Oil, gas and LNG operations are vast, capital-intensive and unforgiving of downtime. Stochastix simulates and optimises production, turnarounds and offshore logistics, from the wellhead to the LNG train, so you lift uptime and cut cost without compromising safety.
LNG trains, platforms and processing plants are so large that a single point of uptime is worth millions, and the real bottleneck is rarely where it seems.
Reservoir behaviour, weather and equipment reliability make throughput uncertain across the whole chain, from wells to export.
Major TARs compress thousands of tasks, crews and contractors into a tight window, and every day of overrun is enormously expensive.
Supply vessels, helicopters, materials and personnel-on-board limits all have to line up to keep remote facilities running.
Simulation, optimisation and forecasting delivered as decision tools and live operational dashboards.
Discrete-event digital twins of processing trains, platforms and LNG facilities to find debottlenecks and test uptime, capacity and design changes before you commit.
Optimise shutdown scheduling, resourcing and maintenance to cut TAR duration and cost, while protecting safety and scope.
Optimise supply vessels, helicopters, materials and inventory to remote and offshore operations, cutting cost and sailings.
Worked examples of how we approach oil, gas and LNG problems, and the decision each one informs.
A full-facility discrete-event model of an LNG operation often finds the binding constraint is storage and loading availability, not the trains, so a planned expansion can be redirected to where it counts.
Optimising the schedule, sequencing and resourcing of a major shutdown across thousands of tasks and competing crews and contractors compresses the critical path safely.
Optimising marine supply runs, vessel rosters and load plans to a cluster of offshore facilities cuts cost while maintaining service to every platform.
Tell us about the facility, the constraint and the target. We'll tell you honestly whether a model will help, and how we'd build it.
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