VTL Park & Arsenovic - Intergraph Corporation ArsenovicTom Arsenovic ... SP-3D SP-I SP-MAT Plant...

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VTL VTL High-quality Plant Asset Data Handover High quality Plant Asset Data Handover Validation, Transformation & Loading Solution (VTL) Tom Arsenovic Tom Arsenovic Vice President, PP&M EMIA Services & Business Development Adrian Park, Adrian Park, Global Executive Director, Owner Operator Solutions © 2010 Intergraph Corporation. All Rights Reserved! 1

Transcript of VTL Park & Arsenovic - Intergraph Corporation ArsenovicTom Arsenovic ... SP-3D SP-I SP-MAT Plant...

Page 1: VTL Park & Arsenovic - Intergraph Corporation ArsenovicTom Arsenovic ... SP-3D SP-I SP-MAT Plant handover to EP information to operator ... VTL staging area based on SmartPlant

VTLVTLHigh-quality Plant Asset Data HandoverHigh quality Plant Asset Data Handover

Validation, Transformation & Loading Solution (VTL)( )

Tom ArsenovicTom ArsenovicVice President, PP&M EMIA Services & Business Development

Adrian Park,Adrian Park,Global Executive Director, Owner Operator Solutions

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Information validation & take-on – Business challenges –Business challenges

enormous data volumes often undertaken at the end of a project often undertaken at the end of a project

when there is limited time and resources limited resources with necessary skills

$ $ typically cost $10-20M for a $1billion CAPEX plant and take over 1 year

poor quality data can add 30% to modification costs and can result in wrong decisions impacting plant reliability, and safety

solution is not just an IT tool:– clear specification of requirements in

contracts– organisation to follow-up and verify– strategy of incremental handover

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The challenge

Problematic information handover during asset lifecycle: FEED d t il d d i– FEED → detailed design

– detailed design → construction (including numerous sub-contractors)– construction → commissioning– operations, maintenance, enhancements etc– decommissioning

The Solution– information management plan covering the entire asset lifecycle – detailed specification of engineering data requirements p g g q– generally available commercial tools, acceptable to a wide range of

suppliers, which facilitates the efficient handover of quality controlled engineering information

Is this your challenge?

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Achieving seamless handover to operations via continual loadscontinual loads

SP-PIDSP-EL others

Handover of FEED information to EP

Handover of project

‘Traditional’EPCMExecution SP-ISP-3D SP-MAT

Plant handover

to EP project information to operator

Continual Incremental Handover

EPEP

Exception Reports

Standards/Standards/ handoverCMCMdesign engineer procure construct commission startup

concept FEED operate maintain optimize

EPEPStandards/

Specifications

Standards/

Specifications

SP-I

OWNEROWNER OPERATOROPERATOR

SP-I ERP

Continuous validation / aggregation / consolidation

SP PID SP PID

SP I

Construction

SPF

EDWSPF

EDW

Contract Award

SP-PID SP-PIDConstructionAnalysis

& simulCMMS

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Strategies to ensure improved handover

Information Management Scope (IMS): addresses hand-over requirements in order to ensure safe and efficient operation of arequirements, in order to ensure safe and efficient operation of a facility

– minimum level of documentation required to effectively manage its assets and businessbusiness

– data format requirements and taxonomies structured to be compatible with the engineering, operating and maintenance systems to be used

– information specification provides the details of the required data and formats Tools required to facilitate the handover of a high quality digital plant

– computerized tools to ensure validation, transformation and data loading– facilitate an incremental handover (eliminates full handover every iteration)facilitate an incremental handover (eliminates full handover every iteration)– consolidation of data in a single authoritative engineering data Warehouse,

providing a consistent source for asset information throughout the asset lifecycle via access from a simple web portal

– delivered over the lifecycle of the asset where possible– codification of business rules – as needed from the enterprise to the project

level as needed– this is the reason for VTL (Validation Transformation, and Loading)

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VTL overview

contractors data validation teamt OO / PMC

CAPEX project team

operationsat OO / PMCp j

operations

VTLStaging

areaSAP

SPO/SPF

VTLsuppliers

other Intergraph

targetsystems

other non-Intergraph

targetsystems

legacysystems

QC

Reports

systems systems

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VTL validation rules

powerful and highly flexible generic rule definition capability including:

– syntax rules (ENS)– uniqueness validation– relationship cardinality

date & time validation– date & time validation– integer validation– string validation– pick-list validationp c st a dat o– unit of measure validation– mandatory fields– cascading errors– PL/SQL and DLL rule definitions for more complex

rules

rules may be included into rule sets that are run against data submissionsrun against data submissions

rules and rule sets are reusable severity of validation findings may be graded

on rules eg as “warnings” and “errors”© 2010 Intergraph Corporation. All Rights Reserved! 7

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VTL configurable validation engine

role-based rules administration with SPF Desktop Client.p

wide range of standard out of the box rule types that may be defined in a SPF form by end usersy

configurable rules to check:– naming standards– mandatory relationships– mandatory relationships– enumerated values– ranges and UoMs for numeric

valuesvalues– lengths and format for string values

custom rules may be written using PL/SQL or NETPL/SQL or .NET

rule sets for organizing rules that are run together

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VTL data import

plug-and-play “readers” allow import from various file types:import from various file types:

– CSV– XLS

constant prompted and custom constant, prompted, and custom code values may be inserted

comparison with previous s bmission to disco er deletessubmission to discover deletes; implicit and explicit deletes supported

t ti b d Wi d automation based on Windows Workflow Foundation

mapping and transformation b d i d d d XSLTbased on industry-standard XSLT

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VTL mapping and transformation

XSLT transformation (Extensible (Style Sheet Language) is used during both import and export to the staging areag g

XSLT is a very robust technology supporting a very gy pp g ywide range of transformations

customers may choose any tool custo e s ay c oose a y tooto generate XSLT transformations

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VTL staging area

VTL staging area based on SmartPlant Foundation where:

– user/user group access rights are managed – validation rules are managed– rule sets are managed– data submissions loaded– validation executed and results held– data submissions and validation results may

be q eried and na igatedbe queried and navigated– full auditable traceability of all validation and

updates performed VTL schemaVTL schema

– staging area schema (aligned with SPO Core) is provided OOTB

– OOTB schema accepts most common OO handover data

– role-based navigation provided by SPF– may be modified using the SPF UML based

schema editorschema editor

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VTL data export/load

plug-and-play “writers” allow export/load to various systemsexport/load to various systems.

OOTB writers for loading SPF 3.8 and 4 x systemsand 4.x systems

OOTB generic writer will invoke any EXE hand off data andany .EXE, hand-off data, and monitor progress

based on Windows Workflow based on Windows Workflow Foundation

i d t f ti mapping and transformation based on industry-standard XSLT

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IMPORTANT DISCLAIMER

This document is designed to communicate a perspective g p pof likely R&D prioritization based on the current indicators of client demand. It will change both in scope and timing i t i d t d d hi h i it d iin response to industry demand, which is quite dynamic. Intergraph retains all decision rights as to what will be included in a particular release and does not makeincluded in a particular release, and does not make

binding commitments outside of a written commercial contract.

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Validation Transformation & Loading (VTL) -selected items from backlogselected items from backlog

extend reader plug-insXML ISO 15926– XML, ISO 15926

– extract of tags from CAD files, scanned files, MS Office files and PDF files under loading

– hotspotting CAD PDF under loadinghotspotting CAD, PDF under loading web service loading run VTL direct on a SPO implementation

li i di i list view editing Excel load registers and mappings (to be released) KPI and dashboard reportingp g export and bulk load to SAP PM support for multiple domains for cross-source

comparisoncomparison

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SPO VTL – benefits & value proposition

Reduced time and cost of data handover from CAPEX projects and turnaroundsp j

– $10-20m– up to 1 year

Improved range, quality, and consistency of validation performed

Simple for end-users to define rules End-to-end automation Enable comparison of data in the staging area

with data in the target SPF system via PL/SQL rulesF ll dit bl t bilit f d t b i i Fully auditable traceability of data submissions, validation performed, results and manual changes

Support for the increasingly data centric Support for the increasingly data centric deliveries from projects

Tight integration with target engineering database including comparison of data with data g pin target system to facilitate incremental loading

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Extract from Shell Presentation

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Extract from Shell Presentation

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Summary

The challenge– data volumes are enormousdata volumes are enormous– data is usually delivered incomplete, with errors or badly formatted– limited time or resources to validate data during project close-out

BenefitsBenefits– accelerated and improved start-up and commissioning process

can take up to one year to load operations systems– reduced information management cost at handover

costs involved for a $1 billion CAPEX project are typically $10-20 million reduction of 80% cost should be possible by implementing data handover standards

& specifications and automation of receipt, verification and loadingreduced modification cost– reduced modification cost validating and correcting data for a modification can be up to 30% of the

modification cost

Enabled throughg– rapid loading of massive data quantities– support for continual incremental handover– rules based and automated quality assurance for very large data or information sets– rules based and automated conversion

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Is this your challenge?

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Integrating theEngineering Enterprise

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IMPORTANT DISCLAIMER

This document is designed to communicate a perspective of likely R&D prioritization based on the current indicators of client demand. It will change both in scope and timing in response to industry demand, which is quite dynamic. Intergraph retains all decision rights as to

what will be included in a particular release, and does not make binding commitments outside of a written commercial contract.