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Multisoft Virtual Academy presents Python Automation for OrcaFlex using OrcFxAPI Corporate Training, a specialized program crafted for professionals working in offshore engineering, marine simulations, and subsea system design. OrcaFlex is a leading tool for dynamic analysis of offshore structures, while Python, combined with OrcFxAPI, provides unmatched flexibility to automate, customize, and scale complex simulations.
This corporate training helps participants master the fundamentals of OrcFxAPI, scripting automation tasks, creating repeatable workflows, and integrating simulation data into Python for advanced analysis. Learners will explore how to minimize manual effort, reduce errors, and save time by automating routine processes such as model setup, simulation runs, and result extraction.
Through expert-led sessions, real-world case studies, and hands-on exercises, teams will gain practical knowledge to apply Python automation in live engineering scenarios. The course is tailored for engineering professionals, project managers, and organizations aiming to enhance efficiency in subsea modeling, offshore operations, and marine engineering projects.
By the end of this training, participants will not only master Python-based OrcaFlex automation but also boost their productivity, decision-making, and technical expertise, driving measurable value for their organizations.
Python Automation for OrcaFlex using OrcFxAPI Training is a specialized course that teaches professionals how to automate OrcaFlex simulations using Python scripting through the OrcFxAPI. It enables users to control, configure, and analyze complex offshore models programmatically. This training enhances productivity by eliminating manual tasks, streamlining simulation processes, and allowing for customized data handling, making it ideal for engineers in subsea and offshore simulation environments.
- Overview of OrcaFlex and OrcFxAPI
- Use cases for automation
- Python vs COM interface
- Python environment setup
- Importing OrcFxAPI and test script execution

- Installing Python and required packages
- Adding OrcFxAPI to system path
- Setting up Visual Studio Code / Jupyter for development
- OrcFxAPI module import and validation

- Structure of OrcFxAPI
- Models, objects, handles, and enumerations
- Using Model, Line, Vessel, Environment objects
- Object reference and interaction

- Instantiating a new model in Python
- Adding vessels, lines, winches, buoys
- Configuring seabed and environment
- Saving and loading .dat files

- Opening existing .dat files via script
- Reading and modifying model properties
- Navigating model objects dynamically
- Saving changes programmatically

- Introduction to OrcFxAPI enums
- Using .EnumValue() and .EnumString()
- Setting dropdown-like parameters via code
- Validating assigned properties

- Static and dynamic simulation options
- Defining wave, current, and wind conditions
- Simulation durations, time steps, and damping
- Automating restart analysis setup

- Performing Model.CalculateStatics()
- Executing Model.RunSimulation()
- Monitoring simulation status and outputs
- Batch simulation logic using for loops

- Reading time history data
- Accessing result statistics (e.g., max tension, min clearance)
- Saving simulation results to file formats (CSV, Excel)
- Basic visualization using Matplotlib

- Sampling rate configuration
- Plotting time series for tension, displacement
- Extracting results from multiple objects
- Storing and exporting result sets

- Looping through input parameter sets
- Reading inputs from Excel or JSON/YAML
- Automatically generating .dat files
- Creating batch folders for simulations

- Automating result comparison between cases
- Report generation in Excel or PDFs
- Visualization of trends (wave vs tension, depth vs force)
- Data aggregation scripts

- Common OrcFxAPI exceptions
- Try/except blocks for robust scripting
- Logging automation errors
- Debugging strategies with print/log files

- Multithreading and parallel simulations
- Using external DLLs/functions with Python
- Automating fatigue damage calculations
- GUI development using Tkinter for OrcaFlex tools

- Automating a complete OrcaFlex lifecycle:
- Model creation
- Simulation execution
- Result extraction and visualization
- Report generation
- Live coding walkthrough of a real case study

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Python Automation for OrcaFlex using OrcFxAPI Corporate Training Certification
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