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SKILL verified Apache-2.0 Self-run

Neqsim Dry Gas Seal Screening

skill-equinor-neqsim-community-skills-dry-gas-seal-screening · by equinor

Educational dry gas seal supply and condensation screening for centrifugal compressors. USE WHEN: a task needs a public, screening-level estimate of seal-gas and separation-gas supply demand and a seal-gas condensation-margin check (cavity temperature versus hydrocarbon dew point) before detailed dry gas seal system design per API 692.

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$ agentstack add skill-equinor-neqsim-community-skills-dry-gas-seal-screening

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No issues found. Passed automated security review. · v0.1.0 How review works →

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  • Dangerous shell & filesystem operations
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  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

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About

Dry Gas Seal Screening

Use this skill for public, educational dry gas seal screening on centrifugal compressors. It estimates the seal-gas and separation-gas supply demand from the primary seal leakage rate and flags retrograde-condensation risk by comparing the seal cavity temperature against a hydrocarbon dew point at the seal/vent reference condition.

When to Use

  • When a user asks whether a compressor dry gas seal has adequate seal-gas supply margin.
  • When an agent needs a quick condensation-risk triage for the primary vent / standpipe dead-leg before a detailed seal study.
  • When examples must run without confidential seal vendor data, machine line lists, or project seal-gas conditioning specifications.

Inputs

  • seal_leakage_rate_nl_per_min: primary seal leakage rate at standard conditions in NL/min per seal.
  • seal_cavity_temperature_c: seal cavity (process-side) temperature in degrees C.
  • hydrocarbon_dew_point_c: hydrocarbon dew point at the seal/vent reference condition in degrees C.
  • seal_count: number of seals supplied (default 2: drive end and non-drive end).
  • supply_margin: seal-gas supply margin over leakage, dimensionless, default 1.25.
  • separation_gas_rate_nl_per_min: separation (secondary) gas rate per seal in NL/min, default 0.0.

Outputs

  • total_seal_gas_supply_nl_per_min: screening seal-gas supply demand.
  • separation_gas_supply_nl_per_min: screening separation-gas supply demand.
  • seal_gas_supply_margin_ratio: the applied supply margin over leakage.
  • condensation_margin_c: seal cavity temperature minus the hydrocarbon dew point.
  • condensation_warning: ok, watch, or high (a small or negative margin means higher condensation risk).
  • assumptions: public assumptions used by the placeholder model.

Engineering Method

The Python class DryGasSealModel uses open, public concepts only:

  • seal-gas supply demand is the primary seal leakage multiplied by the seal count and a supply margin, reflecting the API 692 intent that supply must exceed leakage to keep the seal faces clean.
  • separation-gas supply demand scales with the seal count.
  • the condensation margin compares the seal cavity temperature against a hydrocarbon dew point at the seal/vent reference condition. A small or negative margin flags retrograde condensation risk in the primary vent piping and standpipe dead-legs, which is the failure mode that seal-gas conditioning units exist to prevent.

This is educational and screening-only logic. It is not a seal vendor method, not a seal-gas conditioning design, and not a replacement for validated dry gas seal analysis and a qualified rotating-equipment review.

Python Usage Pattern

from dry_gas_seal_screening import DryGasSealModel

model = DryGasSealModel()
result = model.evaluate(
    seal_leakage_rate_nl_per_min=280.0,
    seal_cavity_temperature_c=44.0,
    hydrocarbon_dew_point_c=40.0,
    seal_count=2,
    supply_margin=1.25,
    separation_gas_rate_nl_per_min=120.0,
)

print(result.condensation_warning)
print(result.total_seal_gas_supply_nl_per_min)
print(result.condensation_margin_c)

If the optional neqsim Python package is available, the result records that fact so an agent can recommend moving to validated NeqSim seal-gas dew-point and condensation analysis. If it is not installed, the example still runs with public placeholder logic.

Validation Checklist

  • [ ] Inputs are in the documented units (NL/min, degrees C).
  • [ ] Example inputs are public and synthetic.
  • [ ] Tests cover ok, watch, high, and invalid-input cases.
  • [ ] Results are described as educational screening indicators.
  • [ ] Real seal system design is redirected to validated methods, API 692, and qualified review.

Common Mistakes

| Symptom | Cause | Fix | | --- | --- | --- | | Condensation never flagged | Dew point taken at cavity pressure instead of the vent/expanded condition | Use the hydrocarbon dew point at the seal/vent reference condition | | Supply demand looks low | Supply margin set to 1.0 | Use a supply margin above 1.0 consistent with the seal-gas control philosophy | | Wrong total supply | Seal count not matching the machine arrangement | Set seal_count to the actual number of seals supplied |

Limitations

  • No seal vendor leakage curves, clearance models, or qualification data are included.
  • No isenthalpic (Joule-Thomson) expansion or transient standpipe cooldown is modelled.
  • No seal-gas conditioning unit (heater/separator) sizing is performed.
  • Not suitable for safety-critical, design, guarantee, or standards-compliance work.

Related NeqSim Functionality

This educational screening corresponds to validated, rigorous functionality in the NeqSim Java library that a qualified engineer should use for design-grade work:

  • neqsim.process.equipment.compressor.DryGasSealAnalyzer — isenthalpic seal-gap expansion, retrograde condensation mapping, dead-leg cooldown, condensate accumulation, and seal-gas conditioning unit sizing per API 692.
  • neqsim.process.measurementdevice.HydrocarbonDewPointAnalyser — hydrocarbon dew-point evaluation for the seal-gas stream.
  • neqsim.process.equipment.valve.ThrottlingValve — Joule-Thomson expansion modelling across the seal gap.

In Python the same classes are reachable through the neqsim package (for example from neqsim import jneqsim).

References

  • NeqSim repository: https://github.com/equinor/neqsim
  • NeqSim Skills Guide: https://github.com/equinor/neqsim/blob/master/docs/integration/skills_guide.md
  • Public rotating-equipment references such as API 692 (Dry Gas Sealing Systems) and API 614 (Lubrication, Shaft-Sealing, and Oil-Control Systems) for general seal-gas concepts.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.