Tachyus in the News

Tachyus announced today a contract with Greylock Energy (Greylock) for Aurion, its cloud-scalable, comprehensive GHG emissions management and forecasting platform.

Tachyus announced an agreement with Seneca Resources Company, LLC (Seneca) to deploy Aurion, its cloud-scalable, comprehensive GHG emissions management platform.

Tachyus announced a contract today with Lime Rock Resources (Lime Rock) for Aurion, its cloud-scalable, comprehensive GHG emissions management platform.

Allocation of production/injection in multilayered fields is a critical task and whether it is reservoir simulation, accounting, and production reporting to authorities, reserves estimation or injection conformance.

Butler-Cohen's implementation of Aurion will help the design and construction company establish a GHG baseline, estimate, forecast, and report.

ConocoPhillips will add Aqueon to its global reservoir engineering workflows to advance physics-driven data analytics solutions and support waterflood management and optimization.

Working together with our partner SK Oilfield, Tachyus and ONGC will be using Aqueon and Subsurface Back allocation modules in an on-premise deployment.

Kinetik, the largest midstream operator in the Delaware Basin, and Tachyus Corporation, a leader in digital transformation, today announced an agreement to implement Aurion.

This collaboration will deliver rapid insights for customers by linking the Agora and Prod Ops with Tachyus’ AI-based Aqueon waterflood management and optimization application.

Today Pan American Energy Group (PAEG) and Tachyus announced the signature of an agreement to extend the use of Data Physics, a technology developed by Tachyus, to optimize the oil production of PAE assets in Argentina.

The partnership between the software company and Texas A&M’s Department of Petroleum Engineering provides students with access to software that can enhance reservoir research with machine learning.

Tachyus’ software products allow geoscientists and reservoir engineers to interpret the deluge of data collected from sensors and monitors in the oilfield at a fraction of the time it would normally take.