AVEVA's digitalisation solutions drive energy transition in GCC

AVEVA's innovative solutions transform legacy energy infrastructure, enabling GCC companies to optimise operations, reduce emissions, and build sustainable systems for a decarbonised future

- BY SREE BHAT

DIGITALISATION has become one of the most powerful enablers of the global energy transition, helping companies enhance efficiency, cut emissions, and transform traditional infrastructure for a more sustainable future.

In the Gulf, where energy security and decarbonisation are equally pressing priorities, these technologies are rapidly reshaping the sector.

Speaking exclusively to OGN energy magazine, Michele Cacciari, Global Head of Energy Industry at AVEVA, outlines how the company's solutions from the industry-leading PI System to advanced predictive analytics, and Unified Engineering are supporting regional energy players in accelerating their digital journey.

Below are excerpts from the interview:

Digitalisation is often cited as a key enabler of decarbonisation. How is AVEVA helping energy companies, particularly in the Gulf, to leverage digital tools to transform legacy infrastructure and meet ambitious sustainability goals?

Our portfolio can be thought of in three main areas: Data infrastructure, applications, and engineering tools.

The first is data infrastructure, where our PI System plays a fundamental role. We acquired PI a few years ago, and it has become the backbone of how we help customers.

Decarbonisation has two sides: Reducing emissions from today's energy system and building the energy system of the future.

To address the first, the starting point is always measurement. You cannot reduce what you cannot measure. With PI, companies can collect data, identify sources of emissions and energy use, and then manage, monitor, and calculate them in real time.

On top of this infrastructure, we have a layer of applications. Three stand out in terms of immediate value for emissions reduction: Predictive analytics, process optimisation, and planning and scheduling. Predictive analytics and process optimisation, once considered in isolation, are now being combined.