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Key statistics

The identity block — every fact is canon, none is generated.

4 of 8

Track

Individual contributor

Family rungs priced

P1 · P2 · P3 · P4 · P5 · P6 · P7

19-0000

industrial_energy_operations

Coordinates

3 / 4 spaces

pay@2 · 2026-07

What this role is

Experienced petrophysicist who independently evaluates rock and fluid properties to guide reservoir characterization and development decisions. At the Senior Professional (P4) level, the role owns a system or set of related features, devises new approaches, and drives multi-team / function outcomes. Technical lead for focused efforts; mentors several.

What this level does

Lead petrophysical interpretation for exploration and appraisal wells, including data acquisition planning and log quality control across complex or heterogeneous formations
Perform in-depth evaluation of complex variables — thin beds, low-resistivity pay, complex lithology, and unconventional reservoirs — selecting appropriate interpretation methods and rock-physics models
Mentor junior petrophysicists and contribute to best practice implementation across the team
Translate petrophysical findings into functional impact for well placement, completion decisions, and static/dynamic model calibration
Coordinate multidisciplinary integration across subsurface groups, influencing acquisition strategy and reserve booking inputs

Knowledge applied: Applies in-depth expertise to complex/heterogeneous formations — thin beds, low-resistivity pay, unconventionals — selecting interpretation methods and rock-physics models.
Complexity & problem solving: Performs in-depth analysis of complex variables with functional impact on well placement, completions, and reserves; adapts methods where standard workflows are insufficient.
Collaboration & interaction: Coordinates across subsurface groups, influences acquisition strategy, and mentors junior petrophysicists; may lead well or project teams.
Typical experience: 8+ years, often with graduate education.

Skills at this level

Log analysis, rock physics, and core-log integration: — Interprets wireline and LWD logs, calibrates them against RCAL/SCAL core measurements, and applies rock-physics relationships to derive porosity, saturation, permeability, and net pay for reservoir characterization.
Formation evaluation program design: — Plans and supervises petrophysical data acquisition — coring, wireline and MWD/LWD logging, formation pressure measurements and fluid sampling, production logging, and cement evaluation — and specifies the QC and processing sequence.
Petrophysical software proficiency: — Uses Techlog, Geolog, or Interactive Petrophysics to load, depth-match, QC, and interpret well data and compute reservoir properties; applies modules such as Quanti.Elan for multi-mineral/saturation solving.
Reservoir property uncertainty modeling: — Quantifies and propagates uncertainty in porosity, saturation, and net pay so that reservoir property ranges are correctly reflected in static and dynamic subsurface models.
Core-log data QC and management: — Performs quality control on legacy and new well datasets — depth registration, environmental corrections, tool response checks — and manages data consistency across multidisciplinary subsurface teams.
Multidisciplinary subsurface integration: — Reconciles petrophysical interpretation with geology, geophysics, and reservoir engineering inputs to build a coherent subsurface picture supporting well placement and field development.
Complex/unconventional formation evaluation: — Applies advanced methods to challenging reservoirs — thin beds, low-resistivity pay, complex lithology, and unconventionals — where standard porosity/saturation models require adaptation or novel interpretation.
Petrophysics for asset valuation and due diligence: — Translates log and core interpretation into value drivers and material technical risks for asset valuation, transactions, and strategic decisions across oil and gas and carbon-storage assets under transaction timelines.
Broader geoscience literacy: — Applies working knowledge of basic geology and geophysics to contextualize petrophysical results within depositional and structural frameworks.
Technical communication and stakeholder influence: — Presents interpretation results, uncertainty ranges, and value implications clearly to subsurface teams, executives, partners, and regulators to inform and defend subsurface decisions.
Mentorship and best-practice development: — Coaches junior and peer petrophysicists and establishes interpretation standards and workflows that raise the technical consistency of the team or organization.

Model-authored from 18 retrieved sources, then adversarially reviewed by an independent judge panel and held to a minimum-evidence floor before publication. Distinct from corpus-extracted content, which is labelled as such.

Pay across the ladder

Petrophysics — median with , by . Real canon data.

National-base pricing — this family's function differential is pending review, so dollar levels are not function-adjusted (level-over-level % is unaffected).

Pay figures are modeled estimates from our market equation — level-differentiated, with honest-wide bands. They refresh as new leveling evidence lands; treat per-role dollars as directional.

Demand — is the field growing, or just turning over?

SOC 19-0000 · national

Employment growth 2019–2024, BLS OEWSobserved

-22.9%Geoscientists, Except Hydrologists and Geographers · United States

29,200 → 22,510 jobs

2,000 openings / year, split into:

replacement / exits 1,919

Growth — new jobs (4%)Exits — backfill (96%)

4% of hiring here is genuine expansion; the rest backfills people who move on.

Projected growth 2024–34 expanding: +3.2%
Growth share of hiring: 4%
Exit / retention pressure high: 96%
Openings / year: 2,000

Two quantities, kept apart: observed = employment growth differenced from two BLS OEWS vintages (what already happened); projected = BLS Employment Projections 2024–34, openings decomposed into growth + exits (growth derived from projected employment change). Neither is a pay figure.

Where this role sits — growth vs. pay

level P4 held

Demand axis is projected growth (not raw openings — that just measures churn). A curated, de-duplicated set of recognizable occupations held at this level; this role is highlighted.

Where it pays — by metro

OEWS metro median

San Jose-Sunnyvale-Santa Clara, CA$178k

San Francisco-Oakland-Fremont, CA$160k

Washington-Arlington-Alexandria, DC-VA-MD-WV$148k

Boulder, CO$146k

Seattle-Tacoma-Bellevue, WA$146k

Boston-Cambridge-Newton, MA-NH$139k

Lexington Park, MD$136k

Trenton-Princeton, NJ$135k

Pay only — metro-level demand isn't in public data (it needs job postings). National median $107k; the demand-cube initiative will add growth-by-metro.

What changes across the ladder

Level-distinction canon isn't available for the adjacent levels of this profile yet.

Level differentiators

What separates P4 (P4 — Senior Professional) from the levels around it — this level only. Every word is real canon for this profile.

Scope: A system or set of related features
Autonomy: Self-directed; reviewed at critical decision points
Complexity: Complex, ambiguous problems; devises new approaches
Impact: Multi-team / function outcomes
Decision rights: Owns technical decisions for a system; influences adjacent design
Leadership: Technical lead for focused efforts; mentors several

Full level-by-level matrix (side by side across the ladder) lives on the Ladder drill-down — not here.

Promotion

The next rung from P4 is P5.

Performance criteria for this profile render in the assessment kit →

People also watch

Nearest coordinate neighbors — same , same level. Each row's (confident / review / no match) comes from its — computed, not curated.

Profile	Key	Median	Δ structural
Chief Subsurface Officer	jf_petrophysics::E4	$389,207†	confident0.06
Senior Manager, Petrophysics	jf_petrophysics::M4	$167,689†	confident0.06
Petrophysics Technician	jf_petrophysics::S4	$56,408†	confident0.06
Petrophysicist	jf_petrophysics::P3	$82,468†	confident0.06

†National-base pricing — this family's function differential is pending review, so the dollar level is not function-adjusted.

Capability cluster

O*NET 19-2042

Core to this role. Click any element with an ⓘ for its O*NET definition. A job-specific capability model (SkillFrame) will sharpen this and add worked examples.

The Job Swatch

P4

jf_petrophysics::P4

Senior Petrophysicist

Petrophysics

The swatch is JobFrame's core primitive: a hueset deterministically by the role's superfunction, the profileKey as its color code, the level ladder, and a content fingerprint. Two swatches that look alike are alike.

Because every role carries computable coordinates, similarity, leveling, and pricing become measurable instead of arguable— the whole point of "Pantone for jobs."

Structural

structural@1

Where it sits— position in the work taxonomy + level (weighted Gower, level > function > focus).

Track: P
Superfunction: industrial_energy_operations
Function: geoscience
Family: petrophysics
Universal level: 4 / 8

Content

content@2

What it's about— a fingerprint over the role's tasks & capabilities.

Two roles can sit far apart structurally yet be close in content — that gap is itself a signal.

3-state matching

How any two swatches compare — a real distance in coordinate space, resolved to a calibrated verdict (never a fake "94% match").

Geology · P4review0.17

Geomatics · P4review0.17

Geophysics · P4review0.17

Geothermal · P4review0.17

Technologist · P4review0.17

Editions — frozen & versioned

structural@1live

Released 2026-06-17

content@2live

Released 2026-07-28

pay@2live

Released 2026-07-02

semantic@1live

Released 2026-07-02

Coordinates belong to a frozen, versioned edition — a coordinate computed today still means the same thing next quarter. Re-fitting issues a new edition, so comparisons are never silently redefined.

How to read this profile

Every number here is traceable — to a named source, a stated method, and an as-of date — and each value is labeled by how we know it: observed from data, computed by a model, projected forward, or governed canon. Nothing is a black box, and nothing is invented to fill a gap.

Where every number comes from

What	Source & method	Edition	State
Median pay + range	JobFrame pay equation (function base × family multiplier × level × focus differential)	pay@2	computed
Pay across the ladder	Same equation applied at each universal level	pay@2	computed
Demand — growth & openings	BLS Employment Projections; openings decomposed into growth + exits	EP 2024–34	projected
Pay by metro	BLS OEWS metropolitan medians	OEWS 2024	observed
Level distinctions	JobFrame universal-level canon (scope · autonomy · complexity · impact · decision rights · leadership)	canon	canon
Capability cluster	O*NET Knowledge / Skills / Abilities	O*NET 19-2042	computed
Coordinates	JobFrame coordinate system — structural (weighted Gower) + content fingerprint	structural@1 · content@2 · pay@2 · semantic@1	computed
Related roles	Nearest neighbors in the structural coordinate space	structural@1	computed

The principles behind the numbers

Ranges, not false precision

Pay is P10 · median · P90, never a single misleading number.

Three honest states, never a fake %

Role matches resolve to confident / review / no-match — a calibrated verdict, not a made-up percentage.

Provenance on every value

Each number carries whether it's observed, computed, projected, or canon — so you always know how much to lean on it.

Gaps shown as gaps

When a figure isn't available at the grain you need, we say so — we don't fabricate a number to fill the cell.

Frozen, versioned editions

Pay and coordinate editions are pinned, so a comparison you make today still means the same thing next quarter.

Privacy by min-N

Any aggregate over people is suppressed below a minimum count, so no individual is identifiable.

Freshness

As of2026-07-30Editioncanon-v2@2.1.0-completeSourcecanon-v2 cell + salary-benchmark (model)