Weather Risk Intelligence
for Offshore Projects
How weather intelligence integrates directly into Oracle Primavera Cloud and Safran Risk to quantify, model, and manage offshore weather exposure.
Watch the Full Session
A hands-on technical demonstration of weather intelligence for offshore project controls.
Weather isn't a contingency.
It's a quantifiable risk.
Offshore projects face relentless weather exposure. Wind, waves, temperature, swell — every variable affects timelines, costs, and safety.
Traditional planning methods treat weather as a vague line item. The result? Unrealistic schedules, blown budgets, and operational delays that could have been quantified and managed.
What You'll Learn
Four practical demonstrations showing how weather data integrates into your existing offshore project controls workflow.
Create Weather Rules
Define activity-specific thresholds for your offshore operations. Wind speed limits for crane lifts. Wave height restrictions for marine installation. Temperature constraints for concrete pours. Turn operational constraints into quantifiable data.
Generate Probabilistic Calendars
Transform weather rules into probabilistic calendars that import directly into Safran and OPC. Model realistic weather downtime across months and years — data-driven risk quantification using 45 years of validated climate data.
Leverage API Integration
See how OPC's API enables seamless weather data flow into your project controls environment. Automate calendar updates. Integrate risk analysis. Connect weather intelligence to your existing workflows without manual data entry.
Offshore Demonstration
Walk through a real project example: subsea cable installations, wind farm construction, marine infrastructure. See how contractors use probabilistic weather modelling to protect margins and improve schedule certainty.
Strategic Partnership
WeatherWise x Proove
Combining weather risk intelligence with world-class Oracle Primavera expertise to deliver integrated project controls for offshore programmes.
Proove
Project Controls Consultancy
Proove is a specialist data analysis and project controls consultancy headquartered in Berchem, Belgium, with offices in Paris and Lisbon. They deliver operational staffing, expert advisory, training, and technology implementation for large-scale infrastructure and construction programmes across Europe.
As an Oracle Primavera specialist, Proove has delivered Oracle Primavera Cloud implementations on major projects including ITER — one of the world’s largest scientific megaprojects. Their Proove Academy provides Primavera P6 training to project controls professionals across the industry.
Why This Partnership Matters
WeatherWise probabilistic calendars feed directly into Oracle Primavera Cloud and Safran Risk — the tools Proove’s clients already use daily.
Proove’s QSRA expertise combined with WeatherWise’s 45+ years of climate data creates auditable, data-driven weather risk models for major offshore programmes.
From ITER to offshore wind farms, both teams bring hands-on experience delivering project controls on the most complex, weather-exposed programmes in the world.
Proove embeds project controls engineers directly into client teams. Combined with WeatherWise, they deliver weather-aware scheduling from day one.
From the Session
Questions from Offshore Specialists
Marine planners, QSRA leads, and offshore engineers brought the hard questions. Here's a sample of what was covered.
"Given a sequence of activities where workability depends on combinations of wave height, direction, period, and vessel heading — how are these linked limits combined into a workability percentage?"
"Can lay route direction be taken into account? If pipeline installation changes heading and wave direction materially affects workability, can this be integrated?"
"Is the application able to manage operations that cannot be interrupted? Can abandonment and recovery time be accounted for, including storm-riding scenarios?"
"When weather risk is included in the Monte Carlo analysis, does the model apply the same weather condition across all locations at a given moment?"
"For the Monte Carlo simulation, how many iterations are performed? Is the simulation based on a convergence criterion?"
"Where does the historical weather data originate? Can historical data be replaced or modified using local engineering models?"
The cost of operating a deepwater offshore vessel. Every unplanned weather delay translates directly into significant financial loss.
WeatherWise uses ECMWF ERA5 reanalysis datasets at hourly resolution to generate probabilistic weather calendars — not guesswork.
Who Should Watch
Working on offshore wind, marine, or coastal infrastructure
Conducting QSRA for offshore operations
Using Safran or OPC who need realistic weather modelling
Managing weather-exposed contracts
Anyone responsible for offshore project delivery in increasingly volatile conditions
Questions & Answers
Real questions from marine planners, QSRA leads, and offshore engineers — answered during the live session.
How many activity categories can be assigned to a single task?▾
Simulation Engineer
Each activity within WeatherWise is configured with its own set of weather thresholds. Where a task requires materially different operating limits (e.g., multiple vessel types with different tolerances), best practice is to split the task into logical sub-activities. Each sub-activity can then be assigned its own threshold configuration, ensuring modelling accuracy and defensible probabilistic outputs.How are combined weather parameters (wave height, direction, period, vessel heading) modelled into workability?▾
Marine Operations Engineer
WeatherWise allows multiple weather variables to be combined within a single activity rule. Thresholds can include wind speed, wind direction, wave height, wave period, temperature, rainfall, visibility, and more. The system evaluates all configured thresholds simultaneously. If any defined limit is exceeded, that time period is classified as non-workable. Monte Carlo simulation is then applied across 45+ years of hourly historical data to generate deterministic calendars and probabilistic delay distributions.How many Monte Carlo iterations are performed? Is the simulation based on a convergence criterion?▾
Simulation Engineer
WeatherWise performs Monte Carlo simulations using 45+ years of hourly historical weather data. The number of iterations is set at a level sufficient to stabilise percentile outputs (P10–P99). Convergence checks ensure statistical robustness and repeatability. The modelling incorporates Markov Chains to capture realistic day-to-day weather dependencies, as well as Extreme Value Theory for rare, high-impact events. Outputs include delay distributions, P-level completion dates, and probabilistic risk calendars suitable for QSRA integration.Does the model apply the same weather condition across all locations at a given moment?▾
Risk Modelling Analyst
No. WeatherWise uses high-resolution ERA5 and ERA5-Land datasets, meaning each coordinate is modelled independently. Weather conditions are spatially specific and are not applied uniformly across multiple locations. This ensures realistic modelling for geographically distributed assets.Can lay route direction be taken into account for pipeline installation?▾
Offshore Installation Planner
Yes. Multiple locations can be modelled within the same project. Where directional exposure materially impacts operability (e.g., west-facing versus east-facing exposure), best practice is to segment the route into logical sections and assign appropriate directional thresholds to each segment. This maintains modelling precision while reflecting real operational constraints.Can the application manage non-interruptible operations with abandonment and storm-riding scenarios?▾
Offshore Installation Planner
Currently, deterministic outputs model full-day impacts and probabilistic outputs provide delay distributions. Advanced weather window logic for non-interruptible operations is under continued development. Users can model conservative and optimistic scenarios by adjusting thresholds or splitting activities into phases. Storm-riding scenarios can be approximated using separate activity categories with different trigger thresholds to represent partial and full abandonment logic.Can work and non-work hours be displayed with greater granularity in P6?▾
Risk Modelling Analyst
WeatherWise exports deterministic and probabilistic calendars compatible with Primavera P6, Asta, Safran, Oracle Primavera Cloud, and other tools. While the underlying data is hourly, current scheduling exports are primarily day-based. Granularity in P6 depends on how calendars are configured within the planning tool.If the project start date changes, do calendars need to be rebuilt?▾
Project Logistics Manager
No. Calendars are generated based on weather thresholds and project duration. If the start date shifts but thresholds, location, and contract logic remain unchanged, the calendars do not need to be recreated. Reconfiguration is only required where core modelling assumptions change.Are activities and probabilistic calendars synchronised with planning tools in real time via API?▾
Data Integration Specialist
WeatherWise integrates with major planning and risk tools including Primavera P6, Asta, Safran Risk, and Oracle Primavera Cloud. Oracle Primavera Cloud currently supports API-enabled integration. Other integrations operate via structured import/export workflows, with further automation under development.Where does the historical weather data originate? Can it be replaced with local engineering models?▾
Data Integration Specialist
WeatherWise uses ECMWF ERA5 and ERA5-Land reanalysis datasets, covering 1979 to present at hourly resolution. These datasets provide globally consistent and auditable weather modelling. To preserve defensibility and statistical integrity, ERA5 remains the core dataset within the standard platform. However, bespoke configurations and synthetic variable development can be supported under enterprise arrangements where specialist local inputs are required.Ready to quantify offshore weather risk?
See how WeatherWise integrates with your scheduling and risk tools to turn weather uncertainty into defensible, data-driven project controls.