| name | marine-offshore-engineering |
| version | 1.0.0 |
| description | Marine and offshore engineering fundamentals for platform design, subsea systems, and regulatory compliance |
| author | workspace-hub |
| category | subject-matter-expert |
| tags | ["marine-engineering","offshore","fpso","platforms","subsea","regulations","dnv","api"] |
| platforms | ["engineering"] |
Marine and Offshore Engineering SME Skill
Comprehensive marine and offshore engineering knowledge for platform design, subsea systems, mooring, and regulatory compliance.
When to Use This Skill
Use this SME knowledge when:
- Platform design - FPSOs, semi-submersibles, TLPs, SPARs
- Subsea systems - Templates, manifolds, pipelines, umbilicals
- Marine operations - Installation, commissioning, decommissioning
- Regulatory compliance - DNV, API, ISO standards
- Environmental loading - Wind, wave, current forces
- Station-keeping - Mooring and dynamic positioning
Core Knowledge Areas
1. Platform Types
Fixed Platforms:
- Jacket structures - Steel lattice framework, common in shallow water (<150m)
- Jack-ups - Mobile platforms with retractable legs
- Compliant towers - Slender structures for deeper water (300-900m)
Floating Platforms:
- Semi-submersibles - Pontoons and columns, excellent motion characteristics
- TLPs (Tension Leg Platforms) - Vertically moored, minimal vertical motion
- SPARs - Deep draft cylindrical hull, good in ultra-deep water
- FPSOs - Converted/purpose-built tankers for production and storage
Selection Criteria:
def select_platform_type(water_depth: float, field_life: float) -> str:
"""
Platform type selection based on water depth.
Args:
water_depth: Water depth in meters
field_life: Expected field life in years
Returns:
Recommended platform type
"""
if water_depth < 150:
return "Fixed platform (Jacket)"
elif water_depth < 500:
if field_life < 5:
return "Jack-up (temporary)"
else:
return "Semi-submersible or FPSO"
elif water_depth < 2000:
return "Semi-submersible, SPAR, or FPSO"
else:
return "SPAR or FPSO"
2. Environmental Loading
Wind Loading:
- API RP 2A: V = V_1hr * (z/10)^(1/7) # Wind profile
- Force: F = 0.5 * ρ * V² * Cd * A
Wave Loading:
- Airy (Linear) Wave Theory - Small amplitude waves
- Stokes 2nd/3rd Order - Finite amplitude
- Stream Function - Highly nonlinear waves
Current Loading:
import numpy as np
def calculate_current_force(
velocity: float,
diameter: float,
length: float,
cd: float = 1.2
) -> float:
"""
Calculate current force on cylinder.
Morison equation: F = 0.5 * ρ * V² * Cd * D * L
Args:
velocity: Current velocity
diameter: Member diameter
length: Member length
cd: Drag coefficient
Returns:
Force in kN
"""
rho = 1025
F = 0.5 * rho * velocity**2 * cd * diameter * length
return F / 1000
3. Mooring Systems
Types:
- Catenary - Chain/wire, relies on weight for restoring force
- Taut - Polyester/steel wire, high pretension
- Semi-taut - Hybrid configuration
Design Standards:
- API RP 2SK - Stationkeeping Systems
- DNV-OS-E301 - Position Mooring
- ISO 19901-7 - Stationkeeping Systems
Safety Factors:
mooring_safety_factors:
intact:
uls: 1.67
als: 1.25
damaged:
uls: 1.25
als: 1.05
fatigue_design_factor: 10.0
4. Subsea Systems
Components:
- Subsea trees - Wellhead control
- Manifolds - Production gathering
- Flowlines - Fluid transport
- Risers - Platform connection
- Umbilicals - Control/power/chemical injection
Pipeline Design:
def pipeline_wall_thickness(
diameter: float,
pressure: float,
yield_stress: float,
design_factor: float = 0.72
) -> float:
"""
Calculate required pipeline wall thickness.
Barlow's formula: t = P*D / (2*σ*F)
Args:
diameter: Outer diameter
pressure: Design pressure
yield_stress: Material yield stress
design_factor: Design factor
Returns:
Wall thickness in mm
"""
t = (pressure * diameter) / (2 * yield_stress * design_factor)
corrosion_allowance = 3.0
t_total = t + corrosion_allowance
return t_total
5. Regulatory Framework
Classification Societies:
- DNV (Det Norske Veritas) - Norwegian
- ABS (American Bureau of Shipping) - American
- Lloyd's Register - British
- Bureau Veritas - French
Key Standards:
standards:
structural:
- DNV-OS-C101: Design of Offshore Steel Structures
- API RP 2A-WSD: Fixed Offshore Platforms
- ISO 19902: Fixed Steel Structures
floating:
- DNV-OS-C103: Floating Structures
- API RP 2FPS: Planning, Designing, Constructing Floating Production Systems
mooring:
- DNV-OS-E301: Position Mooring
- API RP 2SK: Stationkeeping Systems
- ISO 19901-7: Stationkeeping Systems
subsea:
- API 17D: Subsea Wellhead and Christmas Tree Equipment
- API 17J: Unbonded
6. Marine Operations
Installation Methods:
- Heavy Lift - Crane vessels for topsides
- Float-over - Deck floated over substructure
- Pipelaying - S-lay, J-lay, reel-lay methods
Weather Windows:
def calculate_weather_window(
sea_states: list,
operation_limit: dict,
duration_required: float
) -> list:
"""
Identify suitable weather windows for marine operations.
Args:
sea_states: List of sea state forecasts
operation_limit: Limits (Hs_max, Tp_range, current_max)
duration_required: Required continuous calm period
Returns:
List of suitable time windows
"""
windows = []
current_window_start = None
current_window_duration = 0
for i, state in enumerate(sea_states):
suitable = (
state['Hs'] <= operation_limit['Hs_max'] and
state['current'] <= operation_limit['current_max']
)
if suitable:
if current_window_start is None:
current_window_start = i
current_window_duration += state['time_step']
if current_window_duration >= duration_required:
windows.append({
'start': current_window_start,
'duration': current_window_duration,
'conditions': 'suitable'
})
else:
current_window_start = None
current_window_duration = 0
return windows
Practical Applications
Application 1: FPSO Preliminary Design
fpso_design:
vessel:
hull:
type: "conversion"
length_pp: 320
beam: 58
depth: 32
draft_design: 22
capacity:
oil_storage: 2000000
production: 100000
water_injection: 200000
topsides:
modules:
- production_manifold
- separation
- gas_compression
- water_injection
- utilities
weight: 25000
mooring:
type: "spread"
lines: 12
configuration: "3x4"
design_codes:
- ABS MODU
Application 2: Environmental Load Calculation
def calculate_total_environmental_load(
vessel_data: dict,
environment: dict
) -> dict:
"""
Calculate combined wind, wave, and current loads.
Args:
vessel_data: Vessel dimensions and coefficients
environment: Environmental parameters
Returns:
Total forces and moments
"""
import numpy as np
rho_air = 1.225
V_wind = environment['wind_speed']
A_projected = vessel_data['frontal_area']
Cd_wind = vessel_data['wind_drag_coef']
F_wind = 0.5 * rho_air * V_wind**2 * Cd_wind * A_projected / 1000
rho_water = 1025
Hs = environment['wave_Hs']
F_wave_drift = 0.5 * rho_water * 9.81 * Hs**2 * vessel_data['waterplane_area'] / 1000
V_current = environment['current_speed']
A_underwater = vessel_data['underwater_area']
Cd_current = vessel_data['current_drag_coef']
F_current = 0.5 * rho_water * V_current**2 * Cd_current * A_underwater / 1000
theta_wind = np.radians(environment['wind_direction'])
theta_wave = np.radians(environment['wave_direction'])
theta_current = np.radians(environment['current_direction'])
Fx = (F_wind * np.cos(theta_wind) +
F_wave_drift * np.cos(theta_wave) +
F_current * np.cos(theta_current))
Fy = (F_wind * np.sin(theta_wind) +
F_wave_drift * np.sin(theta_wave) +
F_current * np.sin(theta_current))
{
: Fx,
: Fy,
: np.sqrt(Fx** + Fy**),
: np.degrees(np.arctan2(Fy, Fx))
}
Key Calculations
1. Buoyancy and Stability
def calculate_metacentric_height(
displacement: float,
waterplane_area: float,
center_of_buoyancy_height: float,
center_of_gravity_height: float
) -> float:
"""
Calculate metacentric height (GM) for stability.
GM = KB + BM - KG
Where:
- KB = Center of buoyancy above keel
- BM = Metacentric radius = I/V
- KG = Center of gravity above keel
Args:
displacement: Vessel displacement
waterplane_area: Area at waterline
center_of_buoyancy_height: KB
center_of_gravity_height: KG
Returns:
Metacentric height in meters
"""
rho = 1.025
volume = displacement / rho
I = waterplane_area**1.5 / 12
BM = I / volume
GM = center_of_buoyancy_height + BM - center_of_gravity_height
return GM
2. Riser Stress
def calculate_riser_stress(
top_tension: float,
weight_per_length: float,
water_depth: float,
diameter: float,
wall_thickness: float
) -> dict:
"""
Calculate riser stresses.
Args:
top_tension: Top tension
weight_per_length: Riser weight in water
water_depth: Water depth
diameter: Outer diameter
wall_thickness: Wall thickness
Returns:
Stress components
"""
D_outer = diameter / 1000
D_inner = D_outer - 2 * wall_thickness / 1000
A = np.pi * (D_outer**2 - D_inner**2) / 4
w = weight_per_length * 9.81 / 1000
bottom_tension = top_tension - w * water_depth
sigma_axial_top = top_tension * 1000 / (A * 1e6)
sigma_axial_bottom = bottom_tension * 1000 / (A * 1e6)
return {
'top_stress_MPa': sigma_axial_top,
'bottom_stress_MPa': sigma_axial_bottom,
'bottom_tension_kN': bottom_tension
}
Design Process
Typical Project Phases:
-
Feasibility Study
- Concept selection
- Preliminary sizing
- Cost estimation
-
FEED (Front End Engineering Design)
- Detailed concept
- Specifications
- Major equipment selection
-
Detailed Engineering
- Construction drawings
- Procurement
- Fabrication specifications
-
Fabrication & Installation
- Yard fabrication
- Loadout and seafastening
- Offshore installation
-
Commissioning & Operations
- System testing
- Production startup
- Life of field operations
Resources
Use this skill for all marine and offshore engineering design decisions in DigitalModel!