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Otto Huisman Arash Gharibi Sebastian Ruik Beyhaut ROSEN Integrity Solutions GEOHAZARD IDENTIFICATION AND ASSESSMENT FOR GAS PIPELINES

GEOHAZARD IDENTIFICATION AND ASSESSMENT FOR ......geo-hazards along a pipeline, drawing on examples for a gas pipeline in New Zealand. Specifically, the presentation will: • Introduce

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  • Otto Huisman

    Arash Gharibi

    Sebastian Ruik Beyhaut

    ROSEN Integrity Solutions

    GEOHAZARD IDENTIFICATION AND ASSESSMENT FOR GAS PIPELINES

  • Slide 2

    • Engineering & Consultancy Company within the ROSEN Group

    • Data Management, Integrity & Consulting, Software Services

    • Human Power:

    • 35 Employees involved in Data & GIS Management

    • 50 Software Developers

    • 80 Integrity Engineers

    ROSEN GROUP: INTEGRITY SOLUTIONS

    Technical Support /

    Data Services

    Software Development

    Team

    Integrity Engineering

    Team

    Software Product

    Development and

    Customization

    Post-ILI and

    Engineering

    Consultancy

    PIMS Implementation

    Projects and Product

    Definition

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 3

    The key objective of this presentation is to illustrate a GIS-based methodology for determining the location and expected significance of

    geo-hazards along a pipeline, drawing on examples for a gas pipeline in New Zealand.

    Specifically, the presentation will:

    • Introduce Geohazards as complex processes

    • Discuss risk, threats and consequence

    • Illustrate examples of:

    1. Determining soil instability

    2. Determining aggregate geohazard threats to the pipeline

    • Provide some conclusions

    OBJECTIVE

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 4

    • Landslides/mass movement

    • Tectonics/seismicity

    • Hydrotechnics

    • Erosion and upheaval displacement

    • Geochemical

    • Freezing of unfrozen ground

    • Thawing of permafrost terrain

    • Unique soil structure

    • Desert mechanisms

    • Volcanic mechanisms

    Source: M. Rizkalla (ed.), 2008. “Pipeline Geo-Environmental Design and Geohazard Management”

    GEOHAZARDS INCLUDE…

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 5

    • Characterised by very high spatial variability

    • Often dynamic

    • Not as predictable as we would like

    • Complex

    • etc.

    Key question remains: “What (and where) are the risks to my pipeline?”

    An ideal ‘answer’ to this question would

    consider expert local knowledge (e.g. from

    operator staff).

    GEOHAZARDS ARE…

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 6AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

    GAS PIPELINES: CONSEQUENCES

    • Model specified by

    MACAW• Implemented in GIS

    • Results feed the

    consequence parameters of

    QPRAM risk model in ROAIMS

  • Slide 7

    ASSESSMENT OF RISKS TO THE PIPELINE

    A client-specific risk model should answer the following basic questions:

    • Which threats are active?

    • Will the active threat result in a leak or a rupture?

    • What is the company liability in the event of a failure?

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 8

    • Central-western part of North Island

    • Approx. 390km of gas pipeline (main

    backbone only).

    • Extremely varied terrain: unique

    challenges for field monitoring teams

    CASE STUDY: MAJOR GAS OPERATOR IN NEW ZEALAND

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 9

    Two analyses follow:

    1) A methodology for identifying and prioritizing locations of ground

    instability along the pipeline for foot patrol and possible remediation

    2) A methodology for determining ‘aggregate’ geohazard threats to the

    pipeline

    For each of these analyses we will need to pay significant attention to:

    - Data sources

    - Identification of hazards

    - Analysis and combination

    - Visualisation

    CASE STUDY: NEW ZEALAND GAS PIPELINE

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 10

    1. GROUND INSTABILITY

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 11

    Semi-automated methodology which makes use of a range of spatial data:

    • High resolution imagery

    • Digital Elevation Models

    • Soil and land cover databases

    • Rainfall and rivers data

    • Earthquakes and fault lines data

    • Supplementary data from client where appropriate and/or available

    INPUT DATA

    Data Mining (C4.5)

    Weight Class Category Weight

    0.136 Slope >45 0.154

    35-45 0.311

    20-35 0.423

    10-20 0.063

    10> 0.049

    0.13 Bending Strain Yes 0.833

    No 0.167

    0.122 Water Resource Yes 0.833

    No 0.167

    0.192 Ground Instability (Landslide) Yes 0.833

    No 0.167

    0.077 Precipitation (Rainfall) >3000 0.489

    2000-

    3000 0.232

    1000-

    2000 0.19

    >1000 0.089

    0.147 Seismic Intencity >7 0.727

    5-7 0.2

    5> 0.073

    0.054 Freezing/Thawing Yes

    No

    0.082 Erosion High 0.717

    Medium 0.217

    Low 0.066

    0.06 Seismic Frequency ???

    ANP + weighted overlay (ArcGIS toolbox)

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 12

    Combined instability zones:

    • Data mining of New Zealand Land

    Resource Inventory (LRI)

    • Spatial model using soil type, rainfall and Digital Elevation Model (DEM)

    • Total extent of occurrence (max area)

    GROUND INSTABILITY AREAS

    Erosion form name

    Debris avalanche

    Earthflow

    Earth slip

    Mudflow

    Soil slip

    Rockfall

    Slump

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 13

    COMBINING GEOHAZARDS

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 14

    • Reclassification and combination of available data

    from multiple data sources

    • Use of modelling tools to derive weightings from best practice documents and published sources on

    geotechnical risk.

    • Additional threat drivers/geohazards can be added

    as necessary.

    INPUT DATA

    Class

    Slope

    Ground Instability

    Precipitation

    (Rainfall)

    Seismic Intensity

    Freezing/Thawing

    Erosion

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 15

    MODEL GEOHAZARDS TO IDENTIFY ‘AGGREGATE’ VALUE: INPUT DATA

    Slope is made up of thenational New Zealand DEMfile with a resolution of 11meters

    Ground instability is (partially)derived from analysis onnational Land ResourceInformation (LRI),

    Rainfall dataset is made upof the average rain fall of thelast 25 years of NewZealand.

    Seismic intensity is made up ofEarthquake dataset of last 30 years.

    Impact zone of the earthquakes iscalculated based on the studies onregistered hazard zones.

    Freezing and Thawing iscalculated based on clusteredaverage temperature of all thedays of the last 30 years.

  • Slide 16

    • Each hazard is assigned a weight

    • Each category within the hazard is

    also assigned a weight

    • These can be derived from data

    mining existing failure reports or

    databases

    • Aim is to get domain expert input

    into weighting to assess the relative importance of each hazard within a

    give zone or area.

    ESTABLISHING WEIGHTS FOR COMBINING GEOHAZARD THREATS

    Weight Class Category Weight

    0.175 Slope >45 0.154

    35-45 0.311

    20-35 0.423

    10-20 0.063

    10> 0.049

    0.139 Proximity to water Yes 0.833

    No 0.167

    0.203 Ground Instability Yes 0.833

    No 0.167

    0.098 Precipitation >3000 0.489

    2000-3000 0.232

    1000-2000 0.19

    >1000 0.089

    0.195 Seismic Intensity >7 0.727

    5-7 0.2

    5> 0.073

    0.075 Freezing/Thawing Yes 0.901

    No 0.099

    0.115 Erosion High 0.717

    Medium 0.217

    Low 0.066

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 17

    Use of Analytic Network Processing methodology (ANP) to deal with complexity: categories within each

    class are treated separately

    Each class is assigned a rank, and a

    decision matrix is generated, where

    the resulting weights are based upon the principal eigenvector

    Mapping and classification can be used for visualizing results...

    ESTABLISHING WEIGHTS FOR COMBINING GEOHAZARD THREATS

    Weight Class Category Weight

    0.175 Slope >45 0.154

    35-45 0.311

    20-35 0.423

    10-20 0.063

    10> 0.049

    0.139 Proximity to water Yes 0.833

    No 0.167

    0.203 Ground Instability Yes 0.833

    No 0.167

    0.098 Precipitation >3000 0.489

    2000-3000 0.232

    1000-2000 0.19

    >1000 0.089

    0.195 Seismic Intensity >7 0.727

    5-7 0.2

    5> 0.073

    0.075 Freezing/Thawing Yes 0.901

    No 0.099

    0.115 Erosion High 0.717

    Medium 0.217

    Low 0.066

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 18

    AGGREGATE GEOTECHNICAL HAZARD

    Areas of

    concern/ prioirity

    for combinedgeohazards

    Resolution: ~400m grid cell

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 19

    96% of bending strain

    segments found to lie within either ‘red’ or

    ‘orange’ geohazard

    zones

    EVALUATION OF RESULTS: OVERLAY WITH BENDING STRAIN

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • Slide 20

    • Geohazards represent complex threats to a pipeline

    system

    • ‘Good’ data required for their accurate assessment, but a good methodology is also essential

    • New approaches in handling complex processes can be deployed ‘in a spatial context’

    • GIS modelling approaches can provide useful inputs into risk assessment process, but also as ‘screening’ for more

    detailed assessment and mitigations.

    CONCLUSION

    AGA 2015 Conference · Huisman, Gharibi and Ruik Beyhaut · © ROSEN Group · 30-April-2015

  • www.rosen-group.com

    THANK YOU FOR JOINING

    THIS PRESENTATION.