USERS CONFERENCE Copyright 2016 OSIsoft, LLC

Transcription

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2 Leveraging PI AF as the Foundation for the Portfolio of Analytical Methods in O&G & Petrochemicals Presented by Curt Hertler - Global Solutions Architect Craig Harclerode Industry Principal Oil & Gas/Petrochem

3 Outline Cloud, Community, Digital Transformation & Analytics Context Taking a Holistic View Perspectives on Analytics The Role of the Integrators 3

4 Cloud, Community, Digital Transformation- Expanding the Envelope of Analytics 4

5 Business, Operations, Services and Supplier Ecosystem Higher Level Analytics Autonomous Operation PI System Managed Facilities Mixed Ownership & Operation Assets Utilities PI System Connected Services Pervasive Sensing Supply Chain & Inventory Management Pervasive Sensing Shared Interests 5

6 IoT Data Integration into the Enterprise Data Fabric Higher Level Analytics 6

7 The Hydrocarbon Manufacturing* Digital Value Chain 7

8 Context Taking a Holistic View 8

9 The Journey to Enterprise Intelligence IT/OT Convergence C o p yrcopyright i g h t O S Is OSIsoft, o f t, L LLLC C. 9

10 The PI System - Foundational for Operational Intelligence & Excellence Asset Based OT Context & Abstraction OT Infrastructure Cloud Enabled, High Availability PI System Access (PSA) (ODBC, JDBC, Web Services) Business Imperatives Energy Management CBM/asset reliability Environmental C&R MetaData/System integration Maximo/P&S/LIMS/Etc. Data Warehouses Data Lakes. Security Real-time Analytics Real High Speed PI Integrator for Business - Analytics Time Cleanse Augment Shape Anal Transmit (CASTing) Dashboards & Operational Analytics Predictive, Statistical, Visual Analytics, Machine Learning. Mobility and Self Serve BI Real-time Geospatial Analytics (PI + esri) Specialized models. Big Data /Hadoop Analytics/BI/EI 10

11 Taking a Holistic View Higher Level, Broader Analytics OT Analytics Perform as much OT Analytics Preprocessing as possible in the PI System eg. asset efficiencies 11

12 Perspectives on Analytics 12

13 New Uses for and Users of PI System Data Real-Time Decision Analysis CMMS EMS OMS Weather Retrospective & Predictive Analysis ERP CRM Market Contracts GIS Warranty MES Finance Process Monitoring, Situational Awareness Operational Drivers Reporting, Analytics, BI, Business Processes Business Drivers 13

14 Integrators for Business Analytics Real-Time Decision Analysis PI Integrator for Business Analytics Retrospective & Predictive Analysis Time and Event Trending & Awareness Specialized Models Simulation & Optimization First Principles Performance & Condition Establishes Common Ground between OT and IT Contexts Time, Event and Asset Context Tabular Context Multidimensional Business Intelligence & Dashboards Statistical Predictive Modelling & Machine Learning 14

15 Descriptive Analytics - Performance & Condition Derived quantities based on first principles relationships for which Operations is often accountable. Dependent on time synchronized observations but may required agreed assumptions, i.e. frequency, missing values, etc.. Requires transparent articulation of methodology and Enables realtime decision making only when visible. Daniel Bernoulli ( ) Benoît Clapeyron ( ) James Watt ( ) 15

16 Descriptive Analytics - PI Asset Analytics Configure calculations at scale Math, statistical, logical and steam table functions Supports simple predictive analytics Supports future data for forecasting Backfill! Backfill! Backfill! 16

17 How to do Simple Predictive Analytics & Forecasting in PI AF PI Data Archive High Fidelity Data Set Regress Equation from a data set via Excel Solver via PI Data Link to determine best equation X Future = *T.256 PI AF Equation Offset to desired predictive time horizon Backfill and Test Schedule and calculate predicted /forecasted data set Load in future data 1 to many (Rolling Forecast) 17

18 Advanced Corrosion Analytics - PI Asset Analytics High Temperature Hydrogen Attack (HTHA) f x (metallurgy, temperature, hydrogen partial pressure(pp), length of exposure) Developed PI AF template that: Determine partial pressure H2 Attribute of pipe class Temperature and length of exposure limits Total time above Temp and PP Alerts/notification/event frame Tested and rolled out in 6 units < 1 week Expanding to all plants in

19 The Role of the Integrators 19

20 Enabling Analytics for Operational Intelligence Real-Time Decision Analysis PI Integrator for Business Analytics Retrospective & Predictive Analysis Time and Event Trending & Awareness Specialized Models Simulation & Optimization Multidimensional Business Intelligence & Dashboards First Principles Performance & Condition Time, Event and Asset Context Tabular Context Statistical Predictive Modelling & Machine Learning 20

21 Refocusing on Data Use vs Cleansing and Preparation 21

22 Enabling Analytics for Operational Intelligence Real-Time Decision Analysis PI Integrator for Business Analytics Retrospective & Predictive Analysis Time and Event Trending & Awareness Specialized Models Simulation & Optimization Multidimensional Business Intelligence & Dashboards First Principles Performance & Condition Time, Event and Asset Context Tabular Context Statistical Predictive Modelling & Machine Learning 22

23 Statistical Analytics - Example: Power Forecast Predicted Power = * Average( Actual Power, 1 day ago, +/- 5 min) + Statistically derived equation with coefficients and time relative averages Configurable in PI AF with backfill to assess Schedule in PI AF to provide forecast - PI Server future data * Average( Actual Power, 2 days ago, +/- 5 min) +.(terms for 3-13 days ago) * Average( Actual Power, 14 days ago, +/- 5 min) 23

24 Statistical Analytics - Predictive Modelling & Machine Learning Complex systems where first principles equations interact or don t exist Empirical or fitted models generated from time, event and asset data in tabular context Predicts outcome, e.g. equipment failure, unmeasured or forecasted quantities Model continuously improves or learns with additional data 24

25 Enabling Analytics for Operational Intelligence Real-Time Decision Analysis PI Integrator for Business Analytics Retrospective & Predictive Analysis Time and Event Trending & Awareness Specialized Models Simulation & Optimization Multidimensional Business Intelligence & Dashboards First Principles Performance & Condition Time, Event and Asset Context Tabular Context Statistical Predictive Modelling & Machine Learning 25

26 Multidimensional Analytics Business Intelligence Ad hoc, visual analysis of a table or related tables of data Columns aggregated for selected rows, presenting results in a variety of ways Excellent tools for personal analysis and enterprise reporting and dashboards 26

27 Multidimensional Analytics Time Contextualization Flexible, repeatable access to high fidelity operational data Time relative aggregations and statistics at any interval Juxtaposition* of values - published rows can contain previous row s value. Backfill First Principle facts as best practice *the fact of two things being seen or placed close together with contrasting effect 27

28 Summary 28

29 Take a Holistic View of Where Analytics Should be Done Cloud, Community, and Digital Transformation Drivers Expanding the Need for and Challenges and Opportunities from Analytics PI AF Enables OT Analytics including IoT data sources and is Foundational for Higher Level, Broader Analytics. Recognize the importance of high fidelity OT data in the opportunity for and performance implications on all levels of analytics Look for opportunities to operationalize the results of analytics and use of future data for PvA analytics including financial integration of PvA gaps ie what is the cost of not being on plan per month, week, day, or shift? Understand the Analytical Options and Think Strategic in What and Where Done Use PI AF as an OT Analytics Preprocessor The Integrators Open up a Whole New World PI System Enabled Analytics and decreases opportunity costs from data preparation expanding the opportunities from curiosity 29

30 Contact Information Curt Hertler Global Solutions Architect Sales Enablement OSIsoft, LLC Craig Harclerode Global Industry Principal O&G/Petrochem OSIsoft, LLC 30

31 Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company search OSISOFT in the app store 31

32 Thank You Köszönöm

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