Using analytics in PI AF to improve operating performance

Transcription

1 Using analytics in PI AF to improve operating performance Sammie Ross Real time data SPA Rob Sutton Human factors specialist 1

2 Using analytics in PI-AF to improve operating performance Sammie Ross, Real time data SPA Rob Sutton, Human factors specialist The OSIsoft 2018 PI World EMEA Conference, September 2018

3 BP at a glance 70 countries 18,441 million barrels of oil equivalent proved hydrocarbon reserves (a) 74,000 employees 3.6 million barrels of oil equivalent per day hydrocarbon production (a) $6.2bn underlying replacement cost profit 1.7 million barrels of oil refined per day (a) On a combined basis of subsidiaries and equity-accounted entities. 3

4 Upstream Strategy Quality execution Growing gas and advantaged oil Returns-led growth 4

5 Background PI-AF Federal Structure Standards BP-OSI Enterprise Agreement Infrastructure Standards Engineering Governance Deployment Why now? 5

6 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 Business Drive Listened and learned lessons from other OSI users and their challenges! 6

7 What are our objectives Digital transformation and modernisation Targets Increase reliability & efficiency Identify issues earlier 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 Result Safe, highly reliable operations Delivery PI-AF Learning Curve Developing foundations

8 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 8

9 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. 9

10 Team Engineering, operations, IT & vendor Strong baseline of experience Building on the experience learning curve Working with users in mind - considerate engineering Management support 10

11 Standards Started with the end game & users in mind. Vision Templates Deliver Digital solutions at scale Intuitive Insights AF & PI Vision templates are key Engineering the design - Modular Federal attributes (flexibility) Designing systematic approach Degree of Certainty Breaking legacy design, challenging resistance Pre-Processed Data Information > Intelligence Decision Support Foundation Templates Modular Analytics 11

12 Setting solid foundations Build upon best practice & Standards strong foundations 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 Roadmap 12

13 Deployment Users & Owners User input Backlog healthy growth Prioritisation & approval 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 13

14 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 14

15 Management of Change (MoC) Repeatable Process Robust control Introduces good practice Simplifies Continuous Improvement (CI) Enhances communication Guidance Encourage self service & new users Control & design guidance Targets Performance Analysis schedules pre-planned Performance maximised Manage expectations 15

16 Next Steps Further development Growing list Making a difference new insights, new responses 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

17 Q & A 17

18 Questions? Please wait for the microphone Please remember to Complete the online survey for this session State your name & company 18

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