Python

Coupled with the integrated architecture of tNavigator, Python becomes a powerful tool to connect multiple workflows across domains and empower the user in a way not possible in the past.

Each item in tNavigator’s list of operations available for workflows can be customized and modified into fit-for-purpose versions to suit your needs, using Python. In doing so, local and global variables can be utilized to couple your workflow with uncertainty studies or generate multiple versions of combinations of property/grid/schedule/PVT/case. 

Python can also be applied in post-processing & analysis to calculate new summary vectors (graphs) post model calculation and create customize visualized results to suit the users needs. This allows us to save time and stay flexible leveraging the power of python to customize visualized results to suit your needs. Additionally, when you have complicated well schedules where special conditions and dependencies are required to build your bespoke forecast schedule, you can add or modify any keyword available in the schedule section based on triggers and dependencies in real time. 

tNavigator comes with pre-coded solutions included to get your started and the list of available examples is constantly growing, developed in cooperation with our clients as we respond to their needs in customizing python for their solutions.