Using analytics in PI AF to improve operating performance

Sammie RossReal time data SPA

Rob SuttonHuman factors specialist

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Using analytics in PI-AF to improve operating performance

Sammie Ross, Real time data SPARob Sutton, Human factors specialist

The OSIsoft 2018 PI World EMEA Conference, September 2018

BP at a glance

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74,000employees

$6.2bnunderlying replacement cost profit

3.6million barrels of oil equivalent per day –hydrocarbon production(a)

1.7million barrels of oilrefined per day

70countries

18,441million barrels of oilequivalent – provedhydrocarbon reserves(a)

(a) On a combined basis of subsidiaries and equity-accounted entities.

Upstream Strategy

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Qualityexecution

Growing gas andadvantaged oil

Returns-ledgrowth

Background

• BP-OSI Enterprise Agreement• Infrastructure• Standards• Engineering• Governance• Deployment

• Why now?5

PI-AF Federal Structure Standards

Timing

Technology• Technology is maturing• Infrastructure in place• Hardware performance improved

People• Digital generation• Business awareness• Desire to improve

Business drive• Management support to modernize the business• Remote and safe operations• No trips• High reliability• Lower costs

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Listened and learned lessons from other OSI users – and their challenges!

Business Drive

Developing foundations

What are our objectives

Digital transformation and modernisation

Targets• Increase reliability & efficiency• Identify issues earlier

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PI-AF Learning Curve

2018

Del

iver

y

++

PI-AF - Supporting Efficiency & Reliability

How• Business Analytics reducing cognitive load

– data to intelligence– Automated surveillance, monitoring and response – ID weak signals

• Integrated engineering workbench• Generating new insights - decision support• Enhancing engineering time - greater efficiency• Continuously improving - learning

ResultSafe, highly reliable operations

Business Analytics

Minimal Viable Products (MVPs)• Basic to medium complexity• Templated – Elements & Vision• Modular – enable composite analysis• Alerts – off• Deadbanding – active on all• MoC – versioned• Task based design• Replacing users own tools

Targeting 90%+ reduction in legacy visuals

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Business Impact

Feedback• Extremely positive• Air of Excitement • High volume of requests • Great transparency

Early successes• Several analytics triggered - weak signals • New insights into failure modes• Supporting scheduling & availability• Value realised early - first months 20 mboed• Trust ………….

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Team

• Engineering, operations, IT & vendor• Strong baseline of experience• Building on the experience – learning curve• Working with users in mind - considerate engineering• Management support

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Standards

Started with the end game & users in mind.

• Deliver Digital solutions at scale• AF & PI Vision templates are key• Engineering the design - Modular• Federal attributes – (flexibility)• Designing systematic approach• Breaking legacy design,

challenging resistance

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Vision Templates

Degree of Certainty

Information > Intelligence

Decision Support

Intuitive Insights

Modular Analytics

Pre-Processed Data

Foundation Templates

Setting solid foundations

Build upon best practice & Standards

• Delivering repeatability• Flexibility – adaptable engineering• Simplifying & enhancing maintainability• Preparing for the future – Continuous

Improvement (CI)• Deadbanding – reduce false positives• “Sum of all” philosophy• Targeting robust builds

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Roadmap

strong foundations

Deployment – Users & Owners

User input• Backlog – healthy growth• Prioritisation & approval

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North Sea

Business owners• All analytics have expert ownership• User tools turned into best practice

(approval)

Continuous improvement (CI)• Feedback fast turnaround• Support is highly visible• Learn from new insights

Agile Development & Deployment

Swift delivery• Foundations - enable delivery at scale & pace• Standards - governance is key• Adopting Minimal Viable Product (MVP) culture &

Continuous Improvement (CI)• 8 analytics production ready – 2 more in test • Targeting 5 regions in 2018 – remaining 2019

Centrally controlled• Standards enable central engineering• Embrace regional development• Transparent communication• User confidence - rich feedback

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Management of Change (MoC)

Repeatable Process• Robust control• Introduces good practice• Simplifies Continuous Improvement (CI)• Enhances communication• Guidance• Encourage self service & new users

Targets Performance• Analysis schedules pre-planned• Performance maximised• Manage expectations

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Control & design guidance

Next StepsFurther development – Growing list

Utilising existing capabilities

Embedding culture

Build on governance• Verification of AF Configuration• Assure performance stability of PI eco-system

Workflows - response

Growing Value

Achieving our end game - Quality execution• Increased reliability & efficiency! 16

Making a difference – new insights, new responses

Q & A

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Questions?

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