SLB N : to Acquire Tachyus

SLB has entered into an agreement to acquire Tachyus Corp., a Houston-based technology company specializing in high-speed reservoir modeling and optimization. The proposed acquisition strengthens SLB's digital portfolio with differentiated physics-based reservoir modeling capabilities that enable faster reservoir management decisions to maximize recovery. It also helps bridge development planning and production execution across complex and mature assets.

"Reservoir management is becoming increasingly dynamic as operators look to maximize recovery from existing assets," said Rakesh Jaggi, president of SLB's Digital business. "The addition of Tachyus will strengthen our ability to deliver operational reservoir management workflows that help customers manage and optimize complex enhanced oil recovery schemes."

As operators work to maximize recovery from existing assets and improve operational efficiency, demand is increasing for technologies that support continuous reservoir management. While traditional high-fidelity reservoir simulators support strategic field development decisions to optimize recovery, Tachyus technologies enable operators to make more tactical decisions in response to changing operational conditions. The technologies can evaluate thousands of reservoir scenarios in minutes, enabling reservoir and production teams to adjust field strategies based on current asset performance while maintaining alignment with longer-term development plans.

Tachyus develops software that combines machine learning with reservoir physics to model reservoir behavior under different operating conditions. Its Aqueon™ platform has been deployed across more than 7,500 wells globally, supporting waterflood management, pressure forecasting, production optimization, saltwater disposal optimization for unconventional operations, and enhanced oil recovery (EOR) operations.

Following the closing of the transaction, SLB plans to integrate Tachyus technology into its Delfi™ digital platform and Lumi™ data and AI platform, enabling closed-loop reservoir and production management workflows.

The acquisition will further strengthen SLB's capabilities in AI-driven reservoir modeling through data and physics-based models that continuously adapt to evolving reservoir behavior. It will also bring additional reservoir engineering, data science and software development expertise into SLB's digital organization.

The transaction is expected to close shortly after signing, subject to satisfaction of customary conditions.