OrcaFlex Enrichment Skill Skill

OrcaFlex Enrichment Skill

Converts binary OrcaFlex .dat model files to enriched, client-clean YAML test fixtures using worldenergydata public databases.

Pipeline (all on licensed-win-1)

Stage 1  Extract    .dat + OrcFxAPI → raw YAML params
Stage 2  Enrich     raw YAML + worldenergydata lookups → enriched YAML → client_projects/
Stage 3  Clean      enriched YAML → strip client names → legal scan → digitalmodel/

Stage 1 — Extract

python scripts\data\orcaflex\dat-to-yaml.py ^
    --input "\\dev-secondary\dde\Orcaflex\0000 Drilling Riser Development\Latest" ^
    --output "client_projects\data\raw\orcaflex-extracted\drilling-riser-development" ^
    --project drilling-riser-development

Extracts: general, environment, lines[], vessels[] per .dat file.

Stage 2 — Enrich + Stage (client_projects)

python scripts\data\orcaflex\enrich-and-clean.py ^
    --input  client_projects\data\raw\orcaflex-extracted\ ^
    --output digitalmodel\data\orcaflex\ ^
    --dry-run

Enrichment lookups performed

| Object | OrcaFlex field | worldenergydata lookup | Result field | |--------|---------------|----------------------|--------------| | Line | OD (m→in) | DrillingRiserLoader.filter_by_size(od_in) | component_type, grade_range, api_standard | | Line | OD + WT | PipelineSpecLookup.match_od_wt(od_m, wt_m) | nps_in, schedule, grade_range | | Vessel | type hint from context | BSEE rig fleet .bin | vessel_class, water_depth_rating_m, dp_class |

Enriched YAML output example (line object)

lines:
- component_type: marine_drilling_riser_joint
  nps_in: 21.0
  public_match:
    grade_range: [G105, S135]
    api_standard: API-STD-16F
    source: worldenergydata.vessel_fleet.DrillingRiserLoader
  dat_properties:      # numeric props from .dat — unchanged
    OD: [0.5334]
    WallThickness: [0.025]
    Length: [15.24, 15.24, 15.24]
    CDt: 0.01
    CDn: 1.0
  # name: stripped (client-specific)

Enriched YAML output example (vessel object)

vessels:
- vessel_class: drillship
  water_depth_rating_m: 3658
  dp_class: DP3
  public_source: worldenergydata.vessel_fleet.BSEE_rig_fleet
  dat_properties:
    InitialX: 0.0
    InitialY: 0.0
    InitialZ: 0.0
  # name: stripped

Stage 3 — Clean + Commit

bash scripts/legal/legal-sanity-scan.sh digitalmodel/data/orcaflex/
cd digitalmodel
git add data/orcaflex/
git commit -m "data(orcaflex): enriched fixtures from public vessel/riser databases"

Priority Extraction Order

| Project | .dat count | Standards | worldenergydata lookup | |---------|-----------|-----------|------------------------| | 0000 Drilling Riser Dev/Latest | 31 | DNV-OS-F201 | DrillingRiserLoader (21" joints) | | 31290 WellHead Fatigue/BOP on Wellhead | 240 | API-RP-2A-WSD | DrillingRiserLoader (BOP) | | 611 Mecor S Lay/Reference | 3 | DNV-OS-F101 | PipelineSpecLookup (pipe OD) | | 5 - OrcaFlex API Check | 1 | — | minimal fixture |

worldenergydata Database Status

| Dataset | Status | Location | |---------|--------|----------| | drilling_riser_components.csv | 24 rows (partial) | data/modules/vessel_fleet/curated/ | | rig_fleet_full.bin | 2,320 rigs (Feb 2026) | data/modules/bsee/.local/rig_fleet/ | | construction_vessels.csv | missing — see WRK-593 | data/modules/vessel_fleet/curated/ | | api_5l_pipe_schedule.csv | missing — see WRK-594 | data/modules/pipeline/ |

Key worldenergydata API Calls

from worldenergydata.vessel_fleet import DrillingRiserLoader

loader = DrillingRiserLoader()
# Match riser joint by OD
joints = loader.filter_by_size(od_in=21.0)

# Get all riser joints
all_joints = loader.get_riser_joints()

# Get BOPs
bops = loader.get_bops()

# Pipeline spec lookup (after WRK-594)
from worldenergydata.bsee.pipeline import PipelineSpecLookup

lookup = PipelineSpecLookup()
spec = lookup.match_od_wt(od_m=0.2731, wt_m=0.012)
# → {nps_in: 10.75, schedule: "XS", grade_range: ["X60", "X65"], ...}

Blocked By

WRK-593: expand drilling_riser_components.csv + add construction_vessels.csv
WRK-594: create api_5l_pipe_schedule.csv + PipelineSpecLookup class

Agent Skills: OrcaFlex Enrichment Skill

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