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We will start shortly…
Leakage Detection for Toxic Chemicals
Presented by: Riccardo Belli – PLM Distributed Sensing
Web SeminarWeb Seminar
• You should hear my voice through your PC speaker / headset
• You can ask questions using the “Questions” panel on the right of your screen. We will answer:– In the “Questions” Panel– At the end of the presentation– By email
• Later this week you will receive link to:– Presentation in PowerPoint, PDF and with narration– Datasheets
ContentsContents
• Context – motivations• Fiber optic sensors Technology• Leakage detection• Application examples• System reliability – Level of confidence• Questions and answers
Context – motivationsfor leakage detection
Context
1966. Feyzin (France)- Explosion of 2 propane
storage tanks-18 deaths and 84 injured
1976. Seveso (Italy)- Toxic cloud carrying dioxine
- 4 villages covered by the cloud
- About 37 000 people impacted
(no immediate deaths)
Historical dates of industrial accidents
Historical dates of industrial accidents1984. Bhopal (India)
- Explosion of 40 tons of toxic gas (isocyanate of méthyl)- 8 000 deaths the first night- 16 000 and 30 000 deaths
2001. Toulouse (France)
- Explosion of the fertilizer plant AZF- 30 deaths- 3 000 injured- Destruction of infrastructures and housings
Historical dates of industrial accidents
2010. Ajka Alumina (Hungary)
- Release of 600 000 tons of red muds (arsenic, mercury and lead) spilled from open air storage tanks- 9 deaths and 200 injured- Critical environnemental damage (soils and rivers)
Reglementation• The reglementation (SEVESO II) focus on the prevention
of major accidents on industrial sites such as fire, explosion or release of toxic gases.
• In this framework, the industrial site owner builds up a risk analysis in order to identify all the accidents which can occur, to evaluate their probability, gravity, and cinetic and to implement the appropriate prevention measures.
• The leakage detection acts as a safety barrier allowing to reduce the risks at source.
Technology of Distributed Sensors
FO Distributed Technology
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T, ε T, ε
Scattering of lightScattering medium
Laser, lo
Optical Scattering in Silica FibersOptical Scattering in Silica Fibers
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T1
Reading Unit
Distributed Sensor0m
1m 100m
1000m
30km
T1
T2
T2
Position [m]
Tem
p. [°
C]
Distributed sensingDistributed sensing
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Single fiber optic sensor (sensing cable) Every segment (1 - 2 meter long) of sensing cable
replaces discrete temperature sensor Complete temperature profile over the entire cable
obtained by single scan (10 seconds) Provides for location of the temperature event (1 – 2
meter accuracy)
Distributed sensingDistributed sensing
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Advantages of Fiber Optic Sensors Advantages of Fiber Optic Sensors
EM fields immunity Installable in explosive areas Small size and lightweight, easy to install, low
maintenance Durability and reliability of sensors High sensitivity to temperature (0.1°C) Permanent monitoring Long measurement range (several kilometers) Quick response time (10 seconds) Software adaptable to various operation conditions,
climatic conditions Cost-effective
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Leakage detection principle : Temperature anomalies analysis
Working principle
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Leakage DetectionLeakage Detection
Temperature profiling along pipelines/storages Leakage detection through temperature anomalies
analysis at the leakage point· Change of the cable temperature due to liquefied gas
relaxation· Cooling due to gas expansion· Change of the cable temperature due to liquid spilling
High sensitivity for the detection of micro-leakages Identification of the leakage location with 1 – 2 m
resolution.
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Liquefied gas (Ammoniac, CO2, Ethylene…)
High pressure gas (natural gas)
leak
temperature effects
warming
coolingOil or hot liquid
pipelines
T/ °C
time
T/ °C
time
Pipeline
Leakage DetectionLeakage Detection
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Sensing fibre cable
Leakage is detected by the temperature difference induced by the presence of the released fluid on the sensing cable (temperature of the liquid different from the ambient cable temperature)
Tem
pera
ture
Position
Leakage
Leakage Detection - liquidLeakage Detection - liquid
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Sensing fibre cable
Leakage is detected by the temperature drop of the gas induced by the decompression of the leaking gas caused by the Joule-Thompson effect (pressure relaxation to atmospheric pressure cooling)
Tem
pera
ture
Position
Leakage
Leakage Detection - gasLeakage Detection - gas
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Temperature Sensor cable
• Range of monitoring up to dozens of kilometers
• Temperature accuracy: 0.1° C• Spatial Resolution: 1 meter• Response time: 10 seconds• Permanent monitoring• Leakage detection software• Remote monitoring via Ethernet
• Distributed temperature sensor (cable)• Rugged, watertight, corrosion resistant• Low/High temperature and shock
resistant• Insensitive to EM fields• Easy and rapid to install
Reading unit
System componentsSystem components
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N° of sensors: up to 4 Multi Mode optical fibres per cableCross-section: 3.8 mm with PA sheathCable weight: 22 kg/km with PA sheathTemperature range: -55°C to +85°C in long-term
-65°C to +300°C in short-term-60°C to +85°C storage
Mechanically reinforced temperature cable
Optical fibres
Stainless steel wires
Stainless steel loose tube
Sheath
Temperature sensorsTemperature sensors
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Alarms can be triggered on the reading unit or on the database User can set various actions to communicate an alarm: ex. email,
relay control, text message, etc.
Warning!!! – Temperature event at 430m
E-mail SMS Relay/Modbus Network
Alarm softwareAlarm software
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Alarms triggers if absolute temperature is exceeded : suitable for situation in very stable environment
Ambient Temperature very stable
Alarm triggered if pipeline leaks and temperature drops
Time
Temperature at point (x)
Temperature at time (t)
Length along cableLeak triggers alarm
Absolute temperature - alarmAbsolute temperature - alarm
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• Alarms triggers if rate of change is exceeded : suitable for dynamic but predictable environment
Typical temperature drop = 0.05 °C/min
Max normal temperature = 40°C
Absolute temperature alarm set to 60°C
10
40
Night time temp
Time
Temperature at time t
Max day temperature
24 hours
Rate of change - alarmRate of change - alarm
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DamsDikes
DiView graphical user interfaceDiView graphical user interface
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Application Examples
Application examples
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Leakage detection of an ammonia rack pipeline in a fertilizer production plant
Yara Italy – Norwegian world leading supplier of plant nutrients in the form of mineral fertilizer
Ammonia pipeline monitoring
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2.200 meters of ammonia rack pipeline Material: carbon steel Diameter: 2” & 4” Working pressure: 16,5 bar Design pressure: 20 bar at max 50°C The ammonia inside the pipeline is in
liquefied state. In case of leakage, the ammonia goes out at atmospheric pressure both in liquid and gas states at approximately - 30° C
The aim of the monitoring is to detect leakages by continuous temperature monitoring
Rack pipeline outline
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DiTemp DTS-SR inside the Control Room
2 X
JB with splice
Main JB
2 X
JB with splice
1 X
Junction Box
1 X
Installation layout
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LINE ALARM N° DETAILSFROM TO SET
(meter (meter) °C
GREEN LINE TKA 100/1
1 Alarm at low temperature 120 300 -5
2 Alarm at low temperature 300 565 -5
3 Alarm delta T previous measure 120 300 -12
4 Alarm delta T previous measure 300 565 -12
BLUE LINE TKA 100/2
5 Alarm at low temperature 1'020 1'300 -5
6 Alarm at low temperature 1'300 1'670 -5
7 Alarm delta T previous measure 1'020 1'300 -12
8 Alarm delta T previous measure 1'300 1'670 -12
RED LINE TKA 100/3
9 Alarm at low temperature 2'325 2'500 -5
10 Alarm at low temperature 2'500 2'800 -5
11 Alarm at low temperature 2'800 3'150 -5
12 Alarm at low temperature 3'150 3'420 -5
13 Alarm delta T previous measure 2'325 2'500 -12
14 Alarm delta T previous measure 2'500 2'800 -12
15 Alarm delta T previous measure 2'800 3'150 -12
16 Alarm delta T previous measure 3'150 3'420 -12
Fault TKA 100 Alarm for faulty system
Alarm threshold
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Temperature response over the monitored part of the pipeline measured during the setup of the system
0
5
10
15
20
25
30
0 500 1000 1500 2000 2500 3000 3500 4000
Length (m)
Tem
per
atu
re (
deg
C)
control room
blue fibre line red fibre line
green fibre line
Temperature distribution
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Leakage simulation on ammonia rack in France
From storage tank to truck and wagon loading arms : 900 meters
Material: carbon steel Diameter: 6” Working pressure: 8 bar Outside temperature : 0°C Nominal flow : 100 tons / hour Optical cable located below the pipeline
Ammonia pipeline monitoring
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2 tests were achieved by spilling ammonia on the pipeline :
• Test 1 : 1 kg of ammoniac over 1 meter over 1 minute (equivalent to 0.06 % of the nominal flow)
• Test 2 : 0.5 kg of ammonia over 0.5 meter over 1 minute (equivalent to 0.03 % of the nominal flow)
Leakage simulation
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Detection of micro leakages (less than 0.1 % of the flow), attenuation of transient phenoma (pumps)
Test
1
Test
2
pum
ps s
tart
Threshold for leakage detection
Data after treatment by suitable algorithm
Test results
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System reliabilityConfidence
System reliability
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If red sensing cable is broken the DTS will still measure either side of the break. The blue sensing cable will still measure the entire pipeline length.
If blue sensing cable breaks the DTS will still measure either side of the break
If one DTS fails, the redundant DTS stills operates
DTS DTS
Redundancy
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• Based on the « proven by experience » approach• A combination of redundant architecture & tests allow a SIL
equivalence:– Redundancy: two/three interrogators and cables– Voting systems (1oo2 or 2oo3)– Positive security– Regular test on the line (ex : with CO2 bottle)– Regular maintenance
SIL equivalence
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Distributed Fiber Optic sensing is a novel, but well proven technology to detect toxic chemicals leakages in industrial sites (SEVESO classified)
It offers unprecedented sensitivity to detect very small leaks in a few seconds and allows the localization of the leak with meter accuracy, which cannot be detected by conventional techniques
Appropriate architecture and testing program guarantee a high level of confidence to the system
The deployment of such system has been carried out successfully in a number of reference and qualification projects worldwide
General conclusions
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Thank you!Any question?
Safety first
Conclusions – Leakage detection