Big data and its potential in integrity and operational reliability
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Transcript of Big data and its potential in integrity and operational reliability
The Structured Approach to Asset Management
PIMS of London
Big Data and its Potential for Integrity Management and Operational Reliability
Richard MatthewsOperations DirectorPIMS of London Ltd
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
What is Big Data?
The Structured Approach to Asset Management
Pipeline ServicesCapturing the Value of Big Data
$300 billionpotential annual value to US health care (more than double the total annual health care spending in Spain)
€250 billionpotential annual value to Europe’s public sector administration (more than GDP of Greece)
$600 billionpotential annual consumer surplus from using personal location data globally
60%potential increase in retailers’ operating margins possible with 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?
What is Big Data?
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
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
Big Data Potential
The Structured Approach to Asset Management
PIMS
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
Operating Effectiveness
OrganisationalEffectiveness
Training & Competency
ProceduresDevelopment
EmergencyResponsePlanning
Management Systems
PerformancePlan
CommunicationPlan
ChangeManagement
QualityPlan
Data Management
DirectAssessment
Fitness-forPurpose
In-LineInspection
IntegrityEvaluation
Repair &Rehabilitation
Planning
PipelinePerformanceEvaluation
Repair &Rehabilitation
Execution
Repair &Rehabilitation
PrioritiseSusceptibleSegments
RiskAssessment
IntegrityManagement
Plans
DataGathering &Integration
Risk &IntegrityResponse
PipelineGoals &
Objectives
Pipeline IMProgrammeDesign
StrategicPlanning
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
Big Data Potential
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
SummaryBig Data
Potential
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
SummaryBig Data
Potential
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
The Structured Approach to Asset Management
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