# Fa irbank s En vir onmen ta l Ltd

Not es for discussion with US EP A

# In tr oduction  96 UK st aff  Intr oduced SIR systems into the UK in 1997  56% of UK service st ations now use SIR based centralised monitoring  Now pr oviding services to 4,500 g as stations  2,000 g as stations use our ‘r eal time analysis service  Services being pr ovided in 8 r egions (Australia , Japan, UK, Ir eland, Turkey , Spain, It aly and France)

# Our SIR method uses ‘peer gr oup’ comparative analy sis

Loss commenced her e**Run Weekly**  **SIR Analysis**  ‘Conclusive’

results are maximised Small Leak

Investigation Opened
Owners Ibank alarms for Gauge, Line & Pump Data errors resolved with Site Manager Sudden Loss

Investigation Opened

**DA IL**  **Y WEEKLY**  

# Analysis and loss investigation process

Owners updated at every stage
Site Notes updated at every stage Investigation concluded Mgmt Reports produced Wetstock data uploaded Data tracked and ‘late data’ reports produced Extreme Variances reviewed & resolved Line & Pump issues investigated **DA IL**  **Y TA**  **SKS WEEKLY**  **TASKS**

# Re al time dat a c ollection

Site controller Dispensers AT G Data acquisition module* Confirmed

tanker deliveries **Every 30 seconds**  • **Tank stock levels** • **Water & temperature** • **Alarms**



### Fairbanks Data Centre POS * Or Softibank service running on site PC **Every fuelling transaction**  • start time • finish time • Volume

# What if y ou can pinpoin t the cause of loss re mot ely

# Ov er - dispensing Case Study

 Pin points the pump  Ta rgeted contractor visits  Quickly stops the loss

# Line leak Case Study

ibank detects an unusual increase in stock level and flags it to the Analyst Period of no sales

Stock level drops as sales take place

# Po in ts for discussion

• Merits of incr easing standar d fr om 0.2gph to 0.1gph

• Pe rforming SIR on a weekly basis ( on 30 days prior data) r ather than monthly will identify a re lease up to 4 weeks sooner

• 3gph leak detection on pr essurised piping can allow a significant re lease befor e detection – 3gph leak detection on pr essurised piping can allow a significant lease bef detection • How is r emote ( offset fill) piping pr otected

• Does CITLD only cover technologies embedded within an A TG or can this be e xtended to functionality located on a site PC or re mote server • Is CITLD intended to cover the entir e system ( and not just tanks) in all cases

# Po in ts for discussion

• Suction systems with UPV ’sf itted and lines draining back to the tank do not r equir e an y other r elease detection method ?
• Ar e all pr oposed methods deemed to pr ovide the same level of pr otection or is ther e case fo r adopting the appr opriate level of pr evention/ detection commensurate with the ‘risk ra nking ’ of gas stations
• Ar e y ou familiar with the UK guidance ( ‘ The Blue Book’) which uses a risk based appr oach.

amiliar with the UK guidance The Blue Book’) which uses a risk based appr
• Concern over a high volume station using pr essurised piping and single wall tanks in an ar ea of high environmental sensitivity r elying pur ely on ELLD at 3gph ? likelihood of an leak at a ra te of 2.5gph continuing fo r a considerable period
• How to pr opose a r eal time analysis method which may not be included within the CITLD class .
• Open discussion.