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SRL
Vicolo Boni, 7 - 52044 Cortona (AR) - Tel. +39.0575.6383.11 - Fax +39.0575.6383.79 - www.icarocortona.it -
SEVESO SAFETY REPORT
Guide Lines
RISK ANALYSIS AND ASSESSMENT
Jan. 2015
File: Seveso Safety Report Guideline - Risk Assessment - 3
SEVESO SAFETY REPORT Guide Lines
RISK ANALYSIS AND
ASSESSMENT
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INDEX
GENERAL INFORMATION ON THE SITE .................................................................. 3
PROCESSES, TECHNOLOGIES, ORGANIZATION AND FACILITY DESCRIPTION ........ 3
DANGEROUS SUBSTANCES CLASSIFICATION AND INVENTORY ............................. 4
IDENTIFICATION OF EVENTS LEADING TO MAJOR ACCIDENTS ............................. 4
TOP EVENTS FREQUENCY ...................................................................................... 5
POSSIBLE SCENARIOS AND RELEVANT FREQUENCY .............................................. 6
SCENARIO EFFECTS ................................................................................................ 8
CONSEQUENCES ASSESSMENT ............................................................................. 8
DOMINO EFFECTS ................................................................................................. 9
RISK ASSESSMENT ............................................................................................... 10
DEFINITIONS ........................................................................................................ 11
REFERENCED BIBLIOGRAPHY AND SOURCES ...................................................... 12
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GENERAL INFORMATION ON THE SITE
The Safety Report will be introduced by a detailed description of the terminal, including among
others:
• Environmental description of surrounding
• Geological and hydrographic information
• General description of the facility under analysis.
The information will be supported by graphical representation (general chorography of the
area in a suitable scale).
PROCESSES, TECHNOLOGIES, ORGANIZATION AND FACILITY DESCRIPTION
Detailed description of
the facility’s general description and history;
the processes utilized in the facility (establishment) under analysis;
the technologies adopted;
the organization of the facility (daily and on-shift personnel).
The description will be joined to drawings and schemes illustrating the specific subject (PFDs,
lay-outs, organization schemes and so on).
Example of PFD scheme
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DANGEROUS SUBSTANCES CLASSIFICATION AND INVENTORY
A deep analysis will be carried out of all substances present and processed in the
Establishment, with their classification according to the Manufactory Safety Data Sheets
(MSDS) and the identification of those falling under the Attachment 1 to Seveso Directives as
implemented in Turkish laws and regulations. The analysis will avail of a proprietary software
developed di ICARO for this purpose.
Computation of the maximum inventory of Seveso’s dangerous substances, will be based on
the maximum hold up in the process and storage areas, including larger pipelines and mobile
trucks stationed within the legal limits of the establishment. The inventory calculation will be
performed in accordance to the criteria provided in Annex 1 of amended Seveso II Directive.
IDENTIFICATION OF EVENTS LEADING TO MAJOR ACCIDENTS
Two are the main instruments for starting to hypothesize the events (such as leaks, failures,
over running of process parameters) capable to induce a major accident:
- Historical and statistic analysis
- Operability Studies (Hazop).
Historical and statistic analysis
Preliminary identification of major risks possibly affecting the subjected establishment is
carried out by a desk analysis of occurred or near missed past accidents in the facility under
study or in similar facilities/plants/units, taking into account involved substances, modalities,
causes, effects and consequences. Necessary information will be assumed also from
international referenced bibliography (reports) and specialized databases. With its experience
ICARO has built a proprietary data base, which recollects, updates and organizes information
from EU JRC Major Accidents Reporting System (MARS) and many other referenced sources.
HAZOP study
The HAZard and OPerability study is a structured and systematic examination of process or
operation that allows to identify and evaluate problems that may represent risks to personnel
or equipment. HAZOP is carried out by multi-disciplinary team (HAZOP team) during a set of
meetings. This technique leads to identify the potential hazards associated to process upsets,
by means of a deep analysis of process and the connected P&IDs. This method is the most
commonly used for major accidents identification.
Other methods
Other methods are available, according to some specific requirements, as
- Failure Mode and Effects analysis (FMEA)
- What If analysis
- Check lists and others.
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The identified events (Top Events) are generally consisting in loss of dangerous substances
potentially leading to major accident hazards. In some cases sudden explosions or runaway
reactions are taken into account, according to specific situations.
Example of Hazop worked out P&I
The study will obviously consider the technological and organizational safety measures
implemented to prevent or mitigate the Top Events analyzed.
TOP EVENTS FREQUENCY
Frequency of Top Events (TE) will be generally estimated by two methods:
- statistical analysis of the recorded Losses Of Containment (LOC) frequency in similar facilities due to random causes (Random events);
- the application of the Fault Tree Analysis technique (Process Events).
Statistical frequency (Random events)
Loss of containment due to random causes are recollected to 3 basic equivalent diameters
having: 6,35 mm for small leaks, 25,4 mm for medium leaks, up to 100 mm about (4” = 101,6
mm) for heaviest leaks. Full bore failure is considered as conceivable for piping having small
diameters. Particularly, as far as heaviest leaks are concerned, taking into account also past
experiences of ICARO and literature indications, following cases have to be taken as a basis:
• full bore rupture for piping till 3” diameter (up to 3” = 76,2 mm std equivalent diam.);
• the 4” leak equivalent diameter for the 8” piping upward.
• for pipes included between 4” and 6”, equivalent diameter = 76,2 mm.
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Characterization of the selected released stream (source terms as substance, pressure,
temperature, phases, flow rate), to be used in the accidental scenario’s analysis, has to be
performed in each case. TE basic frequency) will be selected within those indicated in the
American Petroleum Institute (API) referenced standards 581 (ed. 2000 and 2008), with some
adjustments to specific situation of the site, as recognized by API std, in terms di technological
and organizational safety measures implemented.
Fault Tree technique (Process events)
This technique allows to gather the information from HAZOP report and reproduce the logic
connections that bring from the initial causes to the final release of dangerous substances
(LOC). The representation will be developed with application of specific software, FTA Pro
released by Diadem Inc. The failure rate of each single initial cause will be taken from the
following international data bases:
• OREDA; Offshore Reliability Database Handbook, 2009
• Exida; Safety Equipment Reliability Databook, 2007
Negligible frequency (All events)
Events that are classified with an expected frequency of occurrence below the threshold value
of 1,0 x 10-6 occasions/year will be considered as negligible risks and not further developed.
POSSIBLE SCENARIOS AND RELEVANT FREQUENCY
Flammable and toxic gases releases may evolve in different ways, according to their
characteristics (i.e. flammable, not flammable) and to the presence of ignition sources. In
order to qualify and quantify all potential outcome scenarios (like fire, explosion, dispersion in
atmosphere), the “Event Tree” technique will be applied. This technique allows investigation of
all possible logical paths, each one having an assigned probability value.
Example of Event Tree application technique
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Combining all the branches of the tree in the hypothesized accidental sequence, it is possible
to obtain the qualification and quantification (in terms of expected frequency) of all potential
scenarios. The evaluation of the predicted frequency of a scenario due to a release relies also
on properties of gas, temperature and pressure of the release, flow rate and environmental
condition. Basic frequency of the scenarios will be determined by means of probability
parameters usually adopted in the referenced literature/data bases.
As an example, in determining the specific source terms, release time of the leaks in absence
of necessary information will be determined as 30’. As far as ignition probability is concerned,
following set of values will be assumed from scientific literature:
In case of flammable mass below 500 kg, the UVCE is not considered as a possible scenario.
Technological and organizational safety measures implemented could largely influence the
frequency of an accidental scenario.
Negligible frequency (All scenarios)
Scenarios that are classified with an expected frequency of occurrence below the threshold
value of 1,0 x 10-7 occasions/year will be considered as negligible risks and not further
developed.
Example of a final summary reporting distribution of scenarios frequency
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SCENARIO EFFECTS
A study on the physical effects of each identified scenario (radiation, pressure waves, tox.
concentrations and so on) will be performed by application of a specific software tool, the
package Phast Pro 7.1 released by DNV Technica. The package is generally used to calculate
the following effects, but not limited to:
• Radiation curves associated to fire scenarios;
• Overpressure values associated to explosions;
• Substance concentration profile associated to flammable and/or toxic dispersion.
The time duration of each single scenario will take into account the availability of prevention,
mitigation and containment measures (both technical and organizational) and the response
time of operating personnel and the Emergency Squads. Scenario’s effects are generally
ranked according to the following threshold values:
• Thermal steady radiation (jet/pool fires): 37.5 kW/m2, 12.5 kW/m2, 7 kW/m2, 5 kW/m2
• Gas cloud concentration for ignition (Flash fires): LFL, 0.5 LFL
• Blast Wave Overpressure: 0.3 bar, 0,15 bar, 0.05 bar
• Toxic Concentration: IDLH, LC50 and LC1.
• Thermal dose (4-3 s): 3200 kW/m2 (~100% fatality probability), 2000 kW/m2 (~50% fatality probability) and 1000 kW/m2 (~1% fatality probability).
With reference to the options available in the package, following assumptions will be applied:
• constant flow rate of the released fluid;
• jet fire: API model (sectioned open cone model);
• vapor cloud explosions: multi-energy model per plant area (partially confined), based on TNO model.
Effects evaluation will be developed according to the meteorological data of the site. As a
general criteria, in absence of specific local data, single wind speed and stability category (2-D
or 2-F) will be selected for the simulation, choosing amongst two the more dangerous in
extending the consequences of an accident.
CONSEQUENCES ASSESSMENT
Consequences analysis could be defined as the evaluation of the spatial spread of the effects,
determined as beforehand described, with the assessment of potential damages affecting
people, environment and assets.
Effects of a major accident will be properly mapped within the establishment, involving also
the surrounding territory if affected. The maps will allow the identification of the areas that
are potentially exposed to the ranked effects of the scenarios.
In the example below reported, the item initials (i.e. EP 01) are identifying a Top Event, source
of the considered scenarios. Bleu enveloped curves are referring to areas affected by Flash
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Fire, violet curves are referring to areas affected by explosions (VCE), at 0,3 bar blast wave.
Inside dark brown curves could be found areas subjected to deadly toxic effects.
Example of scenarios’ effects map
DOMINO EFFECTS
An analysis of secondary major accident (Domino event) generated by a first accidental
scenario identified in the Safety Report is sometime required as detailed side study. The
Domino event unfortunately doesn’t find a unique definition accepted at worldwide level.
According to HSE -UK [COMAH):
“A domino event is defined as a loss of containment on a major hazard installation which has resulted
directly or indirectly from a loss of containment of an adjacent nearby major hazard installation. The two
events must occur concurrently or in close sequence and the hazard range must extend beyond that of
initiating event”.
ICARO srl developed many studies of Domino effects, with a proprietary methodology,
grounded on the most referenced literature and public/private sources. Starting from a
scenario developing effects affecting potential neighboring domino targets (i.e. strong blast
waves or radiation/jet fires hitting large inventories of LPG, LNG or flammable liquids), the
study will take into consideration: the target exposure (times, surface) to hitting vectors, the
prevention measures (such as gas detection system), the protection systems implemented
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(physical barriers, cooling systems, steam barriers and others), the response to the emergency
by the organization and specialized squads, the accessibility to the scenario location and the
means/tools available and other parameters. Composing each parameter in a Event Tree, the
final frequency of a further induced major accident (Domino Effect) could be found as well as it
is possible to define the type of secondary scenario (i.e collapse, explosion) derived from the
first scenario.
RISK ASSESSMENT
For each identified scenario, the combination of frequency of occurrence and the relevant
severity of consequences, taking into account potential targets exposed to damages (people,
environment, assets) will be used in order to classify the risk, by means of the application of a
specific risk matrix. The risks will be classified as acceptable, ALARP (As Low As Reasonably
Practicable) and unacceptable, according to the specific matrix categorization. In case of
unacceptable or ALARP risk, measure for risk reduction will be identified and recommended.
As an example of Risk Matrix, following picture is reported below:
Dark brown boxes represent unacceptable risks. Grey boxes represent ALARP area, while
white boxes indicate acceptable risks condition.
Cla
ss
es o
f F
req
ue
ncy
Consequences: Classes of severity
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DEFINITIONS
QRA: Quantitative Risk Assessment.
Hazop: the Hazard Operability study is a structured hazard identification tool using a
multi-disciplined team, for a process plant, directed towards the analysis of process
upsets which might lead to an accident.
Random loss: A loss of containment from piping and equipment due to random causes
which leads to a release of a hazardous substance in the environment.
Process loss: A loss of containment from piping and equipment due to process causes
which leads to a release of a hazardous substance in the environment.
Top Event (TE): A well identified and defined leak of hazardous substance,
characterized by a specific hole size and relevant frequency, following a random or
process loss.
Equivalent diameter: The measure of the hole size as diameter of a circle having the
same surface of the real hole.
Frequency: The estimated number of occasions that might lead to a Top Event
occurrence referred to a time period (normally a year).
Fault tree: Logical qualitative and quantitative representation of the possible
anomalies in plant operation that might lead to an accident or Hazard.
Event tree: Logical qualitative and quantitative representation of accident sequences,
from initial release to final scenarios (fire, explosion and dispersion).
Scenario: The final form assumed by the development of the accidental sequence
started by a top event, in terms of fire, explosion and/or dispersion in atmosphere.
Jet fire: The flame jet developed from the ignition of a pressurized release of a
flammable substance from a hole.
Pool fire: The fire developed from the ignition of a liquid pool of flammable substance.
(U)VCE: (Unconfined) Vapour Cloud Explosion; an accelerated combustion (from
deflagration to detonation) of a mass of flammable vapour in atmosphere that
produces significant values of over pressure.
LFL: Lower Flammable Limit: The lower concentration of flammable substance that
can be ignited in atmosphere.
Flash fire: An accelerated combustion of a vapour cloud without significant
overpressure consequences.
Stability class: Characteristic state of the atmosphere that influences the dispersion of
a gas. The higher the stability the more compact the cloud will travel.
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REFERENCED BIBLIOGRAPHY AND SOURCES
1International Association of Oi l & Gas Producers , Risk Assessment Data Directory,
Report No.434-6.1 "Ignition Probabi l i ties", March 2010.2010
2
Flemish Government – LNE Department, Environment, Nature and Energy Pol icy Unit,
Safety Reporting Divis ion: “Handbook of fa i lure frequencies for drawing up a Safety
Report – Technica l report and Appendix, 5 maggio 2009
2009
3National Insti tute of Publ ic Health and the Environment (RIVM), Reference Manual Bevi
Risk Assessments , vers ion 3.2, 01/07/2009.2009
4API STD 581 – “Risk based inspection – Downstream Document - Recommended Practice ”
September 20082008
5 Exida 2007: Safety Equipment Rel iabi l i ty Handbook 2007
6UK HSE, Cl ive Nussey – “Fa i lure frequencies of high pressure s torage vessel at COMAH
s i tes . A comparison of data used by HSE and the Netherlands”, 20062006
7
H.I. Beerens , J.C. Post, P.A.M. Ui jt de Haag – “The use of generic fa i lure frequencies in
QRA: the qual i ty and use of fa i lure frequencies and how to bring them up to date” –
Journal of Hazardous Materia ls , 130 (2006), 265-270
2006
8 TOTAL - “Guidel ines for ri sk analys is”, doc HSE-SRD-004, 2006 2006
9Energy Insti tute, 2006, IP Research Report – Ignition Probabi l i ty Review, Model
Development and Look-up Correlations , London, UK.2006
10 Sintef 2006: PDS Data Handook 2006
11HSE – Planning case and assessment guide (PCAG) – Fa i lure rate and event data for use
within risk assessments , 20042004
12 W.K. Muhlbauer, Pipel ine Risk Management Manual , 3rd Ed., 2004, Elsevier 2004
13 SINTEF – OREDA, Offshore Rel iabi l i ty Data, 2002 2002
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14Dimitri B. Kececioglu, "Rel iabi l i ty & Li fe Testing Handbook, Vol 1”, 2002, DEStech
Publ ications2002
15 Oreda 2002: Offshore Rel iabi l i ty Data, 2002 2002
16 API STD 581 – “Risk based inspection – Base Resource Document”, 2000 2000
17DNV Technica, a cura di John Spouge – “A guide to quanti tative ri sk assessment for
offshore insta l lations” – CMPT, 19991999
18TNO - Committee for the Prevention of Disasters , CPR, “Guidel ines for quanti tative ri sk
assessment – Purple Book”, doc CPR 18 E, 19991999
19Lees – “Loss Prevention in the Process Industries”, 2nd edition, 1996 – Butterworth –
Heinemann1996
20 E&P Forum: Quanti tative Risk Assessment Data Directory - Report No 11.8/250 1996 1996
21 AIChE – Chemica l Transportation Risk Anal isys – CCPS 1995
22
Hurst et a l . – “Fa i lure rates and incident database for Major Hazards” – 7th International
Sympos ium on Loss prevention and Safety Promotion in the Process Industry, Taormina
(IT), 1992
1992
23 Hydrocarbon Leak and Igni tion Database (1992). 1992
24 CCPS: Process Equipment rel iabi l i ty data base 1989
25 Progetto ARIPAR, Anal is i dei Rischi Industria l i e Portual i del l ’Area di Ravenna, 1987 1987
26 World Bank - “Manual of Industria l Hazard Assessment Techniques”, 1985 1985
27 B.J. Wiekema - TNO - "An Analys is of Vapour Cloud Explos ions Based on Accidents". 1983
28Thomas, HM – “Pipe and vessel fa i lure probabi l i ty” – Rel iabi l i ty Engineering, 1981; 2:83 -
1241981
29
Cremer & Warner - App IX in COVO Commiss ion- “Risk analys is of s ix potentia l ly
hazardous industria l objects in the Ri jnmond Area, a pi lot s tudy – A report to the
Ri jnmond Publ ic Authori ty”, 1981
1981