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Maximising the Benefit of Site Automation
Leading Edge Fuel Monitoring Service
Presentation Topics
• Overview– the need for control
• Explanation of Monitoring Service using SIR & Real Time Analysis
• Loss investigation case studies
• Benefits of a centralised control system
Introduction
Statistical Inventory Reconciliation (SIR) is the statistical analysis of daily wetstock reconciliation data
56% of UK service stations in the UK now use SIR based centralised monitoring
Applicable to stations with all levels of equipment
Approved systems have accreditation to the USEPA standard ( 9 litres per day leak detection)
Leading Edge ‘Real Time’ Monitoring involves analysis of every fuel sales transaction
Losses can be pinpointed to a nozzle, pipework or tank
Visibility over losses
• Fuel theft from the depot tank or dispenser or truck
• Detection of fuel adulteration
• Best technology for detecting leakage
• Manage and control over-dispensing meters
• Detect short deliveries, overfills & spillages
• Allowing for normal operational loss (temperature & evaporation)
• Legal compliance
• Health & Safety risk management
• Environmental protection
In Tank Temperature Monitoring
10.00
10.50
11.00
11.50
12.00
12.50
13.00
13.50
14.00
14.50
17:0
1
20:0
1
23:0
1
02:0
1
05:0
1
08:0
1
11:0
1
14:0
1
17:0
1
20:0
1
23:0
1
02:0
1
05:0
1
08:0
1
11:0
1
16:0
1
19:0
1
22:0
1
01:0
1
04:0
1
07:0
1
10:0
1
13:0
1
16:0
1
19:0
1
22:0
1
01:0
1
04:0
1
07:0
1
Time (Hourly)
Te
mp
era
ture
D
eg
ree
s C
Unleaded
Diesel
LRP
SUL
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
1 2 3 4 5 6 7 8 9 10 11
Cumulative wetstock loss %
- 0.2 %
Diesel
- 0.6 %
Unleaded
How do you know when your loss on each station is acceptable, or when there is a problem ?
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
1 2 3 4 5 6 7 8 9 10 11
Cumulative wetstock loss %
- 0.2 %
Diesel
- 0.6 %
Unleaded
How do you know when your loss on each station is acceptable, or when there is a problem ?
Wetstock loss varies by site and by time of year
Wetstock loss varies by site and by time of year
Each tank has its own ‘loss trend’
Each tank has its own ‘loss trend’ SIR detects a change in ‘statistical trend’
Loss commenced here
Explanation of SIR & Real Time analysis
Comparing SIR with Real Time analysis
Standard SIR Service
No site automation Available on ‘any’ station
Analysis of daily reconciliation data ; meter calibration is accounted for
Accredited USEPA leak detection
SIR performed on weekly basis (US standard is monthly)
Uses Peer group analysis (sites in same location are compared with each other)
Full loss investigation service
Web based management reporting
Real Time Service
Requires site automation
Analyses every fuel transaction and the corresponding tank stock level
Analysis aims to detect sudden loss within 12 hrs
Diagnostic tools pinpoint the source of loss
Remote investigation ‘bypasses’ site staff
Meter calibration, nozzle flow rate, dispenser downtime alerting
Capability to improve tank recalibration on any ATG
Typical SIR Service
Standard SIR Service
No site automation Available on ‘any’ station
Analysis of daily reconciliation data
Accredited USEPA leak detection
SIR performed on weekly basis (US standard is monthly)
Full loss investigation service
Web based management reporting
Standard SIR Service
No site automation Available on ‘any’ station
Analysis of daily reconciliation data ; meter calibration is accounted for
Accredited USEPA leak detection
SIR performed on weekly basis (US standard is monthly)
Uses Peer group analysis (sites in same location are compared with each other)
Full loss investigation service
Web based management reporting
Standard SIR Service Data Requirement
Tank
Dips
Pump
Sales
Tanker
Deliveries
TANK:
2
CAPACITY:
27,200
PUMPS:
GRADE:
MONTH:
July
YEAR:
DAILY
DateDay Opening
Stock
Deliveries
SalesBook Stock Clos ing Stock Variance
Loss (-ve)
A
B
C
D
E
F
(=A+B-C)
(=E-D)
Brought Forward From Previous Period
1
11351
5000
389
15962
15980
18
2
15958
0
464
15494
15490
-4
3
15490
0
587
14903
14882
-21
4
14897
0
689
14208
14202
-6
5
14202
0
343
13859
13855
-4
6
13855
0
466
13389
13395
6
7
13391
0
378
13013
13013
0
8
13013
0
304
12709
12695
-14
9
12703
0
596
12107
12101
-6
10
12101
0
380
11721
11712
-9
11
11717
0
559
11158
11170
12
12
11152
0
483
10669
10643
-26
13
10660
0
511
10149
10137
-12
14
10137
6000
318
15819
15843
24
15
15810
0
425
15385
15371
-14
16
15371
0
521
14850
14843
-7
17
14843
0
323
14520
14501
-19
18
14512
0
660
13852
13853
1
19
13843
0
653
13190
13180
-10
20
13180
0
353
12827
12811
-16
Using
Dipsticks or ATG
Read Pump Totes
Or POS output
Delivery Ticket
Ambient Quantities
Take readings at the
same time each day
Complete
Daily
Reconciliation
Paperwork
Weekly SIR report
SIR Fail – commence
investigation
Run Weekly
SIR Analysis
‘Conclusive’ results are maximised
Small Leak Investigation
Opened
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
Ibank alarms for Gauge,
Line & Pump issues
investigated
Data errors resolved with Site Manager
Sudden Loss Investigation
Opened
DAILY
TASKS WEEKLY TASKS
Analysis and loss investigation process
Loss investigation is a process of elimination
What if you can pinpoint the cause of loss remotely
Real Time Analysis
Real Time Service
Requires site automation
Analyses every fuel transaction and the corresponding tank stock level
Analysis aims to detect sudden loss within 12 hrs
Diagnostic tools pinpoint the source of loss
Remote investigation ‘bypasses’ site staff
Meter calibration, nozzle flow rate, dispenser downtime alerting
Capability to improve tank recalibration on any ATG
Reconciliation
of
every fuel
transaction
Example Real time data collection
Site controller
Data Centre
Pumps
ATG
POS
Data acquisition
medium
Confirmed
tanker
deliveries
Serial or TCPIP
connection
Real time analysis makes recalibration of non-reconciling ATG’s possible
Typical dispenser fuel sales transaction data
Frequent ATG tank stock
readings
Example also shows tracking of
water ingress
Loss investigation examples
Typical real time alerts via email to the analyst
Delivery shortage detected
Original Data from Site
Data quickly verified by Analyst
Dispenser fault causing over-measure
Fault pinpointed to nozzle 1, pump 7 at 3.30 pm 13th Oct. Site notified immediately Contractor service call raised Quickly stops the loss
Suction line leak
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
fuel draining back into tank + loss of prime + corresponding loss = line leak
Tank leak – water ingress
The data indicates that this is not a probe fault or water delivered by
the truck. Continuous water ingress = tank leak
Theft
Hourly breakdown
of sales
Theft
Analysis confirms theft by site staff before official site opening at 6.32 am
Theft
In the UK , systematic theft is eradicated
Sudden loss alert (theft or catastrophic tank leak)
A sudden loss of 200 lts on tank 5 diesel and within 15 mins an alert is
raised at the central monitoring office and the client’s security cover is
notified
Other features of real time monitoring
Stock Visibility &
Control
• Manage Stock levels
• Avoid Stock-outs
• Confirm Water levels
• Accesses 24 hr/day
Tank alarm management
Alarm Notifications
• Real-time collection of Alarms
• Assistance to Site Manager
• Reassurance to Site Owner
You choose the Alarm: • Water levels • Theft alerts • Overfill alarms • Tank leak warning • PLLD / Sudden Leak
Water
Alarm
at your
site
Which of your pumps or tanks are out-of-use?
Real-time data capture allows you to identify which of your pumps or tanks is left OOU. This report show number of hours of nozzle inactivity
Nozzle Flow Rate Analysis
Tank stock level vs Temperature temperature of delivered fuel is calculated
22,000 lts @ 7.7 deg is added to
2000 lts @ 11.2 deg resulting in
24,000 @ 8.0 deg.
Typical loss investigation outcomes Summary of Fairbanks Wetstock Investigation Conclusions
Pump Fault
9%
Leak on Meter
2%
Leak on Pump
4%
Gauge Fault
4%
Fault on Meter
3%Under Dispensing
15%
Over Dispensing
52%
POS / DOMS Problem
3%
Tank Leak
3%
Line Leak
4%
OSF Leak
1%
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