OrcaWave to OrcaFlex Integration Skill

Specialized expertise for converting OrcaWave diffraction analysis results to OrcaFlex vessel type format for time-domain simulations.

Version Metadata

yaml

version: 1.0.0
python_min_version: '3.10'
dependencies:
  numpy: '>=1.24.0'
  pandas: '>=2.0.0'
  pyyaml: '>=6.0'
orcaflex_version: '>=11.0'
orcawave_version: '>=11.0'
compatibility:
  tested_python:
  - '3.10'
  - '3.11'
  - '3.12'
  - '3.13'
  os:
  - Windows

When to Use

Converting OrcaWave results (.owr) to OrcaFlex vessel type
Creating hydrodynamic database for time-domain analysis
Importing RAO data from diffraction analysis
Adding viscous damping to radiation damping
Transforming coordinate systems between tools
Setting up vessel types with full hydrodynamic properties
Batch conversion of multiple loading conditions

Workflow Overview

OrcaWave Analysis              OrcaFlex Model
┌──────────────────┐          ┌──────────────────┐
│ Panel mesh       │          │ Vessel object    │
│ Diffraction/     │    →     │ Vessel type      │
│ Radiation        │          │ - RAOs           │
│ QTF (optional)   │          │ - Added mass     │
└──────────────────┘          │ - Damping        │
                              │ - QTF (optional) │
                              └──────────────────┘

Python API

Basic Conversion

python

from digitalmodel.modules.diffraction.orcawave_converter import OrcaWaveConverter
from digitalmodel.modules.diffraction.orcaflex_exporter import OrcaFlexExporter

# Load OrcaWave results
import OrcFxAPI

# Option 1: From OrcaWave model directly
orcawave_model = OrcFxAPI.DiffractionModel("models/fpso.owr")
vessel = orcawave_model.Vessel

# Initialize converter
converter = OrcaWaveConverter(vessel)

# Convert to unified schema
unified_data = converter.convert()

# Export to OrcaFlex format
exporter = OrcaFlexExporter()
exporter.export_vessel_type(
    data=unified_data,
    output_file="orcaflex_models/fpso_vessel_type.yml",
    format="yaml"
)

With Viscous Damping

python

from digitalmodel.modules.orcawave.orcaflex_export import OrcaWaveToOrcaFlex

# Initialize converter with damping options
converter = OrcaWaveToOrcaFlex()

# Load OrcaWave results
converter.load_orcawave("models/fpso.owr")

# Add viscous damping (percentage of critical)
converter.set_viscous_damping({
    'Roll': 0.05,   # 5% critical
    'Pitch': 0.03,  # 3% critical
    'Heave': 0.02,  # 2% critical
    'Surge': 0.01,
    'Sway': 0.01,
    'Yaw': 0.02
})

# Export with combined damping
converter.export(
    output_file="orcaflex_models/fpso_with_damping.yml",
    include_qtf=True,
    include_mean_drift=True
)

Full Hydrodynamic Database

python

from digitalmodel.modules.orcawave.orcaflex_export import HydrodynamicDatabaseCreator

# Create complete hydrodynamic database
db_creator = HydrodynamicDatabaseCreator()

# Load all loading conditions
db_creator.add_condition(
    name="full_load",
    orcawave_file="models/fpso_full.owr",
    draft=22.0
)
db_creator.add_condition(
    name="ballast",
    orcawave_file="models/fpso_ballast.owr",
    draft=12.0
)
db_creator.add_condition(
    name="transit",
    orcawave_file="models/fpso_transit.owr",
    draft=8.0
)

# Create interpolated database
db = db_creator.create_database(
    interpolation_parameter="draft",
    output_directory="orcaflex_models/hydro_database/"
)

# Generate vessel type with draft-dependent properties
db_creator.export_vessel_type(
    db,
    output_file="orcaflex_models/fpso_vessel_type.yml"
)

RAO Import with Validation

python

from digitalmodel.modules.orcawave.rao_import import RAOImporter
from digitalmodel.modules.diffraction.output_validator import OutputValidator

# Import RAOs with validation
importer = RAOImporter()

# Load OrcaWave RAOs
raos = importer.load_from_orcawave("models/fpso.owr")

# Validate before export
validator = OutputValidator()
validation_result = validator.validate_raos(
    raos,
    checks=[
        "frequency_range",
        "heading_coverage",
        "value_ranges",
        "phase_continuity",
        "symmetry"
    ]
)

if validation_result.is_valid:
    # Export validated RAOs
    importer.export_to_orcaflex(
        raos,
        output_file="orcaflex_models/fpso_raos.yml"
    )
else:
    print(f"Validation issues: {validation_result.issues}")

Coordinate Transformation

python

from digitalmodel.modules.orcawave.coordinate_transform import CoordinateTransformer

# Handle coordinate system differences
transformer = CoordinateTransformer()

# OrcaWave uses different conventions than OrcaFlex
# Transform origin location
transformer.set_orcawave_origin(
    x=150.0,  # Midship
    y=0.0,
    z=0.0     # At waterline
)

transformer.set_orcaflex_origin(
    x=0.0,    # Stern
    y=0.0,
    z=-10.0   # At keel
)

# Transform RAO phases for heading convention
# OrcaWave: Wave FROM direction
# OrcaFlex: Wave TO direction (configurable)
transformer.set_heading_convention(
    orcawave="from",
    orcaflex="from"  # Match conventions
)

# Apply transformation to data
transformed_data = transformer.transform(orcawave_data)

Configuration Examples

Standard Export Configuration

yaml

# configs/orcawave_to_orcaflex.yml

conversion:
  input:
    orcawave_file: "models/fpso.owr"

  output:
    directory: "orcaflex_models/"
    vessel_type_file: "fpso_vessel_type.yml"

  contents:
    include_raos: true
    include_added_mass: true
    include_damping: true
    include_hydrostatics: true
    include_qtf: true
    include_mean_drift: true

  viscous_damping:
    roll: 0.05
    pitch: 0.03
    heave: 0.02
    surge: 0.01
    sway: 0.01
    yaw: 0.02

  coordinate_transform:
    origin_shift: [0.0, 0.0, 0.0]
    heading_convention: "from"  # Wave direction convention

  validation:
    check_frequency_range: true
    check_heading_coverage: true
    check_value_ranges: true
    min_frequency: 0.02
    max_frequency: 2.0

Batch Conversion Configuration

yaml

# configs/batch_conversion.yml

batch_conversion:
  conditions:
    - name: "draft_22m"
      input: "models/fpso_draft22.owr"
      draft: 22.0
      trim: 0.0

    - name: "draft_18m"
      input: "models/fpso_draft18.owr"
      draft: 18.0
      trim: 0.5

    - name: "draft_14m"
      input: "models/fpso_draft14.owr"
      draft: 14.0
      trim: 1.0

  common_settings:
    viscous_damping:
      roll: 0.05
    include_qtf: true

  output:
    directory: "orcaflex_models/conditions/"
    naming_pattern: "fpso_{name}.yml"

Export Formats

Supported Output Formats

Format	Extension	Use Case
YAML	.yml	OrcaFlex vessel type
CSV	.csv	Spreadsheet analysis
Excel	.xlsx	Multi-sheet export
JSON	.json	API integration
OrcaFlex Data	.dat	Direct OrcaFlex import
HDF5	.h5	Large dataset storage

Multi-Format Export

python

from digitalmodel.modules.diffraction.orcawave_converter import OrcaWaveConverter

# Convert and export to multiple formats
converter = OrcaWaveConverter(vessel)
unified_data = converter.convert()

# Export all formats
converter.export_all_formats(
    unified_data,
    output_directory="exports/",
    base_name="fpso_hydro",
    formats=["yaml", "csv", "xlsx", "json"]
)

CLI Usage

bash

# Basic conversion
python -m digitalmodel.modules.orcawave.convert \
    --input models/fpso.owr \
    --output orcaflex_models/fpso_vessel_type.yml

# With viscous damping
python -m digitalmodel.modules.orcawave.convert \
    --input models/fpso.owr \
    --output orcaflex_models/fpso_vessel_type.yml \
    --roll-damping 0.05 \
    --pitch-damping 0.03

# Include QTF
python -m digitalmodel.modules.orcawave.convert \
    --input models/fpso.owr \
    --output orcaflex_models/fpso_vessel_type.yml \
    --include-qtf \
    --include-mean-drift

# Batch conversion
python -m digitalmodel.modules.orcawave.convert batch \
    --config configs/batch_conversion.yml

# Validate before export
python -m digitalmodel.modules.orcawave.convert \
    --input models/fpso.owr \
    --output orcaflex_models/fpso_vessel_type.yml \
    --validate \
    --validation-report reports/validation.html

Validation Checks

Pre-Export Validation

python

from digitalmodel.modules.diffraction.output_validator import OrcaFlexExportValidator

# Validate export data
validator = OrcaFlexExportValidator()

# Run all checks
validation = validator.validate_for_orcaflex(
    data=unified_data,
    checks=[
        "frequency_range",      # 0.02-2.0 rad/s typical
        "heading_coverage",     # 0-360 degrees
        "rao_ranges",           # Physical limits
        "added_mass_positive",  # Diagonal > 0
        "damping_positive",     # Diagonal >= 0
        "phase_continuity",     # No 360-degree jumps
        "matrix_symmetry",      # A_ij = A_ji
        "units_consistency"     # SI units
    ]
)

# Report issues
if not validation.passed:
    for issue in validation.issues:
        print(f"[{issue.severity}] {issue.check}: {issue.message}")

OrcaFlex Vessel Type Structure

Generated YAML Structure

yaml

# Generated vessel type file
VesselType:
  Name: "FPSO_HydroDB"

  DisplacementRAOs:
    # Surge RAO
    - Period: 5.0
      Direction: 0.0
      SurgeAmplitude: 0.95
      SurgePhase: 15.0
    # ... more entries

  LoadRAOs:
    # Force/moment RAOs
    - Period: 5.0
      Direction: 0.0
      SurgeLoadAmplitude: 150000.0
      SurgeLoadPhase: 20.0
    # ... more entries

  AddedMassAndDamping:
    - Period: 5.0
      AddedMassX: 25000000.0
      AddedMassY: 35000000.0
      AddedMassZ: 45000000.0
      # ... full 6x6 matrix
      DampingX: 1500000.0
      DampingY: 2000000.0
      # ... full 6x6 matrix

  WaveDrift:
    # Mean drift coefficients
    - Period: 5.0
      Direction: 0.0
      DriftForceX: -50000.0
      DriftForceY: 0.0
      DriftMomentZ: 0.0

  QTF:
    # Quadratic transfer functions (if included)
    Frequencies: [0.05, 0.1, 0.15, ...]
    HeadingPairs: [[0, 0], [0, 30], ...]
    Data:
      - FrequencyPair: [0.05, 0.05]
        HeadingPair: [0, 0]
        SurgeReal: -10000.0
        SurgeImag: 5000.0
        # ... other DOFs

Best Practices

Validate First: Always validate OrcaWave results before conversion
Consistent Units: Verify SI units throughout
Coordinate Systems: Document origin locations clearly
Heading Convention: Match wave direction conventions
Viscous Damping: Add realistic viscous damping for roll
Frequency Range: Ensure coverage of wave spectrum
QTF Data: Include for moored vessel analysis
Version Control: Track both OrcaWave and OrcaFlex versions

Error Handling

python

# Handle conversion errors
try:
    converter = OrcaWaveConverter(vessel)
    data = converter.convert()

except MissingDataError as e:
    print(f"Required data missing: {e}")
    # Check OrcaWave analysis completeness

except FrequencyMismatchError as e:
    print(f"Frequency discretization issue: {e}")
    # Interpolate to common frequencies

except CoordinateTransformError as e:
    print(f"Coordinate transformation failed: {e}")
    # Verify origin definitions

except ExportError as e:
    print(f"Export failed: {e}")
    # Check output directory permissions

Related Skills

orcawave-analysis - OrcaWave diffraction analysis
orcaflex-vessel-setup - OrcaFlex vessel configuration
orcaflex-rao-import - RAO data import
hydrodynamics - Coefficient management

References

OrcaWave Data Format Specification
OrcaFlex Vessel Type Documentation
Converter Implementation: src/digitalmodel/modules/diffraction/orcawave_converter.py
Exporter Implementation: src/digitalmodel/modules/diffraction/orcaflex_exporter.py

Version History

1.0.0 (2026-01-17): Initial release with conversion, validation, and multi-format export

Search AI Tools

orcawave-to-orcaflex

Install this agent skill to your Project

SKILL.md

OrcaWave to OrcaFlex Integration Skill

Version Metadata

When to Use

Workflow Overview

Python API

Basic Conversion

With Viscous Damping

Full Hydrodynamic Database

RAO Import with Validation

Coordinate Transformation

Configuration Examples

Standard Export Configuration

Batch Conversion Configuration

Export Formats

Supported Output Formats

Multi-Format Export

CLI Usage

Validation Checks

Pre-Export Validation

OrcaFlex Vessel Type Structure

Generated YAML Structure

Best Practices

Error Handling

Related Skills

References