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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
© 2010 Intergraph Corporation. All Rights Reserved! 1
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
© 2010 Intergraph Corporation. All Rights Reserved! 2
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?
© 2010 Intergraph Corporation. All Rights Reserved! 3
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)
© 2010 Intergraph Corporation. All Rights Reserved! 5
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
© 2010 Intergraph Corporation. All Rights Reserved! 6
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
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
8© 2010 Intergraph Corporation. All Rights Reserved!
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
© 2010 Intergraph Corporation. All Rights Reserved! 10
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
© 2010 Intergraph Corporation. All Rights Reserved! 11
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
© 2010 Intergraph Corporation. All Rights Reserved! 12
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.
© 2010 Intergraph Corporation. All Rights Reserved! 13
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
© 2010 Intergraph Corporation. All Rights Reserved! 14
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
Extract from Shell Presentation
© 2010 Intergraph Corporation. All Rights Reserved! 16
Extract from Shell Presentation
© 2010 Intergraph Corporation. All Rights Reserved! 17
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
© 2010 Intergraph Corporation. All Rights Reserved! 18
Is this your challenge?
© 2010 Intergraph Corporation. All Rights Reserved! 19
Integrating theEngineering Enterprise
© 2010 Intergraph Corporation. All Rights Reserved! 20
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.