Solution

Helicopter Operations Planning

Helicopter Operations Planning

Cutting Fuel Costs and Emissions in Peruvian Operations
Cutting Fuel Costs and Emissions in Peruvian Operations
Screenshot of computer simulation
Screenshot of computer simulation

Optimising complex rainforest flight operations - reducing fuel costs and emissions while keeping cargo and crew moves on track.

Client(s)

Repsol

Sector

Oil & Gas

Challenge

Logistics

Decision lens

Activity Planning

Product

AIS

Geography

South America

The challenge

The challenge

In the Peruvian rainforest, Repsol depends on helicopters to move both people and cargo to production sites and project locations. Each flight has to navigate a complex set of constraints: cargo size and weight, dedicated crew requirements, dependencies with fixed-wing flights and river barges, and maintenance windows.


Traditionally, flight planning was done manually and reactively. This limited visibility into trade-offs, created inefficiencies, and made it difficult to manage the added complexity of cargo handling. Fuel costs and emissions were higher than necessary, while planners struggled to test different scenarios quickly.

In the Peruvian rainforest, Repsol depends on helicopters to move both people and cargo to production sites and project locations. Each flight has to navigate a complex set of constraints: cargo size and weight, dedicated crew requirements, dependencies with fixed-wing flights and river barges, and maintenance windows.


Traditionally, flight planning was done manually and reactively. This limited visibility into trade-offs, created inefficiencies, and made it difficult to manage the added complexity of cargo handling. Fuel costs and emissions were higher than necessary, while planners struggled to test different scenarios quickly.

Solution

Dashboard with four panels: a map showing trips per location, a 14-day summary with efficiency, cost, requests, and flight hours, a bar chart of 14-day forecasted flight hours, and a bar chart of flight plans per event.
Dashboard with four panels: a map showing trips per location, a 14-day summary with efficiency, cost, requests, and flight hours, a bar chart of 14-day forecasted flight hours, and a bar chart of flight plans per event.
Dashboard with four panels: a map showing trips per location, a 14-day summary with efficiency, cost, requests, and flight hours, a bar chart of 14-day forecasted flight hours, and a bar chart of flight plans per event.

We developed an AI-assisted helicopter planning tool tailored to Repsol’s rainforest operations.


The tool automatically schedules flights across a 14-day horizon, factoring in all the real-world constraints:


  • cargo masters occupying a seat on every flight,

  • dangerous goods requiring offloading crews and lifting material,

  • dependencies with fixed-wing or river barge arrivals,

  • flexible execution windows around the requested start dates,

  • and rules for splitting or grouping requests.

Planners can also assign priorities, define maintenance windows, and run “what if” scenarios instantly.


The result is an integrated plan that optimises fuel use, seat utilisation, and cargo handling - while keeping planners in control through a transparent, user-friendly interface.

Results

20% savings in fuel cost and emissions

through optimised routing and scheduling.

Higher utilisation

better seat and cargo capacity use across all flights.

Faster planning

scenarios that once took days now generated in minutes.

Results

20% savings in fuel cost and emissions

through optimised routing and scheduling.

Higher utilisation

better seat and cargo capacity use across all flights.

Faster planning

scenarios that once took days now generated in minutes.

Results

20% savings in fuel cost and emissions

through optimised routing and scheduling.

Higher utilisation

better seat and cargo capacity use across all flights.

Faster planning

scenarios that once took days now generated in minutes.

Related solutions

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.