Leveraging the PI System in the Processing of Opportunity Crudes

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Leveraging the PI System in the Processing of Opportunity Crudes Presented by Gábor MUCSINA Process Information Expert @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC

Agenda Introduction Business Opportunity & Challenge Solutions: Keeping process in control Early fault detection Analytics and Decision Support Strategy @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 2

MOL Group MOL is an integrated, independent, international oil and gas company, headquartered in Budapest, Hungary with a track record of over 100 years in the industry. @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 3

An Integrated Downstream Value Chain Integrated Fuels Value Chain: 4 refineries, 2 Petrochem plants Logistics including 2 000 retail stations PI System Overview: 3 HA collectives, ~400K tags Elements: ~350 element templates ~23K elements & growing Events: ~6K Notifications ~10K Event Frames analyses ~50K Event Frames in 2016 PI Coresight tm is the primary process visualization platform @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 4

Digitalization Journay of MOL Group Wisdom Knowledge Information Data Client Analyses Central Analyses Advanced analytics Enterprise Integration Data Access @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 5

PI AF- the Foundation of MOL s Distributed Analytics IIOT Data DCS SCADA Yield Accounting P&S Unit Models Financial Data ERP Equipment data EAM Laboratory data LIMS Rationalized Analytics from the Edge to the Cloud PI System OT Object Model OT Data Model/Infrastructure Opralog E-Logbook Natural Info Center NICE Manual (with.csv) PI Integrators @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 6

Integrated Smart Fuels Value Chain Vision Value Chain Logistics Normalized & Standard OT Data Models Danube Bratislava Rijeka Sisak Danube Slovnaft Refineries Petrochemicals @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 7

Background Alternative supply sources Opportunity crudes, Seaborne supply sources: Discounted price Flexible supply Strategic target: Crude basket with 50 + grades @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 8

Opportunities Discounted price $2 - $4 / BBl depending on crude type Can be negative in case of higher grade crude Flexibility Quickly respond to market changes with crude selection Estimated benefit: $1 - $3 / BBl 10 % alternative crude processing ~ $10M - $11M+ /Year/Refinery Strategic goal: Increase seaborne crude processing to 33% by 2030 @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 9

Challenge Alternative supply sources Refinery was designed for a given type of crude No crude mixing fluctuation in process Operations challenges: Crude Desalter Performance Corrosion Fluctuation in process Unpredictable issues Equipment Performance & Reliability Fouling @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 10

Solution Crude analysis, Asset upgrade Crude Assays Process Simulations Refinery Modeling Crude Blender Improvements of desalters and other assets @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 11

Solution Increase Real-Time Situational Awareness Issues Fluctuation in crude quality Changes in quality of semifinished products Disturbancies in process Solution Faster, proactive and predictive decision support Advanced analytics Equipment performance/cbm Failure detection, notification Increased number of events to react Support Operational Awareness @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 12

Examples Keeping process in control Operation - Avoid harmful process conditions Integrity operating window (IOWs) Corrosion control & monitoring Feed composition tracking Maintenance - Early failure detection Preventive & condition based maintenance Online statistical validation of controllers, sensors @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 13

Integrity Operating Window Objective Objective: Keep process safety parameters in control Solution: Structure in PI Asset Framework (PI AF) Calculation, limit evaluation Advanced PI Analytics and PI Event Frames HI limit calculation IOW HTHA Exceedance state calculation @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 14

Integrity Operating Window User Experience Visualization: PI Coresight tm Work initiation: PI Notifications (e-mail with suggested actions) Results: Increased process safety Faster reaction Longer asset lifecycle @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 15

Corrosion Control & Monitoring Objective: Support corrosion monitoring and water treatment Solution: Comprehensive and logical structures in Asset Framework (AF) Visualization in PI Coresight, alerts in Notifications Results: Reduced corrosion Cost savings Laboratory results (water treatment efficiency) Corrosion coupon results @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 16

Corrosion Control & Monitoring Chemical Treatment Monitoring Online Coresight Display Monthly Corrosion Report Actions Chemical Treatment program Process Treatment HIHI limit (0,8) Water Treatment Amine System Treatment KPI limit (0,3) Increased sampling frequency in case of alternative crude HI limit (0,23) @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 17

Feed Composition Tracking Background Delayed Coker Unit (DCU): Semi-continuous, thermal cracking process Produces white components & coke Wide variety of feedstock: Residuals from different crudes Heaviest oil from other conversion processes, other refineries Issue: Increased number of steam eruptions during coke cutting Increased drum vibration during coking and cutting Safety risk @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 18

Feed Composition Tracking Investigation Datasources: Process data Event Frames Movement data Oracle database Laboratory data Oracle database Manual data Excel files Azure Machine Learning with Python scripts Complex data preparation and cleaning was needed @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 19

Feed Composition Tracking Investigation Model building, analysis in Rstudio: Gradient boosting model Feature importance and visual analysis Most important factor: RHC content of feed (RHC: heaviest product of Residual Hydrocracker) It has to be kept above 10 % Difficult to calculate online @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 20

Feed Composition Tracking Online Calculation RHC content of storage tank: Data: movement information in an Oracle database Frequency: daily Storage tanks RHC content of feed tank: Data: Valve positions Tank volume change Storage tank RHC Content Frequency: online DCU Feed tank @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 21

Feed Composition Tracking Online Calculation First step: Storage tanks: Base data: material movement into storage tanks Data import with PI RDBMS Interface Daily calculation Calculate the RHC content of storage tanks with a simple mixture calculation Result: RHC content of storage tanks (daily resolution) @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 22

Feed Composition Tracking Online Calculation Second step: Feed tanks: Base data: RHC content of storage tank, valve positions, online tank mass Online data from DCS system Hourly mixture calculation Result: RHC content of feed tank (hourly resolution) @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 23

Feed Composition Tracking User Interface @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 24

Examples Keeping process in control Operation - Avoid harmful process conditions Integrity operating window Corrosion control & monitoring Feed composition tracking Maintenance - Early failure detection Preventive and condition based maintenance Online statistical validation of controllers, sensors @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 25

Preventive and Condition Based Maintenance Objective: a robust OT/IT system to support preventive maintenance strategies Criteria: Flexibility and scalability (further strategies expected) Integrated solution (utilization of existing softwares) Tools: PI System Main process database + Real time analysis SAP PM Equipment database + Maintenance management tool Solution: Connection between systems @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 26

Preventive and Condition Based Maintenance PI System Process database Online analysis of process information Calculation of asset health Asset condition Running hours Performance Risk User Interface PI Coresight tm PI DataLink tm Connection (WebLogic) Calculated asset health Maintenance related information SAP PM Maintenance database Management of maintenance processes Creation of work orders or notifications Trigger maintenance strategies based on asset health @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 27

Preventive and Condition Based Maintenance Flexible calculations in PI Asset Framework (PI AF) Interface with PI Web API Work Order creation in SAP PM Estimated benefit: $230,000/year First working solution: Preventive maintenance of pressure swing adsorber valves in Hydrogen Production Plants @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 28

Analyser Validation ARGUS 3.0 ARGUS 1.0: Analyser validation with statistical methode in PI ProcessBook + VBA ARGUS 2.0 Centralized calculation with PI Asset Framework (PI AF) Missing components Further signal evaluation Workflow management @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 29

Analyser Validation ARGUS 3.0 New functionalities: Different validation methodes Wofklow management Failure detection Maintenance request Validation request Validation Common solution for analysers and soft-sensors PI Coresight tm based UI @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 30

Analytics & Decision Support Strategy Distributed Analytics Analytics with different scope, scale and target: Online calculations Machine learning Maintenance scheduling Etc... Refinery is more than the sum of independent business and technological processes The whole is greater than the sum of its parts. Aristotle Decision supporting tools have to be organized in an integrated system: Analytics are distributed across components Data and information flow through each element Machine Learning Operational Intelligence Business Process @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 31

Offline Analysis Visual Analysis or Machine Learning: Model building Investigation Data sources: Process database: PI System Relational Databases There are always extra Excel files Tools: PI Coresight tm, RStudio, Azure ML Result: Insight, Knowledge Model @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 32

Into Operation Goal: put knowledge into operation Results from an investigation Model to run continuously Platform: Asset Framework (AF), the foundation Connection Maintenance: SAP PM Operation: Shift Logbook + DCS Visuals PI Coresight tm dashboards PI DataLink tm reports @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 33

Business Process Online issue and disturbance identification Action Measuring Documents Maintenance Plan Solution Notification Unreleased work order Actions: Workflow management Feedback collection Support collaboration Measuring Documents Released work order Event based entries to inform operation or collect feedback Tools: SAP PM, Shift Logbook PI Coresight tm, PI Notifications Targeted notifications with suggested actions @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 34

Current State - Next Steps Existing architecture: Offline analysis (RStudio or Azure Machine Learning) Real-time analysis (AF and Asset Analytics) Visualization with PI Clients and trigger in other systems PI Coresight tm, PI DataLink tm Opralog, SAP PM, DCS Possible developments: Integrated Advanced Analytics and Operational Intelligence Data transfer from PI System to analytical tools Machine Learning model implementation with direct output to PI System @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 35

Addressing Operational & Reliability Issues from the Processing of Opportunity Crudes COMPANY and GOAL In its 2030 strategy, MOL Group is aiming increased flexibility and quicker response to market changes with a crude basket of 50+ grades to improve EBITDA. Company Logo Picture / Image CHALLENGE Alternative crude processing brings benefits, but also risks and disturbances in process. Benefit with increased flexibility and discounted price Changing feed quality can cause disturbances in the process, new corrosion mechanisms, & asset performance/reliability issues SOLUTION Operational Intelligence, online analytical solutions, & advanced analytics to support faster decisions. PI System supported workflow initiation and management Real time decision support tools Integrated system: investigation online analysis - reaction RESULTS Ability to react faster, prevent or eliminate disturbances and keep the process stable with changing feed quality. Stable operation with changing crude quality Longer asset lifecycle Strategic goal: 33 % seaborne crude by 2030 @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC

Contact Information Gábor MUCSINA gmucsina@mol.hu Process Information Expert MOL Plc. @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 37

Questions Please wait for the microphone before asking your questions Please remember to Complete the Online Survey for this session State your name & company http://bit.ly/uc2017-app @ osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 38

Köszönöm Thank You In God we trust; all others bring data. W. E. Deming @osisoft #OSIsoftUC Copyright 2017 OSIsoft, LLC 39