Case Study

Digital Twin in the Caspian Sea

Through our solution we support the operations to exploit the largest oil field discovered in the last 40 years

Where: kazakhstan
Challenge
Our stakeholder is a special purpose company for the development and exploitation of the largest oil field discovered in the last 40 years. The oil field is located in the middle of the North East Caspian Basin in Kazakhstan.
Approach
Developing this field presents enormous technical challenges: the field is located in an area with a water depth of 3m, extreme weather events, water surge events in a context of continuous water drop, with a high presence of H2S in a very unique environmental environment. Since 2006, an archipelago of 10 artificial islands has been built and according to some sources, the cost of the project is one of the most expensive in human history. Many more islands need to be built to maximize revenue and reduce opex. It is a race against time, as the sea is drying up at an observed rate of 10 cm per year, so much so that within 15-20 years it is estimated that it will no longer be navigable by marine vessels, thus making it impossible to reach.
Solution
We at Engineering were called in to create a simulation model that faithfully replicates the entire supply chain, allowing to determine the optimum size of the fleet of vessels and equipment needed to logistically support the construction and drilling operations in this battle against time. The extreme flexibility of the solution created will allow to evaluate in advance the advantages and disadvantages of the various alternatives, enabling to test even the extreme events in order to choose the most resilient logistical configuration at the lowest possible cost.
Results

 

 

 

 

Optimisation of time and costs

 

 

Extreme flexibility of the solution

Technologies

To know more

The Meter-to-Cash of Gelsia evolves with the Cloud

We realized a new Meter-to-Cash system that enables the rapid adaptation of electricity and gas sales services to business needs by extending Neta platform on Cloud Oracle.

Evolution of systems supporting Refineries and Depots: toward a regenerative model

The capabilities transformation program to support refinery and depot maintenance processes in GTR&M: real digital process transformation.

Research Project

Circular TwAIn - AI for Recycling, Reusing and Remanufacturing

An AI platform to increase the performance, resilience, and sustainability of direct manufacturing and process industries, promoting circular economy.