onshore spill modelling to inform contingency planning

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Presented by Christopher Kitley, Principal Hydrogeologist. WorleyParsons Onshore spill modelling to inform contingency planning

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Page 1: Onshore spill modelling to inform contingency planning

Presented by Christopher Kitley, Principal Hydrogeologist.

WorleyParsons

Onshore spill modelling to inform contingency planning

Page 2: Onshore spill modelling to inform contingency planning

WorleyParsons is a leading provider of project delivery and consulting services to the resources & energy sectors and complex process industries. Our services cover the full asset spectrum both in size and lifecycle – from the creation of new assets to services that sustain and enhance operating assets. Across our comprehensive global network our four customer sector groups use their extensive expertise to deliver small studies through to mega-projects.

With 38,000 people in 157 offices throughout 40 countries, we provide our customers with a unique combination of extensive global resources, world-recognized technical expertise and deep local knowledge.

Page 3: Onshore spill modelling to inform contingency planning

Onshore spill modelling to inform contingency planning

Contents

§  Introduction & background §  Approach §  Modelling techniques §  Case study §  Results §  Innovations and development

Page 4: Onshore spill modelling to inform contingency planning

Track record: q  Environmental & Social Impact

Assessment (ESIA). q  Contingency planning. q  Infrastructure design. q  Insurance profiles & liability. q  Software development. q  Full field ► Refinery ► Tank

WorleyParsons approach Using our multi-disciplinary consulting & engineering teams q  Phased & risk based approach for

efficient design q  Robust modelling to reduce

uncertainty q  Scalable & transferable to all project

lifecycle assets

Page 5: Onshore spill modelling to inform contingency planning

Phase 1 Screening

Subsurface migration

Surface spreading

Possible significant spills

Low priority

Phase 2 Numerical Modelling

Catalogue results in OSPS matrix

Phased approach to assess Oil Spill Planning Scenarios (OSPS) for contingency planning

Identification

OSPS Matrix

Contingency planning

Page 6: Onshore spill modelling to inform contingency planning

Case study: Onshore oil spill modelling to inform contingency planning

Location Development Project scope

§  Arid environment §  Inland wadi systems §  Flat terrain §  Fragile ecosystem §  Surrounding

groundwater users

Large upstream condensate rich: §  >1500 km2

§  >250 gathering wells §  >500 km of pipelines §  CPF, Waste

treatment, §  Reinjection wells §  Fluids: Condensate,

diesel, PW, OBM

§  Front End Engineering & Design (FEED)

§  Contingency planning

§  Numerical modelling to assess spill migration with time

§  No applicable guidance

Case study

Page 7: Onshore spill modelling to inform contingency planning

Oil spill scenario matrix (OSSM)

Identification of oil spill planning scenarios (OSPS)

Identification: causes / scenarios Likelihood: 100% probability

§  Literature review §  Oil spill planning scenario workshop §  Catalogue of credible oil spill

planning scenarios §  Organised by source, mode of

release & product §  Each populated with pressures,

flows, mitigation measures & socio - environmental risk

Agreed OSSM included 38 top level scenarios & 1,000+ locations

Page 8: Onshore spill modelling to inform contingency planning

Environmental Impact Factor (EIF) tool

Phase 1 Screening

Risk prioritisation modelling

§  Developed with Statoil.

§  Multi-scenario on-shore tool.

§  Risk management decisions.

§  Prioritisation of sites.

§  Surface and subsurface impact.

§  Maximum surface spreading plotted on GIS → buffer zones.

§  Maximum subsurface migration compared to groundwater elevations.

§  Update oil spill scenario matrix and categorisation of spill scenarios.

Page 9: Onshore spill modelling to inform contingency planning

Surface spreading

Phase 2 Numerical Modelling

§  Tank & pipeline leak & failure §  Amended flood model and digital elevation model

(DEM)

§  TuFlow 2D surface flow model designed to model shallow flow over complication terrains

§  Amended code for varying fluid properties (density, viscosity, internal eddy friction).

§  Plans and animations of spill migration with time §  Pooling depth and area.

§  Can also model transport in surface water

Page 10: Onshore spill modelling to inform contingency planning

Phase 2 Numerical Modelling

Subsurface flow

Hydrocarbon spill screening model (HSSM), US EPA/RISC beta version)

Three scenarios:

§  No containment (spill area, duration, volume)

§  Containment (depth, duration)

§  Below ground (flux, duration)

Very sensitive to geological conditions and residual saturation

Worst/best/most likely case used to form up and lower bound estimates

Page 11: Onshore spill modelling to inform contingency planning

Phase 2 Results Example results:

q  Geographical spread with time

q  Pooling depths

q  Assessment of impacts

q  Re-assessment of impacts

Pipeline failure case

Tank and containment failure Pipeline leak, oblique view with pooling

Page 12: Onshore spill modelling to inform contingency planning

Results of subsurface modelling

Sensitivity analysis:

q  Variations in pooling depth effects

q  Variations in event durations

q  Upper & lower band cases

Page 13: Onshore spill modelling to inform contingency planning

Information for contingency planning

Surface spreading Subsurface

Model outputs

§  Graphics of area vs. time. §  Pooling depths. §  Shape files for GIS. §  Depth profiles. §  Upper & lower case envelope. §  Updated OSPS Matrix.

Contingency Planning Information

§  Categorization of spill events. §  Location of worst credible events. §  Response time envelope. §  Areas and volumes of impact. §  Design implications, including:

§  Leak detection requirements. §  Inspection regimes. §  Relocation of camps &

infrastructure. §  Regulatory compliance

Results summary

Response planning

Page 14: Onshore spill modelling to inform contingency planning

Summary

Innovation q  Project demonstrated that WorleyParsons phased approach worked well. q  Combining multidisciplinary teams of hydrocarbon engineers and environmental

scientists.

q  Adaptation and application of commercially available software q  Robust approach to setting upper and lower bound estimates q  First project of its scope and scale.

q  Development of software & visualization tools Future developments areas:

q  Guidance for standardized approach q  Inclusion of air dispersion modelling to simulate well blow out (screening or detailed)

q  Inclusion of fire hazards (pool fire effects)

q  Inclusion in HAZID workshop q  Project engagement window (ESIA, concept design, detailed design).

Innovation & future developments

Page 15: Onshore spill modelling to inform contingency planning

Thank you

q  http://www.worleyparsons.com/consultingpractices/ q  http://www.worleyparsons.com/consultingpractices/Documents/Consulting

%20Presentation/index.html

For further information about individual WorleyParsons’ Consulting Practices, please visit our website: