The Value of Corporate Data Management

1
The Value of Corporate Data Management

• POSC SIG Meeting
• 13th of May 2005

Paloma Urbano Product Manager Information
Management Integration
2
The Vision for Information Management
Integration

• We will deliver the technology to support the
  complete EP Information Lifecycle in
  collaboration with strategic partners, thereby
  securing corporate memory
• and we will provide an unparalleled, scalable
  open integration environment for optimising
  interpretation in work-flows as required by the
  asset management community.

3
Information Management Integration vision
Interpretive applications
Manage secure Operational teams manage the
content integrity of corporate memory
Locate access All staff need to locate
information with the context of quality and
completeness
Work-flow integration Optimise interpretations
by integrated technology solutions
Commit The shared asset model grows in richness
and value as interpretations are completed and
lodged
4
Key data management problems

• No visibility of all available data sets
• Unreliable Data of unknown quality
• Duplicated data sets and processes
• Lengthy decision making
• Slow take up of new technology

5
Corporate Data Management Solution

• Scalable and Easy to use solutions
• Preserve Data of known quality
• Reduce the number of data management systems and
  processes
• Improve data access
• Promote usage of new technology

6
What is the Corporate Data Store?

• Set of tools that help you manage value added
  data and definitive EP results
• It captures the knowledge associated with the
  data trust-worthy
• Components
• Data Store
• User Front End
• Utilities
• Building Reference Standards
• Loading/Transfer

User Front End
Utilities
Data Store
7
Corporate Data Store Characteristics

• Extensible
• Physical Database and Logical Data model
• Hybrid data model
• Epicentre version 2.2 with extensions from
  Epicenter 3.0
• and OpenWorks Model
• Epicenter extensions created using the
  POSC-approved Incremental Express process
• Partitioned by disciplines
• Customizable
• Customizable Business Rules via XSL
• Trust-worthiness
• Records Quality Information
• Maintain History of events

8
Corporate Data Store Characteristics

• Corporate Standard Reference Values such as Well
  nmemonics, company names
• Values provided are based on
• POSC-supplied version 2.2
• Additions derived from the Synergy Project -
  Epicentre v3.0
• POSC DSS Project
• Additional values identified by ourselves and
  customers
• In the plan is to incorporate the PWLS v2.0 set
  of standard data defined by POSC for well log
  data

9
Corporate Data Store Characteristics
Multiple Sources
Business Rules Confidence Level
MMS
Scout
Other
Corporate Data Store
10
User Front End Characteristics

• User Needs
• Provide Visibility of corporate data
• Customizable
• Workflow
• Data types
• Easy to use
• Technical Data Managers
• Data Comparison across data stores
• Identify data errors duplication
• Data Completeness Integrity
• Optimize Workflows Interoperability

11
(No Transcript)
12
Reference Data Management Characteristics

• Managing Reference data
• Establish Corporate Reference Values
• Generate Standard Reference Values
• ASCII
• OpenWorks
• Corporate Data Store
• Engineers Data Model
• Other data store
• Compare and synchronize reference value lists
• Propagate the usage of standards
• Identify non-compliant data
• Configure String Substitutions
• Clean existing data

13
Identifying inconsistent reference values
14
Data Transfer and Loading Utilities

• Transferring Data
• Open modular architecture, extendable and
  scalable to other data types and other data
  sources
• Rationalization of loaders and movers
• Data transfer based on Business rules
• Hard/Soft merge capabilities of NULL values
• Parent rules
• Potential for Extensive Data coverage. On-site
  customization
• E.g. Moving petrophysical param values
• Flexible solution, extended by business rules

15
Conclusion

• Technology
• Open and scalable
• Customizable
• Standards
• Processes
• Commitment
• Standardization
• People
• Openness to change
• Continuous Involvement Education

Processes
Technology
Data
People
Knowledge
16
Thanks Questions

• Paloma Urbano
• purbano_at_lgc.com
• Joe King
• jking_at_lgc.com