Norwegian oil and gas company Equinor has entered into a multi-year agreement with Seeq to enhance digital transformation using the latter's analytics and AI platform.
Under the multi-year agreement, Equinor will utilise Seeq Industrial Analytics and AI platform to enhance efficiency and maximise production across its assets globally.
The adoption of Seeq's platform by Equinor is set to empower engineering teams to optimise production and improve energy efficiency across various assets.
Initially focusing on monitoring well and process behaviour, the goal is to gain insights into daily operations, which will help in maximising production, enhancing collaboration, and increasing overall efficiency.
Seeq CEO Dr. Lisa Graham said: "Innovative energy organisations like Equinor want to leverage interoperable systems that utilize collective knowledge to accelerate value.
"Seeq is honored to provide our open, industrial analytics and AI SaaS platform to Equinor to drive rapid, enterprise-wide digital transformation outcomes."
Seeq said its platform brings to the table a self-service, industrial analytics and AI capability that taps into vast amounts of data that have historically been underutilised.
By integrating AI, machine learning, and other advanced technologies, Seeq’s platform supports a wide array of use cases, driving operational excellence, profitability, employee upskilling, and sustainability.
Amitec, a Seeq-certified partner based in Norway, will support the deployment and help Equinor realise the full potential of the Seeq platform.
Recently, Equinor and its partners decided to make investment of $1.13bn in the North Sea Troll gas field to boost production.
Equinor operates the field with 30.58% stake. Other partners include Petoro at 56%, Shell at 8.10%, TotalEnergies EP Norge at 3.69% and ConocoPhillips Skandinavia at 1.62%.
As per the plan, the second stage of the Troll Phase 3 project will involve the drilling of eight new wells from two new templates, with subsea controls extended from existing templates.
