25.3 Release Now Available!
tNavigator is a state-of-the-art reservoir modelling and simulation platform, offering a wide range of advanced innovative tools for geoscience, reservoir and production engineering disciplines.
Welcome to tNavigator by Rock Flow Dynamics, where cutting-edge technology meets the energy industry’s toughest challenges. tNavigator is the ultimate all-in-one solution for reservoir management, seamlessly integrating every stage of your project from seismic interpretation to surface network optimisation, in one sophisticated package.
Promoting cross-domain collaboration, we make complex workflows faster and smarter. Stay ahead of the game with technology that is designed around superior performance, intuitive design, and incorporating the industry’s most advanced modelling tools. Unlock New Possibilities!
At Rock Flow Dynamics, we’re not just shaping the future of oil and gas—we’re pioneering technology for the next era of energy. tNavigator is evolving to support carbon capture and storage (CCS/CCUS), hydrogen storage, geothermal energy, wind farm optimisation and mining delivering the same high-performance simulation and integration capabilities that have made us an industry leader. From modelling subsurface CO₂ injection to optimising hydrogen storage reservoirs and simulating geothermal flow dynamics, our technology empowers innovators to develop sustainable energy solutions with confidence and precision. The energy transition demands intelligence, and we’re building the technology to lead the way.
“tNavigator provides a highly intuitive and efficient working environment that can be learned quickly. It allows multiple scenarios to be run in parallel, with results that can be easily analysed, compared, and tuned for subsequent iterations. This iterative capability is particularly valuable for CCS projects, where reservoir behaviour, injectivity, and surface constraints must be evaluated together in an integrated manner.
Most importantly, the support team has been outstanding. Their availability and willingness to help, ranging from software functionality to custom coding for tailored outputs all made a real difference in improving model tuning and overall history-matching quality. Their support significantly enhanced the efficiency and reliability of the project workflow.”
