
Next moves：Propose technical plans for production, pumps, and operating anomalies and report to the production supervisor.
Typical scope：Escalate well control, environmental, and equipment risks; final approval goes to authorized personnel.
Readiness evidence：Can show quality reviews, training, and supervisor confirmation.
Credential boundary：Coordination duties are appointed by the organization, and professional training does not automatically grant new signing authority.
Next moves：Review cross-team production, pump, and operating anomaly changes and safety closure.
