Abu Dhabi:AIQ, an industrial AI company based in Abu Dhabi, has announced the integration of Rock Flow Dynamics' tNavigator platform into its AI-native energy operating system, Genesis. The tNavigator platform provides a comprehensive suite of tools for subsurface operations, from seismic interpretation to surface network optimization.
According to Emirates News Agency, the announcement was made during ADIPEC 2026, where AIQ serves as the AI Co-Host. This collaboration marks a significant development in merging advanced engineering intelligence with enterprise-wide workflows across the energy value chain. The integration of tNavigator into Genesis aims to enhance the connectivity of intelligence across various workflows, disciplines, and enterprise decisions.
tNavigator is recognized for its integrated geoscience, modeling, and simulation capabilities, assisting geoscientists and engineers in making complex technical decisions. Saravan Penubarthi, Chief Technology Officer of AIQ, emphasized the traditional challenges in reservoir engineering, where multiple applications and datasets require manual coordination. Genesis, with tNavigator, seeks to overcome these challenges by integrating reservoir engineering and simulation.
Kirill Bogachev, Chief Technology Officer of Rock Flow Dynamics, highlighted the importance of openness and extensibility in their collaboration with AIQ, emphasizing the synergy between tNavigator's reservoir modeling and AIQ's AI-native environment. Amin Harby, Vice-President Middle East at RFD, noted that this integration places tNavigator's capabilities at the core of AI-enabled workflows, benefiting operators in the Middle East and globally.
This partnership enables the incorporation of subsurface workflows into broader AI-enabled processes, facilitating multidisciplinary engineering, field development planning, and operational decision-making. The integration supports AI-assisted subsurface workflows, AI-enabled seismic interpretation, and connected modeling and simulation workflows, improving collaboration and reducing manual handoffs in decision-making processes.