fitness-for-service
Expert FFS engineer applying API 579-1/ASME FFS-1 methodology to corroded and damaged offshore equipment. Use for RSF calculations, MAWP re-rating, remaining life projection, UT grid inspection data, run-repair-replace decisions, and Level 1/2/3 assessment workflows. type: reference
Best use case
fitness-for-service is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert FFS engineer applying API 579-1/ASME FFS-1 methodology to corroded and damaged offshore equipment. Use for RSF calculations, MAWP re-rating, remaining life projection, UT grid inspection data, run-repair-replace decisions, and Level 1/2/3 assessment workflows. type: reference
Teams using fitness-for-service should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/fitness-for-service/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How fitness-for-service Compares
| Feature / Agent | fitness-for-service | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert FFS engineer applying API 579-1/ASME FFS-1 methodology to corroded and damaged offshore equipment. Use for RSF calculations, MAWP re-rating, remaining life projection, UT grid inspection data, run-repair-replace decisions, and Level 1/2/3 assessment workflows. type: reference
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## When to Use
- Level 1 screening (conservative equations, minimal inspection data)
- Level 2 detailed assessment (refined analysis using thickness profiles)
- RSF and MAWP calculation from UT thickness data
- Remaining life projection with linear and power-law corrosion models
- Processing UT grid CSV data to CTP (Critical Thickness Profile) maps
- Run-repair-replace decision framework
## Assessment Levels (API 579-1/ASME FFS-1)
| Level | Approach | Input Required |
|-------|----------|----------------|
| Level 1 | Screening — conservative, tabulated equations | Nominal thickness, design pressure, corrosion rate |
| Level 2 | Detailed — refined with actual thickness profiles | UT grid measurements, material properties |
| Level 3 | Advanced — FEA/fracture mechanics | Full material data, specialist analysis |
## Core Calculations
### Remaining Strength Factor (RSF)
```python
from digitalmodel.asset_integrity.rsf_calculations import calculate_rsf, check_ffs_level1
# Level 1 screening — General Metal Loss
result = calculate_rsf(
t_measured=0.280, # measured wall thickness (inches)
t_required=0.150, # required minimum wall thickness (inches)
t_nominal=0.375, # original design wall thickness (inches)
)
print(f"RSF: {result['rsf']:.4f}") # e.g. 0.7467
print(f"FFS: {result['ffs_acceptable']}") # True if RSF >= RSF_allowable (0.90)
print(f"MAWP ratio: {result['mawp_ratio']:.4f}")
# Level 1 acceptability check
check = check_ffs_level1(
t_measured=0.280,
t_required=0.150,
t_nominal=0.375,
design_pressure_psi=1200.0,
smys_psi=65000,
outer_diameter_in=12.75,
)
print(f"Level 1 acceptable: {check['acceptable']}")
print(f"MAWP remaining: {check['mawp_psi']:.1f} psi")
```
### Remaining Life Projection
```python
from digitalmodel.asset_integrity.rsf_calculations import remaining_life
# Linear corrosion model (most common)
life = remaining_life(
t_current=0.280, # measured wall (inches)
t_minimum=0.150, # required wall (code minimum)
corrosion_rate_in_per_yr=0.008, # measured corrosion rate
model="linear",
)
print(f"Remaining life: {life['remaining_years']:.1f} years")
print(f"Next inspection by: {life['inspection_date']}")
# Power-law model for accelerating corrosion
life_pw = remaining_life(
t_current=0.280,
t_minimum=0.150,
corrosion_rate_in_per_yr=0.008,
model="power_law",
power_law_exponent=1.3,
)
```
### UT Grid — CTP Processing
```python
from digitalmodel.asset_integrity.rsf_calculations import process_ut_grid
# Read UT measurement grid from CSV
# CSV format: rows=axial positions, cols=circumferential positions, values=thickness (inches)
ctp = process_ut_grid(
csv_path="inspection_data/UT_grid_node_123.csv",
t_nominal=0.375,
t_required=0.150,
)
print(f"Minimum measured thickness: {ctp['t_min']:.4f} in")
print(f"Average thickness: {ctp['t_avg']:.4f} in")
print(f"Metal loss fraction: {ctp['metal_loss_pct']:.1f}%")
print(f"CTP grid shape: {ctp['grid_shape']}")
print(f"Points below t_required: {ctp['critical_points']}")
```
## Run-Repair-Replace Decision Framework
| Decision | Condition | Action |
|----------|-----------|--------|
| **Run** | RSF >= 0.90 and t_min > t_required | Continue with monitoring plan |
| **Run (reduced MAWP)** | RSF < 0.90 but MAWP_remaining > 0 | Reduce operating pressure, re-inspect in <= remaining_life/2 |
| **Repair** | t_min < t_required, repair practical | Weld overlay, clamp, composite wrap |
| **Replace** | RSF -> 0 or repair impractical | Spool replacement, re-pipe |
## Standards Reference
| Standard | Scope |
|----------|-------|
| API 579-1 / ASME FFS-1 | Fitness-for-service (primary) |
| API 510 | Pressure vessel inspection |
| API 570 | Piping inspection codes |
| DNV-RP-G101 | Risk-based inspection, offshore topside |
| NACE SP0502 | Pipeline ECDA |
## Related Skills
- [cathodic-protection](../cathodic-protection/SKILL.md) — prevents corrosion; FFS assesses once it occurs
- [risk-assessment](../risk-assessment/SKILL.md) — probabilistic framework for inspection planning
- [structural-analysis](../structural-analysis/SKILL.md) — structural integrity checksRelated Skills
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