NetworkSee
NetworkSee has been developed to provide pipeline engineers and contractors accurate empirical
data on the conditions in your pipeline network. Through the analysis of billions of data points the
software clearly presents a visual snapshot of the current structural conditions of the network. This
information is vital in ensuring assets in the most critical condition can be investigated for further
rehabilitation.
The Concept - Simple and Easy
- Data is collected utilizing RedZone's portfolio of inspection equipment
- Reports are produced by the RedZone/CleanFlow team as they have been for the last few years
- The data is presented in NetworkSee so you can immediately start to harness the value of this data, seamlessly streaming the information into your decision making.
The Software
- Easily look at thousands of feet of pipe to quickly observe where in your network there are problems such as corrosion, water level changes or debris build up.
- Drill down to look at single assets, right down to virtual pan/tilt/zoom CCTV files
- Logan Distribution - How corroded are your pipes, and where does the bulk of the corrosion lie in relation to the wall thickness
- Debris indications - How many trucks worth of debris is in your network, and where are they located
Logan Distribution
The Logan Distribution utilizes 35,000 data points per foot, the resulting curve represents the wall loss (x-axis) v's percentage of the surface area (y-axis). This information is vital in interpreting the current condition of pipelines in your network. Through this type of assessment it is easy to see how the pipe segment has degraded over time. This advanced investigation helps to save time and money, as
the software provides for a standardisation of the data which then lets engineers
and other decision makers accurately prioritise resources.
The three graphs above highlight three differing types of pipeline condition, the top line shows a pipe with very little surface corrosion, this is backed up by the fact the flat graph is white and the Logan Distribution is on the extreme left of the graph indicating that the bulk of the points have significant remaining wall thickness.
The second line shows an area of yellow that indicates a section of isolated corrosion that shows up in the Logan Distribution as the secondary hump in the graph.
Finally the bottom line shows three different situations in the one line, two sections of severely corroded pipeline either side of a "white pipe", in this situation there is a pipe material change as the line goes under a freeway. What we can see in the Logan Distribution is two distinct peaks one of which is close to exposing the rebar, an ideal pipe for emergency rehabilitation.
Investigate Your Whole Network
 This one Logan Distribution curve presents over 45,000ft of data calling upon over 1.5 billion individual data points, clearly allowing network engineers to visualize a snapshot of the systems current structural condition.
This information can help in long range budget forecasting and ensuring that assets in the most critical condition can be investigated for further rehabilitation.
The further along the x-axis the peak of the graph the more costly the rehabilitation of the network is going to become. Thus the corrosion distribution helps to ensure costs are kept low by catching issues before they become expensive problems
The data from this curve can be extrapolated and presented into tabular format to clearly break down the proportion of your network that is in each condition.
Asset Comparison Over Time
 Directly compare the same asset to see how it has degraded over time. This type of analysis helps network engineers to easily ascertain whether or not your assets needs to be frequently reinspected, or if the pipeline is in a state where you can comfortably leave it until its next scheduled condition investigation.
In the graph on the left we can see that the line has degraded slightly over the two year period between the inspections. This is seen in the graph by the blue 2011 line has shifted along the x axis. The widening with the base in the 2011 inspection corresponds with the peak lowering in comparison to the 2009 inspection.
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