We pride ourselves on our intelligent, science-based approach to network design and performance modeling.
We can predict the performance of your network before any sensors are installed, including determining the impact of noise encroachment from nearby operations. Our objective is to design your network using the minimum number of stations to meet the monitoring criteria immediately upon install, but with sufficient station redundancy to ensure a robust network. And for existing networks, we can identify regions that may need improving.
How it works
The first thing we consider is the network’s performance requirements. With this information, and knowing approximately where the customer expects the stations to be installed as well as considering general knowledge of the area, we model an idealized network. We use software that was specifically developed to predict network performance, taking into account the site noise, the velocity model, instrumentation noise, station distribution and the event spectra (Brune’s Law).
Network modeling inputs
Network modelling outputs
What we produce are maps that highlight the geographical distribution of event location accuracy and magnitude of completeness.
What impacts magnitude of completeness?
- instrument selection
- station spacing
- site noise
What impacts location accuracy?
- velocity model accuracy
- the number of stations that detected the event
- the relative placement of stations used to locate the event (azimuthal coverage)
- pick errors
At this point, the stations are just "dots on a map,"' with little or no consideration for how suitable the sites actually are. An idealized network model is provided as part of a proposal. Once a contract is signed, we further refine the network design as part of the installation process