TotalEnergies and Emerson Partner to Enhance Industrial Data Utilization and AI Integration

TotalEnergies and Emerson Collaborate on Industrial Data Solutions



In a significant move towards improving operational efficiency and environmental sustainability, TotalEnergies and Emerson have forged a strategic partnership aimed at deploying cutting-edge digital technologies across TotalEnergies' global industrial sites. This collaboration, announced recently, focuses on the continuous and real-time collection of industrial data, leveraging advanced analytics and artificial intelligence (AI) to optimize performance on various fronts.

The Vision Behind the Collaboration



The objective of this partnership is twofold: first, to enhance decision-making processes through data analytics; and second, to optimize energy consumption while bolstering environmental performance. By harnessing vast amounts of data generated across their operational sites, TotalEnergies seeks to implement smarter solutions that align with their commitment to providing reliable and sustainable energy.

Namita Shah, President of OneTech at TotalEnergies, emphasized the importance of digital technology in their transformation journey: "At TotalEnergies, digital technology is crucial for our shift towards a more sustainable and efficient energy future. Our collaboration with Emerson showcases how advanced technologies can optimize operations and reduce emissions while creating long-term value."

Implementation of Emerson's Digital Technologies



Under the collaboration's framework, TotalEnergies plans to deploy Emerson's AspenTech Inmation™ technology throughout its industrial facilities. This advanced data fabric will enable the continuous collection and centralization of millions of real-time data points from various operations, facilitating secure, unified access across the organization.

In addition to Inmation technology, the partnership will incorporate Emerson's sophisticated process control solutions, paving the way for TotalEnergies to effectively implement AI-driven use cases. This digital infrastructure is designed to enhance various operational aspects, including:
  • - Accelerating the detection of anomalies and performance deterioration
  • - Optimizing energy consumption across sites
  • - Improving operational safety protocols
  • - Accelerating the integration of AI into industrial processes

The Path Forward



The rollout of these digital technologies is slated to take place over the next two years, aligning with TotalEnergies' broader ambitions to maximize the potential of its industrial data. With a planned emphasis on ESG (Environmental, Social, and Governance) principles, the initiative aims to drive both operational excellence and sustainability.

Vincent Servello, President of Emerson's Aspen Technology division, highlighted the longstanding relationship between the two companies, stating, "Emerson has partnered with TotalEnergies for almost three decades, and we are excited to extend our collaboration. Our digital technologies are tailored to support their operational and sustainability goals. The marriage of AI with our industrial data solutions will expedite TotalEnergies' mission."

About TotalEnergies and Emerson



TotalEnergies is a global energy leader with operations spanning across more than 120 countries. It specializes in oil, natural gas, biofuels, renewables, and electricity, employing over 100,000 individuals committed to delivering energy solutions that are not just reliable but also affordable and sustainable.

On the other hand, Emerson, a key player in the industrial technology sector, focuses on providing advanced automation solutions. Its extensive portfolio encompasses intelligent devices and systems designed to enhance the efficiency of operational processes.

As this partnership unfolds, it signals a promising era for industrial data utilization within the energy sector, illustrating the transformative potential of combining AI and data-driven decision-making in enhancing both performance and sustainability.

Topics Business Technology)

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