Small utilities with lean teams rely heavily on operational knowledge, yet that knowledge often lives with experienced operators rather than in a database.
A veteran operator knows which valve to turn during a midnight main break, which pressure zone requires special attention, and how the network behaves under stress. When they leave, years of practical expertise leave with them. Even experienced operators face a learning curve when moving to a new utility, as every water network has its own assets, operational nuances, and behaviors.
THE CHALLENGE
Douglas County Rural Water Districts #1 and #4 in Kansas faced this challenge when Tim Silvers, District Operations Manager, transitioned from RWD4 to RWD1. The districts needed to preserve operational knowledge, while Silvers needed to quickly gain confidence in managing an unfamiliar network.
At RWD4, Silvers managed a network covering approximately 70 square miles. His deep understanding of the system came from years of field experience, including asset locations, pressure behavior, and day-to-day operational challenges.
To improve visibility and shift operations from reactive to proactive, the district had adopted a digital twin platform. When Silvers moved to RWD1, that experience proved invaluable. Rather than relying on paper maps, institutional memory, or trial and error, he was able to visualise and understand the new network immediately, maintaining high service levels from the outset.
The transition became a practical example of how digital tools can reduce the disruption and uncertainty that often accompany workforce changes.
THE SOLUTION
Qatium helped bridge the knowledge gap by providing a digital representation of the RWD1 network, allowing Silvers to understand how the system operated without starting from scratch.
Instead of spending months becoming familiar with the network, he could quickly explore assets, operational behavior, and system performance through the platform. While the two districts managed different networks, the digital workflows remained consistent, enabling Silvers to apply the same data-driven approach in his new role and become productive much faster.
The transition demonstrated that a digital twin can do more than improve day-to-day operations, it can preserve operational knowledge and make expertise transferable across utilities.
Project Snapshot
RWD1
- Population served: ~1,400 residents
- Service area: rural residents in Douglas County
RWD4
- Population served: ~3,000 residents
- Service area: 70 sq mi (≈181 km²)
RESULTS
Today, RWD1 has moved beyond learning the platform and has embedded digital workflows into its daily operations. The digital twin now supports:
- Turning field experience into accessible operational intelligence that stays with the district when experts leave
- Replacing static, paper-based records to near real-time insights that influence chemical deliveries and peak usage tracking.
- Integrating GIS, operational, and field data to support better planning decisions
- Simulate main break repairs and evaluate the impact of new developments on customer pressure.
- Understanding how the system performs during peak demand and operational events
- The result is a district that spends less time reacting and more time operating in a proactive environment where decisions are made more confidently, consistently, and precisely.
- As a result, the district spends less time reacting to issues and more time making proactive, data-driven decisions with greater confidence and consistency.
Perhaps the most important outcome is that digital transformation has become part of everyday operations rather than a one-time project. By bringing his experience with Qatium from RWD4 to RWD1, Silvers demonstrated that digital expertise can move with operators, making transitions smoother and reducing the risk of knowledge loss.
RWD1’s experience also shows that advanced operational intelligence is not limited to large utilities with dedicated innovation teams or significant budgets. With the right digital tools, small utilities can preserve expertise, improve resilience, and operate more efficiently.