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Risk Assessment and Oil Spill Modelling
EIA for Drilling of Exploratory/ Appraisal Wells in KG-OSN-2009/3 Block in Offshore KG Basin, Guntur and Prakasam Districts, Andhra
Pradesh
August 2015
Submitted by: Cairn India Limited
Contents
1. RISK ASSESSMENT AND OIL SPILL MODELLING ..................................................................................... 1
1.1 QUANTITATIVE RISK ASSESSMENT ............................................................................................. 1
1.1.1 Introduction ............................................................................................................... 1
1.1.2 Objective and Scope .................................................................................................. 2
1.1.3 Methodology ............................................................................................................. 2
1.1.4 HAZID (Hazard Identification) .................................................................................... 7
1.1.5 Selection of Failure Scenarios .................................................................................. 10
1.1.6 Consequence Analysis .............................................................................................. 11
1.1.7 Consequence Calculations ....................................................................................... 14
1.1.8 Failure Frequency Analysis ...................................................................................... 17
1.1.9 Calculation of Individual and Societal Risk .............................................................. 19
1.1.10 Comparison to Risk Acceptance Criteria .................................................................. 19
1.1.11 Risk Reduction Recommendations .......................................................................... 23
1.1.12 Analysis of Results.................................................................................................... 23
1.1.13 Recommendations ................................................................................................... 24
1.2 OIL SPILL MODELLING ........................................................................................................... 31
1.2.1 Key Activities Undertaken ........................................................................................ 31
1.2.2 Data Sources ............................................................................................................ 31
1.2.3 Hydrodynamic Modelling......................................................................................... 33
1.2.4 Oil Spill Modelling .................................................................................................... 39
1.2.5 Conclusions and Recommendations ........................................................................ 47
List of Figures
Figure 1-1: Risk Assessment Process ................................................................................................. 2
Figure 1-2: Risk Assessment Methodology ........................................................................................ 4
Figure 1-3: Typical Layout of Jackup Rig ............................................................................................ 5
Figure 1-4: Typical Layout for Drill Ship ............................................................................................. 6
Figure 1-5: UK HSE- Individual Risk Criteria ..................................................................................... 21
Figure 1-6: UK HSE-Offsite Group Risk Criteria ................................................................................ 22
Figure 1-7: FN Curve for Jackup rig (Day Time) ............................................................................... 25
Figure 1-8: FN Curve for Jackup rig (NightTime) .............................................................................. 26
Figure 1-9: FN Curve for Semi-Sub/Drill ship (DayTime) ................................................................. 27
Figure 1-10: FN Curve for Semi-Sub/Drill ship (Night Time) ............................................................ 27
Figure 1-11: Overall Risk contours on Jackup Rig Typical Layout .................................................... 29
Figure 1-12: Overall Risk contours on Drillship Typical Layout ........................................................ 30
Figure 1-13: Bathymetry of the area of Interest .............................................................................. 32
Figure 1-14: Annual Wind Rose off Chirala ...................................................................................... 32
Figure 1-15: Wind rose off Chirala – SW Monsoon ......................................................................... 33
Figure 1-16: Wind rose off Chirala – NE Monsoon .......................................................................... 33
Figure 1-17: Computational hydrodynamic model grid .................................................................. 34
Figure 1-18: Model Bathymetry ....................................................................................................... 35
Figure 1-19: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C1 ...... 36
Figure 1-20: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C2 ...... 36
Figure 1-21: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C3 ...... 37
Figure 1-22: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C4 ...... 37
Figure 1-23: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C5 ...... 37
Figure 1-24: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C6 ...... 38
Figure 1-25: Maximum flow field during SW monsoon (July) ......................................................... 38
Figure 1-26: Maximum flow field during NE monsoon (November) ............................................... 39
Figure 1-27: Oil Spill Locations ......................................................................................................... 41
Figure 1-32: Dispersion of spilled oil at near shore location S1- NE Monsoon ............................... 42
Figure 1-33: Dispersion of spilled oil at offshore location S1- SW Monsoon .................................. 43
Figure 1-28: Dispersion of spilled oil at far shore location S6- NE Monsoon .................................. 44
Figure 1-29: Dispersion of spilled oil at far shore location S6- SW Monsoon ................................. 45
Figure 1-30: Dispersion of spilled oil at far shore location S7- NE Monsoon .................................. 46
Figure 1-31: Dispersion of spilled oil at far shore location S7- SW Monsoon ................................. 47
List of Tables
Table 1-1: Input Parameter Summary – HSD on Jackup rig ............................................................. 13
Table 1-2: Input Parameter Summary – HSD on Drillship ............................................................... 13
Table 1-3: Input Parameter Summary for- Well Fluid Blow Out-2000m ......................................... 14
Table 1-4: Input Parameter Summary – Well Fluid Blow Out-5000m ............................................. 14
Table 1-5: Definition of Pasquill Stability Class ................................................................................ 15
Table 1-6: Representative Weather Class ........................................................................................ 15
Table 1-7: Effects Due To Incident Radiation .................................................................................. 16
Table 1-8: Failure Frequency Data ................................................................................................... 17
Table 1-9: Generic failure data ........................................................................................................ 17
Table 1-10: Consequence Analysis-Damage distance in m ............................................................. 23
Table 1-11: Accident Events at Jackup Rig/ Semi-sub Drill ship ...................................................... 25
Table 1-12: Details of Aspects Considered for Modelling ............................................................... 40
Table 1-13: Co-ordinates of the oil spill locations ........................................................................... 40
Table 1-14: Recommended Precautionary and Mitigation Measures ............................................. 48
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1. RISK ASSESSMENT AND OIL SPILL MODELLING
This section presents the Quantitative Risk Assessment (QRA) study and Oil Spill Modelling
carried out for the exploratory and appraisal drilling project in KG-OSN-2009/3 Block. The key
activities undertaken as part of both studies, results gathered in due course and
recommendations thereof have been provided in sub sections below.
1.1 QUANTITATIVE RISK ASSESSMENT
1.1.1 Introduction
QRA study is undertaken in order to develop and understand numerical estimates of the risk (i.e.,
combinations of the expected frequency and consequences of potential accidents) associated
with a facility or operation. It uses a set of highly sophisticated, but approximate tools for
acquiring risk understanding.
“Risk” is defined as the combination of the expected frequency and consequence of accidents
that could occur as a result of an activity. Risk assessment is a formal process of increasing the
understanding of the risk associated with an activity. The process of risk assessment includes
answering three questions:
1. What can go wrong?
2. How likely is it?
3. What are the impacts?
Qualitative answers to one or more of these questions are often sufficient for making good
decisions about the allocation of resources for safety improvements. But, as managers seek
quantitative cost/benefit information upon which to base their decisions, they increasingly turn
their attention to the use of QRA.
P a g e | 2
Figure 1-1: Risk Assessment Process
1.1.2 Objective and Scope
The objective of the QRA study is to identify major risk contributing events, demarcate,
vulnerable zones and evaluate the nature of risk due to proposed project expansion activity, in
addition to ensure compliance to statutory rules and regulations.
The scope of work for the study is described below:
Identify potential risk scenarios that may arise from Exploratory / Appraisal Drilling in
KG-OSN-2009/3 Block in Offshore KG Basin.
Analyze the possible likelihood and frequency of such risk scenarios by reviewing
historical accident related data.
Predict the consequences of such potential risk scenarios and if consequences are high,
establish the same by through application of quantitative simulations.
Recommend feasible preventive and risk mitigation measures as well as provide inputs
for drawing up of Emergency Response Plan (ERP) for the project.
1.1.3 Methodology
The risk assessment process is primarily based on likelihood of occurrence of the risks identified
and their possible hazard consequences particularly being evaluated through hypothetical
accident scenarios. With respect to the proposed project, major risks viz. blow outs, process leaks
and fires, non-process fires etc. have been assessed.
The QRA has been carried out as per the following broad steps.
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Data collection for the project - involves capture of data relating to the process to be
followed, meteorology, demographic profile of the area, distribution of personnel within the
plot boundary, ignition source and other relevant information. This data was obtained from
CIL’s project department.
System definition - where the potential hazards associated with the project activities are
organized and the overall QRA working strategy is evolved
Hazard identification – which consists of a qualitative review of possible incidents that may
occur, based on previous experience or judgment where necessary.
Consequence Analysis - which is carried out in order to evaluate the resulting consequential
effects of the incidents, with specific emphasis on the impact on personnel.
“Failure Frequency (FF)” analysis - estimation of the “Probability” of the incident, or related
incident outcome case. Failure frequencies so derived shall be combined with the
consequence models predictions to derive composite risk values/results in the fourth stage of
QRA.
Calculation of Individual and Societal Risk - which are yardsticks to indicate whether the risks
are acceptable, ALARP principle adopted from UK HSE shall be used for the purpose.
Comparison to Risk acceptance criteria - essentially to understand whether the risks posed
by the project are “Acceptable”, “As Low as Reasonably Practical (ALARP)” or
“Unacceptable”.
Provide recommendations for Risk Reduction
The flowchart representing risk assessment methodology has been provided in Figure 1-2.
Figure 1-3 and Figure 1-4 provide the typical layout of a jack up rig and drill ship that would be
used for drilling activities.
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Figure 1-2: Risk Assessment Methodology
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Figure 1-3: Typical Layout of Jackup Rig
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Figure 1-4: Typical Layout for Drill Ship
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1.1.4 HAZID (Hazard Identification)
This section looks into potential incidents, which could result in injuries or fatalities. For the
activities envisaged for this project, these incidents typically include the following:
Hydrocarbon Well-fluid releases - small, medium and large well fluid releases from
exploratory/appraisal drilling wells. Possibilities include blowouts (due to either downhole
or surface abnormality or possible cratering (a basin like opening in the Earth surface
surrounding a well caused by erupted action of gas, oil or water flowing uncontrolled
Loss of containment of fuels (HSD) and consequent pool fire on encountering an ignition
source.
Apart from the above categories, there are also “occupational” risks involved with working
on a Drilling Rig. These risks are not specifically dealt with in a “Quantitative” manner in the
QRA- however, their presence must be acknowledged qualitatively. These risks include:
Possibility of dropped objects on the drilling platform due to lifting of heavy
equipment including components like draw works, drilling pipe, tubing, drill bits,
Kelly, mud equipment, shale shakers, BOP components, power generating
equipment and others.
Single fatality occupational incidents such as trips and falls. These are more likely in
drilling rigs due to the hazardous nature of operations and general high congestion
and large extent of the manual operation involved.
Structural failure of the drilling rig due to excessive static or rotating loads,
earthquake, Cyclone, design defect, construction defect etc. It may be noted that
rotating loads are induced due to the specific rotating actions of the rotary drilling
mechanism (Drill string rotated by means of rotary table etc.)
Loss of Buoyancy of the installation.
Helicopter collision.
Risk due to collision of another ship.
The HAZID is the front ends of the QRA process failure scenarios for modeling are selected. These
two categories are discussed in more detail in the following sections.
1.1.4.1 Hydrocarbon Releases- Important Issues
The events of blowouts during drilling are divided in the databases according to the
consequences and well control success. Such blow outs can be ignited or un-ignited. Blow outs
are uncontrolled sudden expulsions of oil, gas, water or drilling fluids from wells to the surface
which result in loss of control of the well.
Sources of hydrocarbon release during the drilling phase include the following:
P a g e | 8
Dissolved gas which comes out of solution under reduced pressure often while drilling at
near balance or under balance hydrostatically or as trip gas during a round trip to pull the
drill string around from the hole. Such sources could include releases at bell nipple and
around mud return flow line outlet, shale shakers and active mud pits.
As a “kick”, this occurs as the downhole formation pressure unexpectedly exceeds the
hydrostatic head of the circulating mud column. Significant releases can occur from the
vent lines of the mud /gas separator and other locations.
From residual mud on the surface of the drill pipe being racked in the derrick during the
round trip, or on production of coil tubing being withdrawn from the hole, or from core
samples laid out for inspection. Usually any liquid hydrocarbon system entering the down
hole under normal circumstances are very much diluted by the mud system. However,
under conditions of under balanced drilling, the proportion of hydrocarbons in mud
returns may be significant with a potential for continuous release.
Small hydrocarbon release from rotating equipment, pipes and pump work occurring
during normal operations/ maintenance during drilling. These are not likely to be
significant in open derrick or mast structures.
Possible shallow gas blowout – these may occur at sumps or drainage tanks and be
conveyed by vents or drains to areas of potential ignition sources resulting in fire/
explosion.
Vapour present in oily drainage systems, vents, and ducting.
Flammable materials used in drilling operations (oil based drilling fluids)- release points
could include high pressure mud points, mud degassing equipment, shale shaker, mud
pits and active tanks etc.
Protection against Blowouts
The primary protections against blow outs during drilling are the BOP’s or Blow out Preventers.
These are used to shut in and control the well in the event of gas or oil being encountered at
pressures higher than those exerted by the column of mud in the hole.
BOPs typically consists of 2-3 ram preventers designed at high pressures- (ram preventer is
basically a double operated valve with one ram or gate on each side of the bore hole). The BOPS
are hydraulically operated with a second remote control panel situated someway away from the
rig for use in emergencies when the rig is unapproachable. Connected to the side of the ram type
preventers (usually below the blind rams) are the kill and choke lines which are used to control
the well in the event of any imbalance between the drilling fluid column pressure and the
formation pressure. Both lines are high pressure 2-3 inch hydraulic pipes, the kill line being
connected to the mud circulation system and the high pressure cement pumps and the choke line
leading to a back pressure control Manifold and the mud degasser unit.
P a g e | 9
In the event of the high pressure kick with the drill string in the hole, the BOP is closed around
the drill pipe and the mud is circulated down the drill string and back to the mud tanks through
the choke line and back pressure manifold. The manifold consists of a series of valves and chokes
- the choke can be adjusted to give the orifice opening required such as to give a back pressure
on the well in order to control it. There should be two chokes in order to allow maintenance on
one.
If a kick or blow out occurs with the drill string out of the hole, the blind rams are closed and
heavy mud is pumped into the well through the kill line. Any gas can be bled off through the
choke line and fluids are usually squeezed back into the formation.
The correct installation of the drilling equipment and the operational reliability of the BOPs are
essential for the safety of well drilling operation. In addition, initial and periodic testing of the
BOPs, choke and kill manifolds, high pressure/ heavy mud system etc before installation and
periodically is absolutely essential. Most important is the presence of highly trained skilled
personnel on the rig. In addition, the use of the correct drilling fluid in the circulatory system is
extremely vital.
The drilling fluid basically does the following:
To cool and lubricate the drilling bit and the drill string
To remove drill solids and allowing the release at their surface.
To form a gel to suspend the drill cuttings and any fluid material when the column is static
To control sub surface pressures
To prevent squeezing and caving if formations
To plaster the sides of the borehole
To minimize the damage to any potential production zone.
Pressures associated with the sub surface oil, gas or water can be controlled by increasing the
specific gravity of the fluid and thereby by reducing the hydrostatic head of the drilling fluid
column.
The squeezing of formations in the drilled hole can be checked by increasing the hydrostatic head
of the drilling fluid.
Special additives for the drilling fluid for controlling viscosity, lubricating properties, gelling
properties etc. play an important role in the drilling fluid integrity. Sealing agents such as
cellulose, mica can also be added to make up the drilling fluid loss into the porous and fractured
formations.
P a g e | 10
1.1.4.2 Release of Other Flammable Material
HSD is used in the mobile generators at the drill sites to cater to the power requirement of the
drill equipment, area lighting, etc. Storage of fuels would primarily pose fire hazard. The credible
accident scenarios include:
Catastrophic tank rupture (Large Leak)
Leak from a 3” pipeline (Medium Leak)
1” leak from the tank/pipe/flange (Small Leak)
The catastrophic Rupture (CR) of the tank would involve a large leak/big hole in the tank or
disengagement of a joint/large leak from a flange sufficient enough to discharge tank inventory in
a short time. The spilled material shall get filled into the dyke area. In presence of an ignition
source, it may catch fire and result in Pool fire of the dyke area.
A 6” leak from a pipeline or a flange shall have similar consequences as to CR, only the time for
loss of containment may be more. Fire being a surface phenomenon, the pool fire in the dyke
area would pose similar heat radiation to the surrounding area.
A 1” leak from the tank or the pipeline would result in the loss of inventory at a much reduced
rate. Counter-measures shall be available to arrest the leak within reasonable time. With a
limited loss of inventory, the damage distances in such case would be less in comparison to the
above case.
The tank design and construction takes into account the possible stress loads imposed due to
exploration and appraisal activities at the drill site. This would be in-built into the design for safe
operation. Dyke with adequate capacity (110%) is being provided to contain the spill, if any.
Standard well area inspection and maintenance procedures of CIL shall be implemented at the
exploratory and appraisal wells to identify any abnormalities.
1.1.5 Selection of Failure Scenarios
Potential release rates for a material from containment depend significantly on the initial
operating conditions. Factors affecting the “release rate” include the initial pressure,
temperature, hole size, hole roughness, hole orientation, gas properties, atmospheric conditions
and many other parameters.
Both, the complexity of study and the number of incident outcome cases are affected by the
range of initiating events and incidents covered. This not only reflects the inclusion of accidents
and / or non-accident-initiated events, but also the size of those events.
Loss of Containment- leak sizes
P a g e | 11
It must be understood that there are an infinite range of possible releases of flammable material
on the facilities For example, a hole could appear at any point in a well, at any time of the year
and the hole could have any size (right from pinhole to catastrophic line guillotine rupture) and
also possibly any shape! In order to allow management of the study, it is per force necessary to
divide the infinite range into a number of smaller ranges through representation as a single event
or a failure case. In the study, only small, medium and large well fluid blowouts were considered.
Hydrocarbon Leaks due to Loss of Containment (Leak during Well Testing) were not taken into
consideration since they are likely to be controlled about 95% of the time. The category includes
releases that may be isolated from the reservoir fluids, typically release from the well testing
equipment and mud line.
The following four scenarios have been quantitatively evaluated in the study:
Small and medium size holes - these typically represent failures such as gasket leaks, flange
leaks etc. This scenario has been considered as 1” leak for HSD
Medium leaks – these typically represent disengagement of flanges, full bore failure of
pipelines, large leaks from flanged joints, etc. This scenario has been considered as a 3” leak
of HSD.
Large holes 6” leak– these typically represent “catastrophic” or “guillotine” rupture scenarios.
This scenario has been considered as a Catastrophic Failure of HSD Tank.
Well Blow out case. This has been considered as Well Blow out scenario involving crude oil.
The selection of initiating events and incidents should take into account the goals or objectives of
the study. The main reasons for including release sizes other than the catastrophic are to reduce
the conservatism in an analysis and to better understand the relative contributions to risk of
small versus large releases. Only leakage events leading to possibility of serious injury are
considered in the study.
1.1.6 Consequence Analysis
Consequence analysis involves the calculation of the initial “release rate” and then predicting the
consequence of the release through computer modeling- it forms an important ingredient in the
QRA approach. Consequence analysis is a complex procedure involving numerous calculations. It
must also be noted that a single starting incident could have numerous outcomes depending
upon factors such as escalation, ignition and others. The various factors of importance in this
study with respect to consequence analysis are described below.
1.1.6.1 Consequence Analysis for Blowouts
A blowout on the topsides may take one of several forms and release locations. Any release not
immediately ignited would give a flammable vapour cloud, which could cause a vapour cloud
explosion in the drill floor or the mud pit areas.
P a g e | 12
A pressurized jet release could lead to a very large jet fire, producing high levels of thermal
radiation. The flame could impinge on structural members in the derrick. These could then fail as
they lose their mechanical properties at high temperature. This may lead to objects falling from
the derrick and causing more damage below, especially if the derrick has already been weakened
by the blast from a vapour cloud explosion. If the fire continues for a long period (say one to two
hours) then the derrick may collapse causing serious damage to surrounding areas. However,
evacuation is expected to have occurred by any available means before this time.
Unburnt oil from a potential blowout will typically form running or evaporating pools, which
could create a hazard from heat and smoke in all areas that the pools reach. If the blow out
originates on the drill floor then the burning oil will run over the side of the drill floor.
Blowout release rate is taken as 13.25 kg/s. It is expected that the uncontrolled release of fluids
on the drill floor will ignite almost immediately and that the resulting fire will engulf the drill
floor. Higher ignition probabilities are expected for large releases compared to smaller releases.
The flames are likely to impinge on structural members on the drill floor. These may fail as they
lose their mechanical properties at high temperature. This may lead to objects falling from the
derrick and causing more damage below. If the fire continues for a long period (blowouts have
been reported to last for several days) then the entire rig will be lost. This is an issue for asset
damage rather than fatality predictions since persons in the rig would have left the fire location
by then!
1.1.6.2 Consequence Analysis for HSD Pool Fires
HSD stored in steel tanks will have steel low height dyke wall as secondary containment of
adequate capacity to impound any accidental leaks.
As mentioned, liquid releases may result in pool fires within the drilling area. Pool fires have been
assumed to be confined, since there are steel low height dykes provided to arrest the liquid
movement. Unlike a jet fire, the pool flame has negligible momentum and is treated as an upright
cylinder, with some wind tilt.
1.1.6.3 Inventory
Inventory can get discharged to Environment due to Loss of Containment. Inventory Analysis is
commonly used in understanding the relative hazards and short listing of release scenarios and
plays an important role in regard to the potential hazard. The larger the inventory of a vessel or a
“system”, the larger the quantity of potential release. The potential release depends upon the
quantity of release, the properties of the materials and the operating conditions (pressure,
temperature etc. described later). Table 1-1 to Table 1-4 provides a summary of input parameters
for consequence modeling for HSD and Blowout scenarios.
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Table 1-1: Input Parameter Summary – HSD on Jackup rig
Material Identifier HSD
Type of Vessel Unpressurised (At Atmospheric
Pressure) Pressure Specification Pressure Not Used
Discharge Temperature 31 0C
Phase Liquid
Tank Head 8.5 m
Total Mass Inventory of Material Discharge 544512 Kg
Volume inventory of Material 640 KL
No of tanks (assume) 4
Mass inventory of Material per tank 136128 Kg
Volume inventory of Material per tank 160 KL
Bund
Area of Dike 36 m2
Bund Height 1.2 m
HSD leakage 1 inch leak from storage tank on Jackup rig (10% mass released assumption)
13612.8 Kg
HSD leakage 3 inch leak from storage tank on Jackup rig (30% mass released assumption)
40838.4 Kg
HSD line leakage 6 inch leak from storage tank on Jackup rig (60% mass released assumption)
81676.8 Kg
Table 1-2: Input Parameter Summary – HSD on Drillship
Material Identifier HSD
Type of Vessel Unpressurised (At Atmospheric
Pressure)
Pressure Specification Pressure Not Used
Discharge Temperature 31 0C
Phase Liquid
Tank Head 18 m
Total Mass Inventory of Material Discharge 6806400 Kg
No of storage tanks (assume) 4
Mass inventory per tank 1701600 kg
Volume inventory of Material 8000 KL
Volume inventory of Material per tank 2000 KL
Bund
Area of Dike 225 m2
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Bund Height 1.2 m
HSD leakage 1 inch leak from storage tank on Drill ship (10% mass released assumption)
170160 Kg
HSD leakage 3 inch leak from storage tank on Drill ship (30% mass released assumption)
510480 Kg
HSD leakage 6 inch leak from storage tank on Drill ship (60% mass released assumption)
1020960 Kg
Table 1-3: Input Parameter Summary for- Well Fluid Blow Out-2000m
Material Identifier Crude Oil
Vessel/Tank
Release Type Continuous
Release Rate (taken as 5 times the
maximum well flow rate)
13.25 Kg/s
Discharge velocity of the Well fluid 14.42 m/s
Expected formation pressure @
500-2000m
700-4000 psi
Temperature @ 2000m 60-100 deg c
Table 1-4: Input Parameter Summary – Well Fluid Blow Out-5000m
Material Identifier Crude Oil
Vessel/Tank
Release Type Continuous
Release Rate (taken as 5 times the
maximum well flow rate)
13.25 Kg/s
Discharge velocity of the Well fluid 36 m/s
Expected formation pressure@
2001-5000m
2900-10000 psi
Temperature @ 5000m 150-200 deg c
1.1.7 Consequence Calculations
Using the failure case data developed, the consequence program of the software package,
undertakes consequence calculations for each identified failure.
For flammable materials, the software then proceeds to determine the effect zones for the
various possible outcomes of such a release. A release can ignite as the result of the event, which
causes it, or can ignite close to the source before the flammable cloud has travelled away from
the release source. If a release does not ignite in this way, and it is still flammable, it can be
ignited at a number of points.
P a g e | 15
The particular outcome(s) modeled depends on the behavior of the release and the dilution
regimes, which exist. This can be quite complex. The program undertakes these calculations for
the selected representative meteorological conditions, which are derived from the annual
meteorological conditions in the study area.
Consequence models are used to predict the physical behavior of hazardous incidents. Some
models only calculate the effect of a limited number of physical processes, like discharge or
radiation effects. More complex models interlink the various steps in consequence modeling into
one package.
Important inputs to the Consequence analysis calculations include the weather conditions and
the damage criteria, both of which are discussed in the following pages.
1.1.7.1 Weather Conditions
The weather stability class is normally Class D on sunny days. The average wind speed most of
the time is 5 m/s. Combining this with stability class D, consequence modeling is done in this
study for weather 5D.
The ambient condition considered in this study is as under:
Average Ambient Temperature: 31˚C
Average Humidity: 78 (%)
Table 1-5: Definition of Pasquill Stability Class
SURFACE WIND SPEED (M/S)
INSOLATION DAY TIME NIGHT SKY
Strong Moderate Thinly Overcast <3/8 Cloud
<2 A A/B - -
2-3 A/B B E F
3-5 B B/C D E
5-6 C C/D D D
>6 C D D D
The six representative weather classes on which the analysis is based are detailed in Table 1-6.
Table 1-6: Representative Weather Class
WEATHER CLASS WIND SPEED (m/s) PASQUILL STABILITY
I 3 B
II 1.5 D
III 5 D
IV 9 D
V 5 E
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WEATHER CLASS WIND SPEED (m/s) PASQUILL STABILITY
VI 1.5 F
Source:-Handbook of Chemical Hazard Analysis Procedures volume-I
1.1.7.2 Damage Criteria
Heat Radiation
The consequence caused by exposure to heat radiation is a function of:
The radiation energy onto the human body [kW/m2];
The exposure duration [sec];
The protection of the skin tissue (clothed or naked body).
It can be assumed that people would be able to find a cover or a shield against thermal radiation
in 30 seconds time. Furthermore, 100% lethality may be assumed for all people suffering from
direct contact with flames, such as the pool fire, a flash fire or a jet flame. The effects due to
relatively lesser incident radiation intensity are given below.
In the study, the following criteria were used for estimation of heat radiation due to fire fatalities:
37.5 kw/m2- represents 99% fatalities based on 30 s exposure.
9.46 kw/m2- represents 50% fatalities based on 30 s exposure time.
6.31 kw/m2 represents 10% fatality based on 30 s exposure time.
4.73 Kw/m2 represents 1% fatality based on 30 s exposure time
These values may be compared to commonly encountered heat radiation values:
Table 1-7: Effects Due To Incident Radiation
Incident Radiation
– kw/m2
Type of Damage
0.7 Equivalent to Solar Radiation
1.6 No discomfort for long exposure
4.0 Sufficient to cause pain within 20 sec. Blistering of skin (first
degree burns are likely)
9.5 Pain threshold reached after 8 sec. second degree burns after 20
sec.
12.5 Minimum energy required for piloted ignition of wood, melting
plastic tubing’s etc.
Pool fires are more difficult to predict as the shape and size depends a lot on the terrain, the
mode of 2 phase release, the aerosol formation and other factors. The damage distances are
relatively less. Pools have been assumed to be “unconfined” since there are as such NO specific
barriers to restrict the fluid flow. Heat radiation distances are based on 30 seconds exposure. It is
highly probable on the installation that personnel on the rig would be able to find a safe shelter
within the period.
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1.1.8 Failure Frequency Analysis
Frequency analysis involves estimating the likelihood of each of the failure cases identified during
the hazard identification stage. The analysis of frequencies of occurrences for the key hazards
that has been listed out is important to assess the likelihood of such hazards to actually unfold
during the lifecycle of the project. The frequency analysis approach for the proposed project is
based primarily on historical accident frequency data and judgmental evaluation. Major oil and
gas industry information sources viz. statistical data, historical records and global industry
experience were considered during the frequency analysis of the major identified risks.
For QRA for the proposed project, various accident statistics and published oil industry databases
have been consulted for arriving at probable frequencies of identified hazards. Data base
published by the International Association of Oil & Gas Producers (OGP) has been referred to.
Table 1-8: Failure Frequency Data
ITEM FAILURE FREQUENCY
HSD Storage Tank Leak
For 1” leak 1.12E-04/year
For 3” leak 9.30E-05/year
For Catastrophic Rupture 6 inch 9.30E-05/year
Blowout 1.6E-4/year
Helicopter 5.6E-06 (OGP Data base report no. 434- 2010)
Table 1-9: Generic failure data
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1.1.9 Calculation of Individual and Societal Risk
Individual Risk or IR represents the geographical distribution of risk to any individual.
Societal Risk is represents the risk the project poses to society as a whole. The Societal Risk or
Group risk (F-N) curves indicate the cumulative frequency (F) of (N) or more fatalities. Society is
typically not willing to accept industrial installations that result in many fatalities, even with a
low frequency rate.
The estimation of risks in the software is done through estimation of “risks” attributed to each
failure case by determining the impact in terms of fatalities. In this step, the hazard or effect zone
information, ignition source, population distribution, meteorological data and other relevant
details are combined to determine risks.
In order to estimate risks (IR or SR), the number of fatalities for each incident outcome case is
calculated and the frequencies of outcomes with equal fatalities summed up.
1.1.10 Comparison to Risk Acceptance Criteria
This penultimate step compares the estimated risk with respect to the Company’s internal risk
acceptability criteria or specific legislative or regulatory (as applicable in the country of operation)
risk acceptability criteria. In this step, the risk “band” is determined- typically, the project risk
band is determined to be either negligible, acceptable, not acceptable. The risk assessment stage
determines whether the risks are “Broadly Acceptable”, “Intolerable” or “Tolerable if ALARP”.
1.1.10.1 CIL Risk Acceptability Criteria
CIL risk acceptability criteria is derived from interpretation of the risk acceptability criteria
published by UK HSE-92 and is applied when assessing the tolerability of risk to persons for CIL
facilities, sites, combined operations or activities. It broadly indicates as follows:
(a) Individual risk to any worker above 10-3 per annum shall be considered intolerable and
fundamental risk reduction improvements are required.
(b) Individual risk below 10-3 for but above 10-6 per annum for any worker shall be considered
tolerable if it can be demonstrated that the risks are As Low As Reasonably Practicable
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(ALARP).
(c) Individual risk below 10-6 per annum for any worker shall be considered as broadly
acceptable and no further improvements are considered necessary provided documented
control measures are in place and maintained.
(d) Individual risk to any member of the general public as a result of CIL Businesses activities shall
be considered as intolerable if greater than10-4 per annum, broadly acceptable if less than
10-6 per annum and shall be reduced to As Low As Reasonably Practicable (ALARP) between
these limits.
For new facilities, CIL shall strive to achieve lower risks compared with that typical for existing
facilities, down at least to an individual risk to any worker of 10-4 per annum, by the appropriate
use of best practice including technology and management techniques. For existing facilities,
higher risk levels may be tolerated provided that they are As Low As Reasonably Practicable
(ALARP) and meet the minimum standards given herein.
As facilities under the proposed project may be considered as “new” facilities; it is proposed that
individual risk to any worker above 10-4 per annum shall be considered intolerable. The risk
acceptability criteria are indicated in the following pages.
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Figure 1-5: UK HSE- Individual Risk Criteria
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The UK-HSE Off-site Group Risk criteria is shown at Figure 1-6.
Figure 1-6: UK HSE-Offsite Group Risk Criteria
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1.1.11 Risk Reduction Recommendations
This step analyses the risks estimated, their tolerability with respect to the risk acceptability
criteria.
In case risks are found to fall in the “Unacceptable” region, risk reduction recommendations
aimed at bringing risks to within the “Tolerable region if ALARP” are proposed. In such
conditions, the Cost Benefit Analysis (CBA) is also carried out for specific risk reduction measures
in order to “quantify” them.
In case risks have been found to be the ALARP or Broadly Acceptable region, recommendations
may still be suggested for generic risk reduction based on industry best practice. Such risk
reduction recommendations are not “quantified” or mandatory, but are nevertheless proposed
for safer operation of the facilities.
1.1.12 Analysis of Results
The results of consequence analysis carried out for the identified four accident scenarios are
given below:
Table 1-10: Consequence Analysis-Damage distance in m
S.No. Isolatable section Leak Size Pool fire-Intensity Radii Damage Distance (m)
4.73 KW/m2
6.31 KW/m2
9.46 KW/m2
37.5 KW/m2
1 Well blowout- 5000m Full Bore 177 162 132 ----
2 Well blowout- 2000m Full Bore 135 120 85 ----
3 HSD leakage on Jackup rig 1 inch 32.1 30.1 27.1 12.2
4 HSD leakage on Jackup rig 3 inch 41 38 33 15.2
5 HSD leakage on Jackup rig 6 inch (CR) 40.6 37.6 32.6 14.7
6 HSD leakage on Drill Ship 1inch 46.5 45.2 43.5 37.9
7 HSD leakage on Drill Ship 3inch 74 70 63.2 ----
8 HSD leakage on Drill Ship 6 inch (CR) 90 79 63 ----
9 Helicopter Crash CR 21.5 19.2 16.7 5.7
10 HSD Line leakage 1 inch 29 26.3 24 11.2
11 HSD Line leakage 3 inch 45 41 35 ----
12 HSD Line leakage 6 inch (CR) 45.8 42.2 35.7 ----
The main conclusions for the Jackup rig and Semi submersible Drill Ship option are as follows:
1. From the F-N Curve, it is seen that the risks are within the “ALARP” band for both Jackup
Rig and Semi-sub drill ship- this indicates that no further “specific” risk reduction options
need to be implemented. Only large incidents are likely to affect persons in the Living
Quarters (LQ). Otherwise, the smaller incidents are likely to only affect rig personnel on
the Rig Floor and NOT personnel in the LQ. The LQ will be 2 hour fire rated and have
P a g e | 24
appropriate safety arrangements for rescue, escape paths and also be equipped with Fast
Rescue Craft (FCR) and lifeboats/life rafts etc. In line with NFPA 101 Life SAFETY Code and
SOLAS (Safety of Life at Sea). Helicopter and FCR evacuation is available in the LQ.
2. Overall risk to personnel at the site for the Jackup Rig is in the region of 1E-05 to 1E-09
which is well within the acceptable risk region.
3. Overall risk to personnel at the site for the semi-sub drill ship is in the region of 1E-04 to
1E-0 9 which is within the acceptable risk region.
4. The maximum damage distance for 4.73 kW/M2 which corresponds to 1% lethality level
for a 30 s exposure is for well blow out @ 5000 m depth catastrophic rupture, for which
the damage distance is approximately 177 m.
5. The maximum damage distance for 37.5 kW/M2 which corresponds to 100% lethality
level for a 30 s exposure is for well blow out @ 5000m depth catastrophic rupture, for
which the damage distance will be 62 m approx.
6. Diesel tank /piping leak incidents are typically expected to have local damage only and
not spread through the facility
1.1.13 Recommendations
From the F-N Curve and Iso Risk Contours, risks are found to be within the ALARP region, hence
cost benefit analysis is not necessary to bring about further risk reduction. However, the
following actions must be ensured to ensure that the risks remain reasonable and do not
escalate:
As Living Quarters are likely to be affected due to large incidents on the Rig Floor, it is
essential to ensure the upkeep of the safety devices (Smoke Detection, Fast Rescue Craft
(FRC), escape routes, ensure Mock evacuation drills etc are carried out periodically.
Escape routes for personnel on the Drill Floor towards the LQ must be properly protected
and kept free of any debris/obstructions etc. to ensure minimum loss of life.
The correct installation of the safety critical equipment and their operational reliability
are essential for the safety of the facility. In addition, initial and periodic testing of the
safety critical equipment before installation and periodically is absolutely essential and
the same must be ensured.
Storage tank dykes must be drained periodically during the rainy season in particular.
Key non routine activities must be preceded by a Job Safety Analysis and Job or Task Risk
Assessment involving key personnel that would be working on the facility.
Work Permit System must be implemented during the construction and operational
phases of the project to safeguard against any accidents.
Trips and falls hazard, electrical hazards etc. must be minimized through periodic safety
audits and site inspections using third party and CIL Internal audit teams. Actions arising
out of the audits must be implemented in a time bound manner and followed up for
closure.
CIL must ensure suitable training to all personnel (Company as well as Contractor
personnel) to help prevent incidents/ accidents- such training must be refreshed
P a g e | 25
periodically and a list of trained personnel must be maintained by CIL.
Proper periodic maintenance for all critical components of the rigs and connected
equipment/ systems must be ensured to minimize failure potential.
As hydrocarbon related risks exist at the facility, ignition source control must be ensured
during routine and non routine operations.
Table 1-11: Accident Events at Jackup Rig/ Semi-sub Drill ship
Type of Hazardous Event Specific Accident Events included in QRA
Hydrocarbon Releases Uncontrolled Blow out
Release from Diesel tanks – Catastrophic failure,
medium and small leaks
Occupational accidents Single fatality accidents such as slips, trips, falls,
dropped objects etc.
Structural Failure Structural collapse of drilling rig/drilling ship due to
static or rotating load, fatigue, construction defect,
design defect, earthquakes, etc.
The FN Curve drawn for this project is given at Figure 1-7 to Figure 1-10 below. The FN Curve
represents combined risk covering all the identified scenarios.
Figure 1-7: FN Curve for Jackup rig (Day Time)
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Figure 1-8: FN Curve for Jackup rig (NightTime)
From the above figure it can be seen that the combined risk from the identified accident
scenarios is in the AS LOW AS REASONABLY POSSIBLE or in the “ALARP”-band. The project does
not pose any intolerable risk to the population of the area.
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Figure 1-9: FN Curve for Semi-Sub/Drill ship (DayTime)
Figure 1-10: FN Curve for Semi-Sub/Drill ship (Night Time)
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From the above figure it can be seen that the combined risk from the identified accident
scenarios is in the AS LOW AS REASONABLY POSSIBLE or in the “ALARP”-band . The project does
not pose any intolerable risk to the population of the area.
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Figure 1-11: Overall Risk contours on Jackup Rig Typical Layout
Figure 4.4 ISO-Risk contours on Semi-Sub/ Drill Ship Typical Layout
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Figure 1-12: Overall Risk contours on Drillship Typical Layout
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1.2 OIL SPILL MODELLING
A hydrodynamic and oil spill modelling study was undertaken for the proposed project.
Hydrodynamic modelling was required to evaluate the flow conditions in and around the exploration
sites. Further, these hydrodynamic conditions were used to assess the dispersion of oil spills from
the exploration sites. The proposed mathematical modelling study was carried for typical periods of
South West and North East monsoon seasons. The output of the hydrodynamic modelling and oil
spill study is summarised in the following sections, which documents the estimation of
hydrodynamic conditions and assessment of the dispersion of oil spill of the proposed one far-shore
and two near-shore exploration locations.
1.2.1 Key Activities Undertaken
The key activities undertaken for the modelling exercise include:
Extraction of winds from the open source database and analysis of these wind conditions for
annual and seasonal.
Evaluation of hydrodynamic conditions within and around the proposed exploration sites.
Assessment of the oil spill dispersion for the selected exploration locations based on
hydrodynamic modelling results and wind conditions.
Estimation of oil spill dispersion during SW and NE monsoon seasons.
1.2.2 Data Sources
The following datasets were used in this study:
Bathymetric survey data (Figure 1-13) around the area of interest
Open source wind climate data for NE and SW monsoon period downloaded from the
National Center of Environmental Prediction (NCEP) GFS Numerical Weather Prediction
Model, shown in Figure 1-14, Figure 1-15 and Figure 1-16.
Digitized admiralty charts of the area of interest,
TPXO1 tidal constituents for hydrodynamic modelling boundary conditions,
Tides extracted at 6 locations from TIPs global model for calibration.
1 is a current version of a global model of ocean tides
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Figure 1-13: Bathymetry of the area of Interest
Figure 1-14: Annual Wind Rose off Chirala
N
NE
E
SE
S
SW
W
NW
Calm0.2%
5
10
15%
0-2
2-4
4-6
6-8
8-10
10+
U (m/s)
Offshore Wind Rose at 15N, 81E
NCEP Offshore Wind Data from Jan.2013 to Jan.2014
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Figure 1-15: Wind rose off Chirala – SW Monsoon
Figure 1-16: Wind rose off Chirala – NE Monsoon
1.2.3 Hydrodynamic Modelling
In order to compute the flow conditions and assessment of dispersion of oil spill from the
exploration sites a local hydrodynamic model developed and calibrated against the observed data.
As currents are main driving force of the oil spills therefore the accurate estimation of flow
conditions was of utmost important. The output from the hydrodynamic model was then used as
forcing in a tracking model (GNOME) to simulate oil dispersion.
The hydrodynamic module within the Delft3D package has been used to simulate and evaluate the
flow pattern in the area of interest. The Delft3D-Flow model solves the 2D or 3D shallow water
N
NE
E
SE
S
SW
W
NW
Calm0.2%
10
20
30
40%
0-2
2-4
4-6
6-8
8-10
10-12
12+
U (m/s)
Offshore Wind Rose at 15N, 81E-SW Monsoon
NCEP Offshore Wind Data from Jan.2013 to Jan.2014
N
NE
E
SE
S
SW
W
NW
Calm0.2%
5
10
15
20
25%
0-2
2-4
4-6
6-8
8-10
10-12
12+
U (m/s)
Offshore Wind Rose at 15N, 81E-NE Monsoon
NCEP Offshore Wind Data from Jan.2013 to Jan.2014
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equations on a rectangular or curvilinear grid (Refer to Annexure IV of EIA Report). For the modelling
study, Delft3D has been simulated in a 2D depth-averaged configuration. The 2D depth averaged
hydrodynamic model provides sufficient detail of flow circulation to simulate further the oil spill
model (GNOME). Details of the hydrodynamic model are presented in the subsequent sections of
this report.
1.2.3.1 Computational Grid and Bathymetry
The site-specific local curvilinear hydrodynamic model grid was built as shown in Figure 1-17. The
model grid is presented in the UTM-44N co-ordinate system and WGS84 datum. The grid covers an
area of approximately 150km x 80 km.
Figure 1-17: Computational hydrodynamic model grid
The bathymetry for the model was interpolated on to the computational grid using Delft3DQuickin
module. For the present study, depth information has been compiled from bathymetry surveys
(provided by client) and digitised Admiralty/Indian naval hydrographic charts. Mean Sea Level (MSL)
is taken as reference level. The bottom depths were therefore corrected to MSL with the relation:
MSL = CD + 0.9m, which is based on the information provided in the Indian Tide Table (ITT) and
Admiralty charts. Figure 1-18 shows model bathymetry.
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Figure 1-18: Model Bathymetry
1.2.3.2 Boundary Conditions
Tide
The boundary conditions for the model were based on tidal components, derived from TPXO-7.2
database. In total 11 tidal constituents (M2, S2, N2, K2, K1, O1, P1, Q1, MF, M4 and MN4) were used.
The phases of the components are with respect to UTC (or GMT), so the results should be shifted in
time to convert them to a local time zone.
Krishna River Discharge
The run-offs information of the Krishna River was extracted from the Integrated Hydrological Data
Book, 2012 published by Hydrological Data Directorate Information Systems organisation of water
planning & projects wing Central Water Commission, New Delhi.
The river discharge published at Prakasam Barrage Vijayawada and shows a large seasonal variation.
However, the average river discharge (14,080 m3/s) from the maximum (28,140 m3/s) and minimum
(18.95 m3/s) reported was used in the study.
Winds
The wind conditions at offshore location 15° N and 81°E off the project site were obtained from the
National Center of Environmental Prediction (NCEP). NCEP provides long-term offshore wind
conditions for the world oceans on a grid with 0.5° x 0.5° resolution. The offshore wind climate
derived from the NCEP database is presented in the form of wind roses. Figure 1-14 above shows the
annual offshore wind rose off Chirala. Seasonal wind roses are presented in Figure 1-15 and Figure
1-16.
Winds in this region are moderate with the hourly mean wind speed exceeds 12 m/s approximately
2.5% of the time. Wind speeds above 10 m/s mostly originates from directions between west and
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south. Although, small percentage of winds (less than 1% of the time) with speeds above 10 m/s was
observed from NE direction.
1.2.3.3 Model Calibration
Hydrodynamic model were calibrated against the observed tide extracted from TIPS global model at
six coastal stations within the model domain and location of these coastal stations were presented in
Figure 1-17 and Figure 1-18. The local (detailed) model was simulated with tidal boundary conditions
derived from the TPXO database, NCEP wind and Krishna river discharge applied at upstream
boundary. Figure 1-19 to Figure 1-24 shows the comparison of model simulated tide and tide
extracted from TIPS global model at 6 coastal stations. It could be clearly seen the comparison with
observed TIPS tides are in good agreement with model simulated tide.
Figure 1-19: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C1
Figure 1-20: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C2
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Figure 1-21: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C3
Figure 1-22: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C4
Figure 1-23: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C5
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Figure 1-24: Comparison of tide extracted from TIPS with simulated tide at location TIPS-C6
Current measurements for this region were not available to calibrate the model results. Literature
review indicated that the current speeds in this region are in the order of 0.15 to 0.30 m/s. Model
simulated currents with combination of astronomical tide, wind and Krishna river discharge
predicted the current speeds in the similar order of magnitude as reported in the literature.
These hydrodynamic conditions are sufficient for preliminary assessment of fate of the oil spills.
Therefore, we proceeded with oil spill dispersion study using the results from hydrodynamic
modelling.
1.2.3.4 Results
After model calibration, the detailed model was set up and run with proposed exploration sites.
Figure 1-25 shows the maximum flow field during the heavy winds in this region in the SW monsoon
period. Flow field during NE monsoon period during the heavy winds is presented in Figure 1-26. It
was observed that the current speeds are in the order of 0.15 to 0.35 m/s in the area of interest and
relatively higher during the SW monsoon due to stronger winds compared to NE monsoon.
Negligible current speeds less than 0.05 m/s were observed in the deeper waters during both the
seasons.
Figure 1-25: Maximum flow field during SW monsoon (July)
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Figure 1-26: Maximum flow field during NE monsoon (November)
1.2.4 Oil Spill Modelling
In order to assess the fate of the spilled oil from the exploration sites, GNOME model is used.
GNOME (General NOAA Oil Modelling Environment) is a two-dimensional Eulerian/Lagrangian oil
spill trajectory model that simulates the movement of oil due to winds, currents and spreading.
GNOME is freely available and may be run in “standard mode”, an automated mode used for spill
planning, and “diagnostic mode”, designed to accurately model real spills.
Currents are the main driving force for the movement the spilled oils in marine environment and for
the present study, output from the hydrodynamic modelling (Section 8.1.3) along with NCEP wind
data were used.
1.2.4.1 Model Setup
GNOME model was set up for real time scenarios in “diagnostic mode” using flow conditions
simulated by the hydrodynamic modelling and time varying NCEP wind speed/direction as movers.
1.2.4.2 Base map
Base map files represent the coastline/shoreline of the area of interest. Map file for the present
study was downloaded from the GOODS’ (GNOME Online Oceanographic Data Server) map
generator tool (http://gnome.orr.noaa.gov/goods). This tool produces shoreline data in a boundary
file atlas (BNA) format. BNA maps use vector shorelines which are rasterized by GNOME into a land
and water bitmap in order to track the oil beaching.
1.2.4.3 Movers – Currents and Winds
GNOME accepts currents and wind as movers. The movement of the oil is calculated from the u
(east-west) and v (north-south) velocity components. Hydrodynamic model output of u-currents and
v-currents were extracted and written in NetCDF format for the entire simulation period.
Time varying NCEP wind speed and direction applied spatially uniformly over the entire domain was
defined as another mover for the present GNOME model.
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1.2.4.4 Oil Type and Quantity
Oil spills in GNOME can be modelled as up to 10,000 lagrangian elements (LEs), each of which have
parameters assigned including location, release time, age, pollutant type, and status. The status of
each LE may be floating, beached, evaporated or off the map, and a mass balance summary provided
in GNOME shows the proportion of the total spill in each category throughout the simulation.
In this present study, the oil type considered is ‘non-weathering’ type2 which is typically used for all
the oil spill trajectory prediction studies. The spilled size considered is 10,000 barrels, which
represents a worst case scenario. The spilled 10,000 barrels of oil has been modelled as 10,000
splots, such that each splot represents one barrel of spilled oil. Table 1-12 presents the details of oil
parameters.
Table 1-12: Details of Aspects Considered for Modelling
Sl. No. Parameters Value/Type
1. Oil Type Non-Weathering oil
2. Quantity of oil Spilled 10,000 barrels
3. Spill Type Instant Release
4. Total no of Spill Locations 3
5. Seasons North East monsoon (Oct - Dec) and South West monsoon (Jun – Aug)
6. Total no of simulations 8
7. Modelling period 84 hours
8. Model Time step 1 hour
1.2.4.5 Oil Spill locations
As per the drilling plan, one near shore and two far shore exploration sites were considered in the
GNOME model for oil spill modelling study. Table 1-13 presents the co-ordinate of the oil spill
locations and shown in Figure 1-27.
Table 1-13: Co-ordinates of the oil spill locations
Code Latitude Longitude Type of Location
S1 15°41'52.74"N 80°23'38.79"E Nearshore
S6 15°34'3.31"N 80°45'47.29"E Far shore
S7 15°31'23.78"N 80°32'35.77"E Far shore
2 Non weathering oil is an oil type that does not change chemically or physically over time in the marine
environment. Weathering Processes like evaporation, emulsification etc., affect spills and no-weathering oils doesn’t considered these processes hence the trajectory oil spill analysis for non-weathering type represents worst case scenario.
P a g e | 41
Figure 1-27: Oil Spill Locations
1.2.4.6 GNOME Results
The amount of oil beached was output from the model 12, 24, 48 and 72 hours. Error! Reference
source not found. shows the GNOME model predicted dispersion of spilled oil from the nearshore
location (S1) during NE monsoon after 12, 24, 48 and 72 hours duration.
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Figure 1-28: Dispersion of spilled oil at near shore location S1- NE Monsoon
Dispersion of spilled oil at near shore location S1 after 12 hrs – NE Monsoon
Dispersion of spilled oil at near shore location S1 after 24 hrs – NE Monsoon
Dispersion of spilled oil at near shore location S1 after 48 hrs – NE Monsoon
Dispersion of spilled oil at near shore location S1 after 72 hrs – NE Monsoon
The GNOME model predicted dispersion of spilled oil from the nearshore location (S1) during SW
monsoon after 12, 24, 48 and 72 hours duration are presented in Error! Reference source not
found..
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Figure 1-29: Dispersion of spilled oil at offshore location S1- SW Monsoon
Dispersion of spilled oil at offshore location S1 after 12 hrs – SW Monsoon
Dispersion of spilled oil at offshore location S1 after 24 hrs – SW Monsoon
Dispersion of spilled oil at offshore location S1 after 48 hrs – SW Monsoon
Dispersion of spilled oil at offshore location S1 after 72 hrs – SW Monsoon
Figure 1-30 shows the GNOME model predicted dispersion of spilled oil from the far shore location
(S6) during NE monsoon after 12, 24, 48 and 72 hours duration.
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Figure 1-30: Dispersion of spilled oil at far shore location S6- NE Monsoon
Dispersion of spilled oil at far shore location S6 after 12 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S6 after 24 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S6 after 48 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S6 after 72 hrs – NE Monsoon
Similarly, the GNOME model predicted dispersion of spilled oil from the far shore location (S6)
during SW monsoon after 12, 24, 48 and 72 hours duration are presented in Figure 1-31. The change
in direction of wind takes the spill in the opposite direction away from the shores.
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Figure 1-31: Dispersion of spilled oil at far shore location S6- SW Monsoon
Dispersion of spilled oil at far shore location S6 after 12 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S6 after 24 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S6 after 48 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S6 after 72 hrs – SW Monsoon
It can be inferred from the above figures that the spilled oil at far shore exploration site (S6) is
floating on the seawater surface even after 72 hours. The spilled oil leaves the model domain
between 48 and 72 hrs of simulation.
Figure 1-32 shows the GNOME model predicted dispersion of spilled oil from the far shore location
(S7) during NE monsoon after 12, 24, 48 and 72 hours duration.
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Figure 1-32: Dispersion of spilled oil at far shore location S7- NE Monsoon
Dispersion of spilled oil at far shore location S7 after 12 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S7 after 24 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S7 after 48 hrs – NE Monsoon
Dispersion of spilled oil at far shore location S7 after 72 hrs – NE Monsoon
Similarly, the GNOME model predicted dispersion of spilled oil from the far shore location (S7)
during SW monsoon after 12, 24, 48 and 72 hours duration are presented in Figure 1-33.
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Figure 1-33: Dispersion of spilled oil at far shore location S7- SW Monsoon
Dispersion of spilled oil at far shore location S7 after 12 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S7 after 24 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S7 after 48 hrs – SW Monsoon
Dispersion of spilled oil at far shore location S7 after 72 hrs – SW Monsoon
Dispersion results at far shore exploration site (S7) indicate that the spilled oil was floating on the
seawater surface even after 72 hours during the SW monsoon. Whereas, the spilled oil is likely to be
beached in 72 hours of the release time during NE monsoon.
1.2.5 Conclusions and Recommendations
Overall the model predicts the dispersion of spilled oil at all three locations satisfactory. However,
the hydrodynamic model should be calibrated against the site measured current magnitude/
direction and re-assess the impact of dispersion of oil spill on the marine environment in this region
in the next stage of the project execution.
The following inferences are drawn from the present study:
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Hydrodynamic model simulated and calibrated against the observed tide from TIPs.
Simulated tide was in good agreement against the observed tide.
Simulated currents are in the order of 0.15 to 0.35 m/s during both the seasons, as verified
with literature.
During the NE monsoon, the oil spill from the near-shore location is potentially threatening
for Ongole coastal regions.
During the SW monsoon, the spilled oil from near-shore location is potentially threatening
for Krishna Estuary region. Potentially, spilled oil can enter inside the Krishna river basin
from the near-shore location.
The oil spilled from far-shore locations has less impact on nearby coastal regions; however
during NE monsoon, the spill from far-shore locations nearer to Ongole coastal regions will
have potentially threatening impacts.
Spilled oil from nearshore locations requires immediate attention and containment activities
should start within 24 hours of spill to avoid major impacts on the marine environment.
The precautionary and mitigation measures are recommended below for each spill location.
Table 1-14: Recommended Precautionary and Mitigation Measures
Spill Location Precautionary Measure Mitigation Measure
Near Shore locations around S-1
No drilling activities to be undertaken during NE Monsoons.
Adequate arrangement for mobilization of containment boom within 12 hours and installation within 24 hours shall be ensured prior to any drilling activities during South West Monsoons
Arrangements shall be made at Nizamapatnam port or any other adjacent area to enable quick mobilization of response team (within 6 hours).
Far-shore locations around S-6
Potential for spill will reach Ongole coast after 72 hours in NE monsoons. No activity shall commence without adequate mitigation measures.
Adequate arrangement for mobilization of containment boom within 24 hours and installation within 48 hours shall be ensured prior to any drilling activities during North East Monsoons
Arrangements shall be made in any adjacent area to enable quick mobilization of response team (within 24 hours).
Far-shore locations around S7
Potential for spill to reach Ongole coast after 48 hours in NE monsoons. No activity shall commence without adequate mitigation measures.
Adequate arrangement for mobilization of containment boom within 12 hours and installation within 24 hours shall be ensured prior to any drilling activities during North East Monsoons
Arrangements shall be made in any adjacent area to enable quick
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Spill Location Precautionary Measure Mitigation Measure
mobilization of response team (within 12 hours).
Although the spill will be away from Krishna Sanctuary during SW monsoon, however adequate preparation shall be there for mobilization within 24hours.