AI and ML

Unlock new possibilities and enhance efficiency by leveraging Python’s power to interact seamlessly with tNavigator in any way imaginable. The API provides a programmable interface to automate workflows, manipulate simulation models, run simulations, and extract or analyze results — all through Python. The tNavigator Python API integrates seamlessly with existing data workflows, enabling direct interaction with production databases, real-time data streams, and analytics tools. It supports automated simulation runs, model updates, and custom processing using Python. This allows reservoir engineers and data teams to build dynamic, scalable workflows for forecasting, optimization, and continuous model calibration.

tNavigator empowers smart, connected oilfields through its tNavigator Digital Asset capabilities. By integrating real-time data, advanced analytics, and predictive modeling, it enables proactive, data-driven decisions across the asset lifecycle. The Python API acts as a key enabler, connecting models with live data streams, automating workflows, and supporting integration with dashboards and tools like Power BI for real-time visualization and insights. For more details see here.

tNavigator acts as a gateway to advanced subsurface AI, combining built-in machine learning, neural networks, and AI tools into traditional reservoir workflows. From seismic interpretation and static modeling to assisted history matching, users can apply existing in-house capabilities. Additionally, its seamless interface with python allows users to leverage state-of-the-art open-source libraries from python or GitHub within the tNavigator environment. This enables rapid deployment of custom AI models and accelerates data –driven reservoir insights

Whether automating processes, integrating external data, or developing unique reservoir engineering solutions, our advanced artificial intelligence and machine learning techniques allow users to enhance workflows and tailor tNavigator processes to their specific needs.

Additionally, our embedded AI Assistant enhances user experience by providing contextual help, keyword definitions, and workflow guidance using natural language. Integrated into the GUI, it supports modules like Model Designer, Geology Designer and PVT Designer. Beyond basic assistance, it helps speed up model setup, troubleshoot errors, and guide users through complex tasks—making it especially valuable for newcomers and a productivity booster for experienced users navigating detailed reservoir workflows.