SLB announced it is acquiring Houston-based artificial intelligence (AI) company Tachyus for an undisclosed sum. The oilfield service company said the deal will enhance its digital portfolio with physics-based reservoir modeling capabilities.
SLB added that the technology it is acquiring will connect development planning offerings to production execution across complex and mature assets.
“Reservoir management is becoming increasingly dynamic as operators look to maximize recovery from existing assets,” Rakesh Jaggi, president of SLB’s digital business unit, said in a statement. “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.”
SLB said in its announcement that oil and gas companies are increasingly seeking to maximize recovery from existing assets, which is driving demand for technologies built for continuous reservoir management.
Traditional reservoir simulators support field development decisions, but SLB said Tachyus offers tools that enable more precise decision-making under changing operational conditions.
This includes evaluating thousands of reservoir scenarios within minutes, which can help reservoir and production engineers adjust plans in line with long-term development objectives.
Tachyus’ flagship AI and machine learning platform has already been applied to more than 7,500 wells worldwide to model waterflooding, generate pressure forecasts, optimize production, support saltwater disposal in unconventional development, and enhance oil recovery projects.
Founded in 2014, Tachyus lists ConocoPhillips, Shell, Equinor, and Petroleum Development Oman among its current customers. Former SLB executive and 2014 SPE President Jeff Spath was appointed chairman of the board in January 2025.
SLB said it plans to integrate the Tachyus technology into its existing Delfi platform along with its Lumi data and AI service to enable seamless reservoir and production management workflows.
The transaction is expected to close shortly after signing, subject to customary conditions.
