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M A N A G I N G C O M P L E X D A T A | D E L I V E R I N G Q U A L I T Y S O L U T I O N S
K e i t h W i n n i n g , P i p e l i n e D a t a S o l u t i o n s
T h e D i g i t a l i s a t i o n C h a l l e n g e i n t h e O i l a n d G a s I n d u s t r y
‘One of the objectives of digitalisation is to break down data silos and make data more fungible.’
Malcolm Forbes-CableThe Era of Oil & Gas Digitalisation is Upon Us. Energy Voice June 2019
Objective
Value
Maximise Value in Oil & Gas
Financial Performance
Customer Value
Environmental & Societal Value
ROIC (pre-tax)
Affordability
Reliability
Trust
Satisfaction
Increased Safety
Sustainability
Employment
Operating Margin (EBIT)
Capital Efficiency
Accidents Reduced
Injuries Reduced
Emissions
Water Consumption
Impact on JobsWorld Economic Forum Digital Transformation Initiative Oil and Gas Industry Executive Summary January 2017
Projects
Reference Projects
Middle East
• Khazzan Phase 1 & 2
North Sea
• PODS OneMap Support
Caspian
• SCP Expansion (SCPX)
SCPX (Onshore Transmission Line)
Khazzan (Onshore Field Development)
UK North Sea (Subsea Regional Assets)
Project Metrics SCPX Khazzan North SeaProject phase Design & Construction Construction OperationProject type Transmission Field development OperationalAsset type New New New & LegacyData models issued 11 74 1Lineloops / pipelines 11 74 1045Total centreline length (km) 500 400 1970Total record count 0.5 Million 0.5 Million 1 Million +
Definition
Creation
Validation (third party)
Remediation
Inspection data loading
Project Metrics
Definition
Definition – Key Processes
Data Modelling Specification
Project Requirements
Data Modelling
Philosophy
Project Close Out Report
Approved Lessons Learned
Operator Processes
Data ModellingContractor Processes
• Schema
• Data dictionary
• Corporate/project classification
• Minimum requirements
• Management of change (requirements)
Definition – Data Modelling Specification
• Projections and datums
• Project level domain values
• Interfaces
• Delivery formats
Definition – Project Requirements
• Gap analysis of operator’s specifications and requirements
• Methodology• Modelling procedure• Data classification• Management of missing / incomplete data by classification• Model metrics
• Measurable KPIs
• Management of change (Process)
Definition – Data Modelling Philosophy
• Out turn metrics
• Review (scope, budget, schedule)
• Technical queries submitted
• Approved changes to schema
• Lessons learned for review
Definition – Project Close Out Report
Gap Analysis
Technical Queries
Submitted
Approved Changes
to Schema
Approved Lessons Learned
Revise Documents
Definition – Lessons Learned
Creation
Inconsistency across models / lines
• Follow modelling philosophy
• Schema changes approved
• Domain compliance
• Field dimension compliance
• Use of automated processes
• Use of checklists
Data Model Creation
Managing related models
Bad / missing data
Management of change
Managing related models
• Master external TagID database
• Linked stationing
• Use of automated processes
• Use of checklists
Data Model Creation
Inconsistency across models / lines
Bad / missing data
Management of change
Bad / missing data• Be pragmatic – not all data is equal
• Manage in accordance with philosophy
• Deviations from philosophy need approval
• Document at record level
Data Model Creation
Inconsistency across models / lines
Managing related models
Management of change
Management of change• Client approval
• Document deviations at record level
• Model specific documentation (metrics)
• Close out report
• Review lessons learned
Data Model Creation
Inconsistency across models / lines
Managing related models
Bad / missing data
Validation
Referential
Schema
Integrity
Geospatial
Third Party Data Model Validation
Referential
Schema
Integrity
Geospatial
Referential Integrity
• Top down approach
• Focus on core tables
• Automated processes:• Identify orphan records• Missing data• Offline data
Referential
Schema
Integrity
Geospatial
Schema Integrity
• Documented approved schema changes
• Automated processes
• Domain and dimension compliance
Referential
Schema
Integrity
Geospatial
Geospatial Integrity
• Automated processes• Measures and station values• Coordinates• Projections• Geometry definition
(ControlPoints)• Site features
Remediation
Identify
Analyse
Document
Propose Solution
Approval
Procedure
Processes
Identify Issues – Develop Solution
Perform
Focus on Key Issues
Error Index
Automated Processes
Validation
Model Metrics
Document
Execute – Document
Maintenance
• New and divested assets
• Changes to supporting systems
• Links to external document systems
• Schema revisions
• Lessons learned
Change Management
• Incorporation of new project data
• ILI and inspection data
• Repairs
• Diversions
• Third party crossings
Data Loading
mac16_09-000062120326110999041949663511120000917502900000000-831-031-251-0340768-0340189-0360120-141700039-117900025-099800017-087600006-075000035-070400025-065700031-060700003-058100028-056100015-0550-0002-0542-0010-0514-0029-0497-0018-0463-0028-0431-0029-0393-0032-0364-0029-0333-0032-0309-0032-0281-0034-0262-0037-0245-0028-0207-0023-0185-0025-0156-0024-0135-0025-0125-0033-0108-6000-0103-6000-0103-6000-0101-6000-0100-6000-0104-6000-0157-0032-0096-6000-0080-6000-0145-0031-011500005-0101-0021-0085-0018-0075-0018-0073-6000-0072-6000-0070-6000-0069-6000-0075-0014-0064-0018-0064-0015-0058-0015-0051-0011-0049-0012-004300001-003700006-003200009-003000019-002300024-001300028-0004000290000000030000090002900018000240002300021000320001600055-600000059-6000-002100021-001700025-00070002400000000300000600028000120002600067-600000069-6000000170002500074-600000064-001700075-600000078-6000000240002200082-600000070-001800092-600000097-600000099-600000101-600000103-600000104-600000103-600000109-600000105-003200065-001700086-001800121-002900147-003300181-003900195-003900216-003900245-003900269-004000302-003800329-003800369-003800402-003700452-003700498-004000530-003100552-002000574-001500606-0006006160000000711-002400827-003600903-003800951-002801081-003601150-00290119800167012070010401278-0019
Legacy Inspection Data
Header Code mac16_09KP -000062Time 120326Date 110999Easting 0419496Northing 6351112ROV Gyro 0Reference Depth 91.75Depth of Burial 0.29Spare 0Raw Depth 0Seabed left X -8.31Seabed left Y -0.31Trench left X -2.51Trench left Y -0.34Seabed right X 7.68Seabed right Y -0.34Trench right X 1.89Trench right Y -0.36Points 120
Legacy Data Transformation
120 pairs of cross profile coordinatesrelative to the TOP
Inspection Data – Is This An Issue?
Summary
Definition
Creation
Validation
Remediation
Care
Summary
• Data Modelling Specification
• Project Requirements
• Data Modelling Philosophy
• Data Modelling Procedure
• Project Close Out Report
• Approved Lessons Learned
Definition
Creation
Validation
Remediation
Care
Summary
• Follow data modelling philosophy
• Schema changes approved
• Domain compliance
• Field dimension compliance
• Use of automated processes
• Use of checklists
Definition
Creation
Validation
Remediation
Care
Summary
• Referential Integrity• Top down approach• Focus on core tables
• Schema Integrity• Documented approved changes• Domain and dimension
compliance
• Geospatial Integrity• Measures & station values• Coordinates & Projections• Geometry definition
Definition
Creation
Validation
Remediation
Care
Summary
• Identify• Analyse• Agree solution• Document procedure &
processes
• Perform• Automated processes• Validate model• Report model metrics
Definition
Creation
Validation
Remediation
Care
Summary
• Change Management• Incorporation of new project data• ILI and inspection data• Repairs & diversions• Third party crossings• New and divested assets• Changes to supporting systems• Links to external document
systems• Schema revisions• Lessons learned
Closing Thought
‘Today, the Oil and Gas sector has the opportunity to redefine its boundaries through digitalization.
After a period of falling crude prices, frequent budget and schedule overruns, greater demands of climate change accountability, and difficulties in attracting
talent, Oil and Gas companies can provide practical solutions.In the short term, digitalization can act as an enabler to tackle these challenges
and, in the long term, provide value to all of the industry’s stakeholders.’
Bob DudleyGroup Chief Executive, BP
Digital Transformation Initiative - Oil and Gas IndustryWorld Economic Forum, January 2017.
M A N A G I N G C O M P L E X D A T A | D E L I V E R I N G Q U A L I T Y S O L U T I O N S
An I S O 9 0 0 1 :2 015 C e r t i f i ed C o m p a n y
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