375
1 RISKANALYSIS
Beforeconductingthepreliminaryhazardanalysis,it
wasnecessarytoinvestigatethechallengesrelatedto
navigationandoperationintheArctic.Thiswasdone
throughliteraturestudies,interviewswithexpertson
thefieldandreviewofstatisticaldata.(Gudmestadet
al. (1995), Koponen (2015), Kozuba and Bondaruk
(2014), Rothblaum et al. (2002), Samuelsen et al.
(2015),DNV(2010),DNVGL(2014),Rambøll(2011),
Hjelmervik et al. (2018), Dalaklis and Baxevani
(2018)).
Themainfindingsinthisresearchwereasfollows:
The positioning systems and equipment, such as
satellite systems, gyrocompass and magnetic
compass are strongly affected
by the high
Use of Simulator Training to Mitigate Risks in Arctic
Shipping Operations
J
.F.Røds
UniversityofTromsø,TheArcticUniversityofNorway,Tromsø,Norway
O.T.Gudmestad
UniversityofTromsø,TheArcticUniversityofNorway,Tromsø,Norway
UniversityofStavanger,Stavanger,Norway
ABSTRACT:Overtherecentyears,shiptrafficinthepolarareashasincreased.Thereisreasontobelievethat
thistraffic,andespeciallythecruisetraffic,willincreasefurtherastheiceretractstowardsthepoles.
Thereis
alsoreasontobelievethatwiththecontinuedfocusandexposureofthePolarRegion,thecruisetourismtothe
regionwillgrow.
Theincreasedpresenceinthepolarareaswillcreatepositiverepercussionsforseveralactors,bothonseaand
land.Therewill,however,alsobechallenges
associatedwiththegrowingpresenceinthepolarareas.Vessels
willbeoperatingatlongdistancestoothervesselsandlandinfrastructures.Thesevesselswillalsobeoperating
inclimateandconditionsthatwillput extrapressureonbothvesselandcrew.These challenges need to be
solvedinorderfor
theshipindustrytooperatesafelyinthePolarRegion.
To ensure that companies operating in these areas identify and manage these challenges, the International
Maritime Organization (IMO) developed the Polar Code (2017) with the intent of increasing the safety for
vessels operating in polar waters, and to reduce the
impact on humans and environment in this remote,
vulnerableandharsharea.Thiscodedefinesanumberofrequirements,withwhichthevesselsshouldoperate
inaccordancewith.
Inthispaper,werevealwhichchallengesthevesselanditscrewneedtodealwithwhennavigatinginpolar
waters.Thechallenges
willbeanalysedandassessedthroughtheuseofapreliminaryqualitativeriskanalysis
todeterminethepotentialhazardsthevesselisexposedtounderoperationsinpolarwaters,andtofindout
whatlevelofriskthedifferenthazardsrepresentsforthevesselanditscrew.Themainobjective
ofthepaperis
tofindouthowtherisklevelscanbereduced,withparticularfocusontheuseofsimulatortrainingasarisk
reducing measure. The final goal is to measure the risk towards acceptance criteria, which have been
determinedpriortoconductingtheanalysis.
http://www.transnav.eu
the International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 13
Number 2
June 2019
DOI:10.12716/1001.13.02.14
376
latitudes. Communication isalso challengingdue
tolongdistancesandlackofinfrastructure.
Anotherfactortoconsideraretheconditionsofthe
physical environmental. Both vessel and vital
equipmentcanbeseverelyaffectedbyicingunder
given circumstances. Cold climate can also affect
equipmentinotherways,e.g.by
reducingpower
sourcecapacity.
Challenges connected to human error were
investigatedindetail,ashumanerroristhemain
sourceofmaritimecasualties.Studiesofliterature
and statistical data showed that arctic operating
conditionswouldincreasethepossibilityofseveral
kinds of human errors such as fatigue,
complacency,poor
judgementetc.
As a final part of the work to identify the
challenges of operation under arctic conditions,
navigation in ice was discussed, as this is a vital
partofoperationsintheArctic.
Based on the findings related to operation and
navigation in the Arctic, a preliminary hazard
analysis was conducted. How to determine the risk
connected to different kind of problems related to
arcticoperating conditions is, however, difficult due
to lack of available statistical data. The conducted
qualitative risk assessment was therefore strongly
dependentonliteraturereviewandexpertopinions.
Thepreliminaryhazardanalysisisshownbelow
in
Table1.Theresultsaresummarizedintheriskmatrix
inTable2.Thesuggestedacceptcriteriarepresentour
best assessment. Note that a wide ALARP region
(yellowcolor in Table 2) is suggested to ensure that
cost benefit analysis can be incorporated. Table 3
shows the risk matrix with
mitigating measures
implemented. The effects of simulator training are
highlighted.
Table1.PreliminaryHazardAnalysis
__________________________________________________________________________________________________
Hazard ProblemCausePossibleconsequences Prerisk‐RiskPostrisk‐
numberreducing reducingreducing
measuresmeasuresmeasures
riskrisk
__________________________________________________________________________________________________
Naturalandenvironmentalhazards
1.1Icingonhull Icingduetoseaspray Reducedstability,reduced P:3 Heatingofhulland P:2
andmetrologicalfactors maneuverability,danger C:D equipment,manual C:B
ofequipmentfailureremovingofice
1.2Difficultyto Wave,wind‐orcurrent‐Troublefollowingthe P:4 Planningbasedon P:2
keepthevesselforcesaffectingthe intendedroute,possible C:D weatherinformation, C:B
oncourse movementofthevesselgrounding.adequatemonitoring
throughthewaterofthevoyage,well
trainedpersonnel
1.3Reduced Icingonwindows, Difficulttonavigatebythe P:4 Deicingofwindows,P:2
visibilityreducedvisibilityduetouseofopticaltechniques, C:D planningbasedon C:B
fog,snoworrain. difficulttodetectotherweatherinformation,
vesselsorobstacles(ice),useofotherequipment
possiblegroundingorfornavigationalpurposes,
collisiontrainingofpersonnel
Failureandinaccuracyofequipment
2.1LossofGNSSblackoutNopositionavailable, P:2 Redundancy,training P:1
GNSSpositionECDISfailure,possible C:C ofpersonnelC:B
grounding
2.2Inaccuracyfor Satellitegeometry, WrongpositiondisplayedP:3 Useofmorethanone P:2
GNSSposition manipulationofsatellite touser,wrongpositionasC:C satellitesystem,trainingC:B
signalECDISinput,possibleofpersonnel
grounding
2.3Freezingof Icingonantenna,Wrongpositiondisplayed P:3 Deicingofantenna, P:1
GNSSposition failureofreceiver touser,wrongpositionasC:C redundancy,training C:B
ECDISinput,possibleofpersonnel
grounding
2.4GyroFailure Blackout,mechanical Noheadinginformation P:1 Redundancy,heading P:1
Failureprovidedtouser,C:D frommagneticcompass, C:B
ECDISfailuretrainingofpersonnel
2.5GyroInaccuracyHighlatitude,high WrongheadinginformationP:5 Manualorautomatic P:4
speed,steeringN/S‐ providedtouser,wrong C:C compensationforerror,C:A
courseheadingasECDISanduseofmoreadvanced
radarinputcompasses,monitoring
ofvoyage,trainingof
personnel
2.6Magnetic Frozenfluid,Noheadingfrommagnetic P:1 NoriskreducingP:1
compassfailure mechanicalfailure compassprovidedforuser C:A measuresneededC:A
2.7Magnetic Magneticdeviation,WrongheadingP:5 Manualcompensation P:3
compass magneticvariation, informationfrommagneticC:A forerror,monitoringof C:A
inaccuracy uncalibratedcompass compassprovidedforuservoyage,trainingof
personnel
Humanerrors
3.1FatigueLackofsleep,Reducedattention,P:4 Reducedtimeonwatch, P:3
darkness,daylight increasedresponsetime, C:D extralookout,training C:C
possiblegrounding/collisionofpersonnel
3.2Complacency Longwatcheswith Reducedattention, P:3 Reducedtimeonwatch,P:2
377
littleactionincreasedresponsetime, C:D extracrew,attitude C:C
possiblegrounding/collisionforming,trainingof
personnel
3.3Inadequate Specialequipmentonly Increasedresponsetime, P:3 Checklists,followupon P:1
technical usedundercertain wronguseofequipment, C:D crewcompetence,extraC:C
knowledge circumstances(Iceradar,possiblegrounding/collisioncrew,trainingof
icecharts)personnel
3.4PoorLossofnightvisiondue Navigationalerror,possibleP:2 Testingofequipment, P:1
equipment tolightpollution, grounding/collisionC:D userfeedback,personnelC:D
designequipmentbeingtraining
inefficientplaced
3.5Decisions Onlyuseonemethodor Navigationalerror,possibleP:3 Checklists,attitude P:2
basedon aid,relayonlimitedgrounding/collisionC:D forming,trainingof C:D
inadequate information,personnel
information complacency
3.6Poorjudgement Lackofinformation, Navigationalerror,possibleP:4 Checklists,attitude P:3
lackofexperience, grounding/collisionC:D forming,trainingof C:D
fatigue,complacencypersonnel
3.7FaultyLackofprocedures, Navigationalerror,possibleP:3 Regulationsandcontrol P:2
standards, pressuretomeetgrounding/collisionC:D byauthorities,C:D
policiesor schedules,profitfirstinspections,attitude
practicesthinkingforming
__________________________________________________________________________________________________
Table2RiskMatrixpriortomitigatingmeasures
_______________________________________________
Consequence AB CD E
Probability MinimalLow MediumHigh Very
High
_______________________________________________
5Veryhigh (2.7)(2.5)
4High(1.2),
(1.3
(3.1),
(3.6)
3Medium(2.2), (1.1),
(2.3) (3.2),
(3.3),
(3.5),
(3.7)
2Low(2.1) (3.4)
1Verylow (2.6)(2.4)
_______________________________________________
Table3. Risk matrix after implementation of mitigating
measures.Thosemeasuresinvolvingsimulatortrainingare
markedinbold.
_______________________________________________
Consequence AB CD E
Probability MinimalLow MediumHigh Very
High
_______________________________________________
5Veryhigh
4High(2.5)
3Medium (2.7)(3.1) (3.6)
2Low(1.1),(3.2) (3.5),
(1.2),(3.7)
(1.3),
(2.2)
1Verylow (2.6) (2.1),(3.3) (3.4)
(2.3),
(2.4)
_______________________________________________
Duringthedevelopmentofthepreliminaryhazard
analysis, we investigated how simulator training
could be used as a riskreducing measure for each
problem/ unwanted event. For some problems,
simulatortrainingwouldhavenoimpactontherisk
level. For other problems, simulator training was
found to have a
significant riskreducing effect.
Different problems and scenarios were tested in the
Ksim Navigation simulator (Kongsberg Maritime,
2018) at the Arctic University of Norway in Tromsø
(UiT) to assess how the different kinds of problems
couldbesimulated.
Afterimplementationofthe suggested mitigating
measures, the risk associated with some
of the
problems should be reduced further, if possible.
These are the problems where the risk falls in the
ALARPzone.
2 EVALUATIONBYEXPERIENCEDPILOTS
To support the findings collected during the
evaluation of problems associated with the ice
conditions,feedbackregarding thesimulationofice
conditions were collected
during a Polar Code
certificationcourse at UiT in week 22, 2018. The
participantsatthiscoursewereNorwegianpilotswho
arepilotinginthewatersaroundSvalbard.Thepilots
participated in a standard simulator exercise during
thecertificationcoursesforthePolarCodeatUiT.The
exercise(usingtheK
simplatform)includedencounter
withseveraldifferenttypesofice,includingicebergs.
Afterthesimulationexercise,twoofthepilotsshared
theirthoughts regarding the simulation of operating
inice.Theiropinionswere:
In general, the simulated environment is realistic
andclosetothereallifescenario.
The
visualfactorisgood,butinreallife,itiseasier
toassessthethicknessoftheice.Inthesimulator
exercise,itwasdifficulttodetectwhichicewastoo
thicktopassthrough.
The quality of the simulated radarimage is
satisfactorycomparedtoareallife
radar.Itcould,
nevertheless,notbe compared to the quality of a
reallifeiceradar.
For training of personnel who are intended to
operate in the waters around Svalbard, it will be
very useful to participate in a simulator exercise
with sludge ice and with elements of small
icebergs
and growlers; as such conditions
represent normal operating conditions around
Svalbard.
The use of simulator exercises can absolutely
reducetheriskinreallifesituationscomparedto
havingunexperiencedpersonnelwithouttraining.
The abovementioned factors are important to
keep in mind when designing exercises for use as a
378
riskreducing measure. The eventual weaknesses of
the simulated environment can to some degree be
compensatedforwhendesigningtheexercises.
The preliminary hazard analysis shows that
simulatortrainingcancontributeinreducingtherisk
formostofthehazardsthatarefoundtobeathreatin
polaroperating
conditions.Especiallywhenitcomes
tohumanerror,whichisthemainsourceoferrorin
themaritimeindustry,simulatortrainingisfoundto
be one of few effective ways in reducing risk. For
more technical types of errors, such as equipment
failure, simulator training is found to be useful,
but
then as an addition to conventional risk reducing
measures such as duplication of equipment, regular
maintenanceetc.
It is unquestionable that operations of vessels in
the polar area are connected with high risk due to
increased probability for accidents to happen and
increased consequences due to lack of infrastructure
and
harsh environmental conditions. A vessel
operating in these areas without preparation and
adjustmentsforsuchoperationsisnotonlybreaking
the law. It is also operating under a risk level that
exposes the vessel and crew for immediate danger
that can result in loss of lives and asset values. The
preliminary risk analysis shows that the risk can be
reducedtoanacceptablelevelifmitigationmeasures
areimplemented.
3 SIMULATOREXERCISES
Now, the next step would be to develop simulator
exercisesthatcanbeusedasariskreducingmeasure
prior to operations in polar areas. These exercises
wouldhave
tobeassessedbyexpertsinthefieldwho
has experience with operationsunder such
conditions, in order to make the simulated
environment as close to real life as possible. It may
then be necessary to adjust the preliminary hazard
analysis,assomeofthesimulatedsituationsmaynot
have
theintendedeffectontherisk.Thepreliminary
hazardanalysisshould,however,beausefultoolfor
developmentoftheinitialsimulatorexercises.
Regardingthetechnicalpartofthesimulation,the
main finding when trying out the different features
regardingsimulationofpolaroperatingconditionsis
that the Ksim platform
experiences some problems
whenitcomestosimulationofradarimageinice.It
would therefore be interesting to investigate if it is
possibletoimplementrealliferadarimagesasapart
ofthesimulatorexercises.Thisissomethingthathas
to be considered when developing the simulator
exercises.
Otherwise, the Ksim platform is found to be
realistic when it comes to ice, especially the visual
part. This is further strengthened by the feedback
fromtheNorwegianpilots,whohaveexperiencefrom
operations in polar waters. The level of realism is,
however,somethingthathavetobeassessedthrough
the initial simulator exercises before it is possible to
determinehowclosetorealitythesimulatorexercises
canbe.Thelevelofriskreductionthroughsimulator
exercisesisstronglydependentontherealisminthe
exercises.
4 CONCLUSIONANDFURTHERWORK
Simulator training can be used as a mitigating
measure
inreducingtheriskwhenoperatinginpolar
conditions, especially to reduce the risk related to
human errors. Simulator exercises could also
contribute in reducing the risk related to technical
errors,butthenasasupplementtoimplementationof
conventional risk reducing measures, such as
duplicationofequipmentetc.
Themain
suggestionsforfurtherworkare:
Development ofgeneral simulator exercises to be
used as risk reducing measures for operations in
polarareas.
Quality assurance of the exercises through
feedbackfromexpertsinthefieldwithexperience
fromconditionsbeingsimulated.
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