IntegratedPipelineData and RiskManagementSystems

Turning data into information

John GroverIQPC KL 26 May 2004

Content

Why integrated pipeline data and riskmanagement?

What does an integrated system look like?

What is Risk Based Integrity Management?

A systematic approach to establish

maintenance and inspection priorities,

focusing finite resources on those activities

with the greatest potential for reducing the

risk of pipeline failure

Industry move away from prescriptive to a riskbased approach

Legislation

Old-Style Legislation

- Prescriptive

- Detailed rules and regulations

- What must be done

- Do it anyway

New-Style Legislation

- Risk based

- Framework rules withguidelines

- How it must be managed

- Identify hazards and risks first,rank them and prioritiseactions accordingly

Regulatory Trends

Typical Risk Management Process

Data management is the key to effective risk managementData management is the key to effective risk management

Data Challenges facingpipeline operators

Data distributed throughoutthe organisation

Paper and digital records

Multiple locations

Many active, paralleldatabases

Data often exists asindividuals knowledge

GIS

ApplicationDataReports

Landbase

Alignment Sheets

OperationalData

IntegrityData

The amount of data to bemanaged increasing

Pipelines generateincreasing volumes ofchanging data

Regulatory pressure

Data maintenance &upkeep

Due diligence fordivesting

Data management systems

5 km

M

Marker(Launch)

0 km

M

Marker(Receive)

20 km

M

………………………………………………………………………………………………..

M

10 km

M

15 km

x1,y1,z1 x3,y3,z3 x4,y4,z4 x5,y5,z5x2,y2,z2

Inertial Mapping

Visualization of Spatial Data

Customized Alignment Sheets

Back

Powerful tool for cause and effect analysisPowerful tool for cause and effect analysis

Web Enabled Database Access

Zoom in on the map to view details of pipeline for effectivesharing of data

• Precise location of scanned documents with in-line inspection and geographical data• Enhanced understanding of features• Efficiency savings to operator from ease of data access

Integration of pipeline integrity data

High Consequence Area Definition

Visualization of High Risk Segments

Photography helps call recipient relate to verbaldescription of location.

Emergency Response:Find the Location

Accurategeographicalplacement ofdefect

The importance of spatial accuracy

Data Alignment Important

• Store disparate data in one

location

• Bring data into a common

reference system

Necessary for accurate

comparison of data

In-line Distance

SP1

SP2 SP3SP4

SP5SP6

Cartographic Measure

True Pipeline Topology

SP3+”x”X

In-line Distance

SP1

SP2 SP3SP4

SP5SP6

Cartographic Measure

True Pipeline Topology

SP3+”x”X

SP1

SP2 SP3SP4

SP5SP6

Cartographic Measure

True Pipeline Topology

SP3+”x”X

Integrated Data & RiskManagement Systems

Data Access

Internet or intranetbased access

Access across theorganisation

Feature Assessment

• Immediate integrity

assessment

• Locate features on

maps

• Define or load

corrosion growth rates

• Determine future

integrity

• Optimize re-inspection

intervals

Locate Excavation Sites

Risk Assessment

Semi-quantitative risk assessment

Customized risk equations

Dynamic segmentation using latest data

Rank pipeline threats to focus

maintenance response

Rank pipelines in order of risk

Locate high risk segments

Dynamic SegmentationDynamic Segmentation

Diameter

Wall Thickness

Soil Type

Coating Type

Segmented Pipeline

Integrity Planning

Interpretation of risk andfeature assessment results

Generation of integritymanagement plans

Data Integration

• Load and align integrity data

(ILI and above-ground

survey)

• View sets of aligned data

• Alignment to solve

inconsistencies between

data sets

Managing Changes

Changes to pipeline canimpact the referencesystem

Changes to referencesystem (length, weldnumber, etc.) criticallyimpacts downstreamdata

0+00

1+00

2+00

3+00

Reroute

New Coating

Time SeriesThings Change, segments change

1+50E

1+75E

Need to automaticallymanage data relationshipsand update data

Managing Changes

Maintain & manage allpipeline facilities:

Centerline, crossings,fittings etc

Manage databaseupdates when centerlinechanges

Field Data Collection

Take data to the field onPC or integrated GPShand-held

Collect new field data andupload direct to database

Summary

Industry moving towards risk based approaches

Data management is key to effective riskmanagement

Integrated data and risk management systemssignificantly reduce the time and effort required toimplement risk based integrity managementprograms