Decision-support analysis used to guide long-term planning by water utilities, mine operators, and industrial site managers
INTERA leads in designing efficient, decision-focused modeling solutions for resource managers, advancing how modeling tools and science inform decision-making. Collaborating with research organizations and universities, INTERA offers cost-effective innovations such as predictive uncertainty quantification, global sensitivity analyses, ensemble-based data assimilation, and management optimization tools.
Recognizing the need for cost-effective, transparent, and reproducible groundwater modeling, INTERA has developed automated workflow processes and strict version control to ensure transparency and reproducibility. These methods cover model construction, implementation, and advanced analysis post-processing, providing resource managers and stakeholders with a clear view of all design decisions and assumptions.
With these advancements, INTERA delivers unparalleled technical rigor and cost-effective analyses.
Uncertainty Analysis and Predictive Analytics
The Value of Uncertainty Analysis
Mining companies are understanding the importance of using decision support tools, such as uncertainty analysis, to reduce water-related risks and inform decision-making from the earliest stages of mine development through to site closure. INTERA’s groundwater modeling and uncertainty analysis team was able to prioritize our client’s drilling program and potentially save up to $10 million in well installation costs, while effectively maximizing the reduction in uncertainty associated with optimized well locations.
The application of predictive analytics on this project is depicted in the above plot. Each dot represents a unique configuration of future monitoring well locations that leads to a reduction in uncertainty in a quantity of interest (in this case, inflow to underground workings). The number and location of future monitoring wells are optimized to produce a clear trade-off between the cost of installing wells and the reduction in uncertainty.
How Groundwater Models Support Decision Making Under Uncertainty
