cwmag network analysis submitted - wordpress.com · 2019-10-23 · • we still don’t have live...

Network Analysis

Today’s data solving tomorrow’s problems

• A collaborative project undertaken by Severn Trent Water and MWH treatment.

• Working in partnership for approx. three years.

• Main aim of this project was to improve both the reactive capability and the proactive decision making ability of STW clean water network operations.

Network Analysis in Severn Trent ‐ What does this mean for us?

Robert Murrell

• Clean Water Modelling Manager at Severn Trent Water.

• What were The STW motivations for undertaking this project?

Philip Coates

• Senior Engineer at MWH Treatment.

• How MWH Treatment went about trying to meet the projects requirements.

Your presenters today

• We already have models which provide comprehensive coverage of our network.

• These are used in the traditional ways such as Engineering schemes, incident management, understanding of growth and network re‐configuration etc.

• However, models are limited…..

Why does Severn Trent Water need Network Analytics?

My confession...

• I’m a crap modeller but I’m not the only one.

• Funnel effect ‐ we only model a limited number of options.

• Reactive ‐ we only model something that has already happened.

• Models are full of data but getting hold of it is difficult.

• These limitations mean approach does not easily lend itself to giving the business the information it really needs when it needs it.

Limitations of Models

How do we obtain a better understanding

of asset failure?

Faster understanding of cause and

effect of supply interruption

Which is the most beneficial

pipe to replace?

How do we create a more

resilient network?

How do we better

understand our customers

supply source?

?

Severn Trent want to answer these questions quickly and at the appropriate level

How do we understand our

network holistically?

What does Severn Trent really want to know?

• How do we make this happen?

• We still don’t have live models to answer these questions for us.

• We had to work with what we’ve got.

• By utilising our models and other data streams and working in collaboration with MWH treatment we were able to answer these questions and many more we hadn’t thought of.

• Phil will now tell you how we went about it.

Facing Reality

Models

STW Data

Network Analytics

Base hydraulic models

“Effectus” model result databases

Performance data

Asset information

GIS / Network information “The goal is to turn data into information, and information into insight.” Carly Fiorina

What is the data telling us?

How can we improve and manipulate this data to tell us more?

How can we deliver this insight into STW?

Network Analysis – Delivering insight

Data Cleansing and Geocoding

Which Pipes have burst?

Where is the network performing well and performing poorly?

Data Import

Data Cleansing

Geocoding

Data Standardisation

Network Analysis – Making good data better


GIS Tracing

What is the physical composition of each of STW’s 346,707 isolations?

Drain down volume?

Which valves to isolate? Configurations

of isolations not in the models?

Bordering systems

Property’s

Length

Isolation Ref

Volume

Closed Valves No

Valve Travel Distance

Open Valves NoValve Positions

Valve Sizes

Valve ID’s

Network Analysis – Not all pipes are in the models


Which pipe assets involve engineering difficulty to repair?

Where are STW’s Rail / Water Crossings?

Network Analysis – Where is the pipe?

Location Analysis

GIS Tracing


Estimated Asset Repair Time

Travel Time

Isolation Time

Repair Time

Recharge Time

Awareness Time

Estimated time to repair each of STW’s 1.25 million pipe assets?

Mains with greatest risk to longer duration supply interruptions?

Network Analysis – How long will the interruption last?

Location Analysis

GIS Tracing


Property Interruption

How many properties can be rezoned during an interruption?

Where and how many rezone valves are available?

How many properties have no rezone and pose a DG3 risk?

• API – Avoidable Property Impact (Potential rezones)• UPI – Unavoidable Property Impact (No Rezones)

Rezone ‘API’ valve

Alternative Supply

UPI

API

Insufficient pressure to reach elevation of these properties

Network Analysis – Who will the interruption impact?

GIS Tracing

Location Analysis



Source / DSR Supply Traces

Where does water come from?

Where does water go?

Which mains comprise a risk to reservoirs?

Which customers have a second source?

WTW BH

DSR

DSR

DSR

DMA1 DMA2

Model 1 Model 2

Model 3Model boundaries (import/export nodes)

Property Interruption

Network Analysis – Many models, one network


Location Analysis

GIS Tracing

Network Analysis – Virtual network performance

Pipe Details• Pipe Attributes• Pipe Hydraulics• Pipe Failure Rate

Location AnalysisIs there any engineering

difficulty involved in repairing the asset?


Isolation Details• Volume• Properties• Isolation Valves• Valve Travel Time


Location Analysis

Repair Time

How is the isolation configured?

What is the estimated repair time for each of STW’s 1.25 million assets?

Network Analysis – Virtual network performanceIsolation Impact (Effectus)



Location Analysis

Repair Time

Pre‐intervention modelled impact of asset loss?

How many properties need rezoning or tankering? ….or will comprise a

longer duration supply interruption risk


Avoidable Property Impact (API)

Rezone Valves (API Valves)

Boundary Conditions• Pressures• Valve sizes• Sources(s)• Hydrant Availability

Isolation Impact (Effectus)



Location Analysis

Repair Time

What are our rezone options?

To What extent can the supply interruption be removed or reduced?

Which customers can be benefited by rezones?


Unavoidable Property Impact (UPI)







Location Analysis

Repair Time

Property Minute Impact

Which properties can not be rezoned?

What is the ‘virtual’ property minute risk? [UPI * duration]

Data for all STW assets = STW baseline resilience position









Location Analysis

Repair Time


DSR

Retention Time

Upstream DSR’s

Which DSR’s comprise the supply to each of STW’s pipes/DMAs?

What is the modelled data against these DSR?

Does the modelled data align with telemetry?









Location Analysis

Repair Time


DSR

Upstream DSR’s

Retention Time

Supply Pipes

WTW

BHSources

Which source(s) supply? the asset/DMA of interest?

Which assets comprise the supply route to the asset?

EffectusInterrogation Security of Supply

HUBAsset Report

Decision Support Tools

We have the information, how do we deliver the insight?

Effectus Interrogation – What is the model telling us?

• User Interaction with the full library of previously ran modelled scenarios (Effectus).

• “Cause Analysis” ‐ Which mains bursts would cause the witnessed network impact?

• “Effect Analysis” ‐ Which pipes/customers will be impacted by the specified burst/isolation?

• What are our rezone options and where are these valves located?

• Asset Physical Characteristics

• Location

• Engineering Considerations

• Estimated Repair Time

• Property Interruptions (API/UPI)

• Rezone Options

Asset Report – Information you need, when you need it, quicker

SoS HUB – Where does water come from, where does it go?

• “Where does water come from” ‐Which Sources, DSR’s and pipes supply the specified asset or area of interest?

• “Where does water go” ‐ Which DSR’s, pipes and DMA’s are supplied by the specified asset?

• “Hub DSRs” ‐ What is the Modelled DSR performance vs telemetry based performance?

• “Dynamic Draindown Tools” ‐ How would the DSR perform with adjusted demand or if sustained with tankering?

• Rapid incident management information.

• Clear understanding of likely impact.

• How long should it take to restore supply.

• Where to put the valves that make our network more resilient.

• Which DMAs should our Ops teams target to improve performance.

• An understanding of which pipes in our network need replacing.

Network Analysis – What is the benefit?

Currently working in Severn Trent on 10 laptops

• 6 in Network Control• 3 in regional Operations team• 1 in Modelling Team

Access and benefit are therefore limited

However…..

Business Integration in STW

• Severn Trent have made great progress migrating NA functionality onto our own systems.

• This will greatly widen the user base and increase benefit.

Business Integration in STW

• The most important question we are asked to answer is the next one.

• We don’t know what that question will be.

• Network Analysis gives us a fighting chance of being able to provide that answer.

The most important thing…

Any Questions?

Thank you for listening

“The most important question we are asked to answer is the next one.” Robert Murrell

[email protected]@mwhtreatment.com

cwmag network analysis submitted - wordpress.com · 2019-10-23 · • we still don’t have live...

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