How does artificial intelligence help achieve sustainable development?

From chemicals to energy, artificial intelligence (AI) has shown the extent to which it can help achieve global sustainable development goals in different industrial sectors. One example is Petroliam Nasional Berhad (PETRONAS), which has committed to achieving net-zero carbon emissions by 2050. For a Malaysian oil and gas multinational, plant reliability is key to achieving its sustainability goals.

Petronas believes early insights into impending equipment failures will enable plant operators to prevent small issues from becoming big ones Proactively repair equipment. They demonstrated this concept with an enterprise cloud pilot project on Microsoft Azure that included four upstream and two downstream units.

Using AVEVA Predictive Analytics, an AI power solution for predictive maintenance that requires no programming, the pilot implementation accurately predicted failures so Petronas was able to address issues in advance.

With more than 200 models deployed in its first year—a scale that exceeds what human analysts can achieve—the solution correctly identified 51 major warnings. Along the way, it realized $17.4 million in value, a 14x return on investment. Of the 51 warnings, 12 were high-impact events. Addressing these issues before actual failures can reduce unplanned downtime, reduce waste and inefficiencies, and save Petronas millions of dollars.

In addition to streamlining day-to-day operations and scheduled maintenance cycles, several measures help reduce critical rotating equipment failures and downtime, thereby increasing reliability through proactive asset monitoring and maintenance.

For example, an alert about a liquid separator instrument failure helped the PETRONAS team save $222,000 in impending asset failure and wasted material. Not only are maintenance costs reduced, but avoiding equipment failures and unplanned downtime helps improve safety records and create a safer workplace.

The solution is now being rolled out to 10 more factories, with a total of 150 sets of equipment. Mohd Nazrin Zaini, custodian of PETRONAS rotating equipment, said rapid value addition has a faster impact on the company's sustainability goals.

This experience shows that the momentum around green industrial solutions has grown in recent years as more organizations realize that sustainability is good for business. The impact of the epidemic, coupled with increasing pressure from consumers and regulators, is also forcing companies to integrate sustainability into the business ecosystem and adopt strategies that benefit people and the planet.

Although artificial intelligence has been the most talked about new business technology trend, humans have only scratched the surface of its vast potential. As the science matures, enterprises will continue to embed AI-based solutions across their operational value chains to streamline operations, reduce costs, improve efficiency and enhance resiliency. Gartner predicts that global artificial intelligence software revenue will total $62.5 billion in 2022, a 21.3% increase from 2021.

As science advances, artificial intelligence will now provide industrial companies with greater opportunities for efficiency, innovation, and growth. Let’s take a look.

Artificial intelligence will become deeper and broader

From machine learning to natural language processing, artificial intelligence is an umbrella term that includes many cognitive abilities applied in various ways. Now, different types of artificial intelligence are combined in a software environment to provide more powerful solutions. These sub-areas - each a unique technology - will be deployed together to enhance organizational capabilities and increase business value.

For example, in predictive asset optimization, we are seeing cutting-edge analytics that combine artificial intelligence and physics-based simulation to predict potential asset failures while providing a set of Optimize actions to reduce losses. Therefore, machine downtime and production losses can be eliminated. Over time, these applications will drive the development of self-healing autonomous machines and potentially save large industrial companies hundreds of millions of dollars.

Artificial intelligence will expand and change human capabilities

Artificial intelligence systems have been recognized as natural partners of human intelligence. We will see this synergy come into play in the coming years as the world embraces the concepts behind Industry 5.0. AI models already support human decision-making with data-led insights that can improve value and sustainability—what AVEVA calls Performance Intelligence.

Now, computers are taking on more of the heavy lifting, even performing detailed analysis for their human colleagues. We can expect AI systems to now make humans better at what they do. Repetitive tasks have been automated. The next step is to reduce errors by improving decision parameters and increasing efficiency.

Artificial intelligence will expand the scope of our work, empowering us to achieve greater goals faster by providing us with complex, actionable guidance, enhancing our insights and capabilities along the way.

Bias will be identified and eliminated

In a world where artificial intelligence develops, as humans delegate more and more jobs to machines, businesses will need to think about the data they are collecting, and how intelligent models reflect real-world biases. Applying artificial intelligence to biased data can lead to or even amplify the impact of inappropriate and unfair decisions. As regulators begin to take note of these technological biases, businesses will begin to adopt responsible AI solutions built on principles such as fairness and transparency, thereby using comprehensive and inclusive data sets and improving corporate governance.

AVEVA is working on a project in which physics-based simulation combined with AI data models can be used to mitigate AI bias in industry. By introducing simulated real-world processes and pseudo-sensors into AI models, we can significantly improve results in terms of predictive accuracy and bias reduction.

Artificial intelligence will change the way we live and work

The science of artificial intelligence is still in its infancy, but it has the potential to change the world as we know it. As it shapes every aspect of the value chain, from industrial practices to environmental outcomes, AI is likely to have a much greater impact on the business world than we have seen with previous technologies. We are only at the beginning of the artificial intelligence industrial revolution.

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