1. PIMS of London
The Structured Approach to Asset Management
Big Data and its Potential for Integrity
Management and Operational Reliability
Richard Matthews
Operations Director
PIMS of London Ltd

2. What is Big Data?
The Structured Approach to Asset Management
 Data is a torrent flowing in every area of the global economy
 Companies churn out a huge volume of transactional data
 Millions of networked sensors embedded in the physical
world sense, create and communicate data
 Sensors, PCs and smart-phones allow billions of people
around the world to contribute to Big Data
 However, big data can play a significant economic role to the
benefit of industry, national economies & citizens and can
create significant value by enhancing productivity and competitiveness in the global
economy
 Digital data is now everywhere – in every sector and every economy, every organisation and
every digital user
 Recent research shows that we are on the leading edge of a tremendous wave of
innovation, productivity and growth driven by Big Data
 Big Data is now relevant for business leaders across every sector, as products, services and
their competitiveness stand to benefit from its application
 Most large organisations are currently in the early stages of Big Data development efforts –
many piloting ways to mine existing data more effectively and to improve visualisation &
analytics in order to improve outcomes and decision making

3. Capturing the Value of Big Data
Pipeline Services
The Structured Approach to Asset Management
$300 billion
potential annual value to US health care (more than double the
total annual health care spending in Spain)
€250 billion
potential annual value to Europe’s public sector administration
(more than GDP of Greece)
$600 billion
potential annual consumer surplus from using personal location
data globally
60%
potential increase in retailers’ operating margins possible with big
data

4. What is Big Data?
The Structured Approach to Asset Management
 Characterising the dimensions of Big Data:-
 Volume – data at scale
 Variety – data in many forms
 Velocity – data at speed – streaming real time data
 The ability to store, aggregate, align data and use the results
for deep analysis will become more accessible and important
 The extraction of conclusions from data are also improving,
as increasingly sophisticated software and techniques combine with ever growing computing
horsepower, more cost effective hardware and data storage capability
 Although the number of smart-phones has recently reached 1 Billion and currently growing at
more than 20% per year however, at the same time the number of industrial networked sensors
is increasing at more than 30% per year
 This Big Data phenomenon is not just about smartphones, PCs
and social networking, this is also about industrial applications
 Big Data” has been regarded as a term used by “softer” industries
to track people‟s behaviours, buying tendencies, sentiments, etc.
 However, Big Data already has applications in the upstream oil &
gas sector...
So what about its potential for pipeline integrity and operational reliability?

5. Big Data Potential
The Structured Approach to Asset Management
Where does Big Data have potential to improve pipeline integrity for Pipeline Operators?
Data Mining - Operators with Integrity Strategy of Inspect & Repair
 Improved analytical tools and skills to incorporate and align a variety of datasets for
enhanced defect characterisation & assessment of coincident anomalies for improved
decision making
 Enables more sophisticated integrity assessments necessitating fewer repairs, more
accurate assessment of corrosion growth rates to extend remaining life and re-inspection
intervals
 Improved accountability - operational and integrity KPI tracking and visualisation through
digital dashboards
On a recent project: Holistic integrity assessment including crack susceptibility
analysis, alignment of multiple data sets, fracture mechanics
and lab testing to determine immediate pipeline repairs
Immediate pipeline crack repairs reduced from 100 to 5, minimising
operational disruption and reducing costs whilst managing risk

6. Big Data Potential
The Structured Approach to Asset Management
Data Mining + Business Intelligence - Data Management & Risk Assessment
 With an increasing culture, expectation and reliance on data driven decisions, more
focus will be required on data management
 Big Data can drive more sophisticated algorithms and analysis to deliver robust and
more accurate risk assessments and improved data driven business decisions
On a recent project:• Alignment and analysis of network wide datasets used for the development of
pipeline condition & criticality algorithm to prioritise pipelines for replacement v
inspect and repair
Cost benefit analysis on a single pipeline demonstrated US$40M benefit and
replacement pipeline capital payback from production of <1 month

7. Big Data Potential
The Structured Approach to Asset Management
Data Mining + Business Intelligence + Visualisation - Integrated PIMS Programme
 Data management and software becoming an increasingly essential pipeline integrity
management tool for data driven decision making
 A shift from reactive pipeline integrity management and „inspect and repair„
philosophies to a structured and integrated approach for proactive pipeline integrity
management
Management Systems
Data Management
Pipeline IM
Programme
Design
Pipeline
Goals &
Objectives
Prioritise
Susceptible
Segments
Strategic
Planning
Data
Gathering &
Integration
Risk &
Integrity
Response
Communication
Plan
Risk
Assessment
Quality
Plan
Change
Management
Organisational
Effectiveness
Procedures
Development
Integrity
Management
Plans
Pipeline
Performance
Evaluation
Repair &
Rehabilitation
Repair &
Rehabilitation
Execution
Repair &
Rehabilitation
Planning
PIMS
Performance
Plan
Integrity
Evaluation
Direct
Assessment
Fitness-for
Purpose
In-Line
Inspection
Training &
Competency
Emergency
Response
Planning
Operating Effectiveness

8. Big Data Potential
The Structured Approach to Asset Management
On a recent project: PIMS system implemented with Business processes structured to drive dataflow from one step
of the process to the next
 Proactive management of pipeline integrity, including all pipeline data, Risk
Assessment, Integrity Management Plans, budgets, workorders, Inspection results, reports and
repair execution
 Store and alignment of above ground survey & ILI data, infield NDT & repair records, ROV/SSS
survey data and interfaced with GIS and SAP PM to update records for next Risk Assessment
 Incorporated Risk Based Inspection management of static equipment assets within the same
software system and following consistent business processes to manage operational reliability
Implementation of Integrated PIMS and RBI system on a large network, driven
by business processes to ensure proactive Integrity management of onshore
and offshore pipelines and facilities transportation system

9. Big Data Potential
Summary
The Structured Approach to Asset Management
Big Data provides real potential to shift from periodic capture and analysis of lagging
data to real-time capture of leading data to monitor and control pipeline integrity
 Pipeline threat modeling and risk assessment to identify critical parameters to
be visualised on digital dashboard to maintain pipeline condition and prevent
deterioration
 Field sensors clustered into low cost Wireless Sensor Networks (WSN) gather
and send real-time or batch data using existing IT infrastructure, cellular
networks or via satellite.
 Sensors and WSNs can operate in remote pipeline locations using batteries or
solar panels
 Enables real time remote sensing of critical operating data such as fluid
composition, H2S, CO2 etc, dewpoint, chemical inhibitor residuals, bacterial
count, pipeline strike detection etc
 Could also use satellite imagery to monitor pipeline ROW for 3rd party
encroachment, potential pilferage, leaks etc

10. Big Data Potential
Summary
The Structured Approach to Asset Management
Capitalising on the Volume, Variety and Velocity of Big Data has the ability to advance
integrity and operational reliability from Proactive to Predictive and Preventative
Rather than periodic ILI inspections for measurement of existing defects to determine
historical corrosion growth rates, real-time monitoring and analysis of critical pipeline
parameters allows implementation of threat mitigation plans before pipeline
deterioration
 Traditional inspections used to confirm and verify pipeline condition and to tailor
and optimise integrity mitigation plans such as chemical injection programmes etc
 This real-time data driven approach to condition monitoring and pipeline integrity
management has the potential to significantly extend asset life, optimise costs and
improve safety whilst managing risk
Big Data has great potential for real-time capture, visualisation and analysis
of critical pipeline threat and deterioration parameters to monitor pipeline
condition and proactively manage integrity & operational reliability

11. Gracias por su Atención
The Structured Approach to Asset Management
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