Detail on the WITSML to PPDM mapping project, a joint initiative betwwen the PPDM Association and Energistics to standardise movement of E&P data in the Oil & Gas industry. We outline the project and place it in the context of a data management approach to E&P data.

1. www.etlsolutions.com
WITSML to PPDM
mapping project
A data management
approach to data integration

2. Objectives:
• Standard baseline
mapping to/from
PPDM
• Determine if there is
value to mapping all
WITSML data objects
• Define change
management process
for projects involving
2+ standards
organizations
WITSML-PPDM Mapping Project
The WITSML-PPDM Mapping Project is a joint
Energistics-PPDM initiative in the Oil & Gas industry

3. Sample use case used by the Project

4. Load PPDM 3.8 from WITSML
Specification

5. Identification
Incoming WITSML data has locally unique UIDs – how to
match to PPDM?

6. Resolving identification
• Determine whether an incoming well already exists
• Tie trajectories to the right wellbore in PPDM
• Use alias table, but some of this is implementation
defined, and it must be correct or you can end up with
all kinds of data quality issues

7. What makes an implementation valid?
Some examples:
• Well formed
• Schema validity
• Standards validity
• Application validity
The Project’s views on mapping validity

8.  Valid XML
 Valid SQL queries
 Achieved by good development practices
Well formed

9. Automated checks by industry standard tools
WITSML schema
• Ordering –
sequence/alternate
groups
• Cardinality
• Mandatory
Elements/Attributes
PPDM
• Constraints:
PK, FK, NOT
NULL, Check
Schema validity

10. • Follows documented rules
• Hand coded validity or testing
Standards validity

11. Can your applications read what you have written?
Fail loudly
• Queries fail
Fail quietly
• Missing data
• Spurious data
• Wrong data
Application validity

12. • Relational systems
• XML systems
• Other systems
• Mappings between
systems
Adopting a data management approach to the Project
PPDM data management module:

13. Documentation
Type
information:
String; number,
max length
Structural
information
Cardinality
Machine
readable
Model metadata

14. Relational model

15. XML schema

16. Mapping tables

17. • Referential
integrity
 Column
references are
FKs
 Catch errors
early – before
execution
• Useful
information
 Type
 Constraints
 Comments
• Queryable
• Sustainable
Main benefits

18. WITSML schema
Type
information
Document-
ation
Structural
information
Cardinality
Machine
readable

19. nameString
A user-assigned, human-recognizable contextual name
maxLength: 64
An example WITSML schema

20. An example WITSML schema

21. WITSML example files
Example files help us to understand what is required.
All the identifiers here have rich definitions in the schema.

22. Structure and ordering
The schema will tell you about the structure of the
WITSML document; not just the parent/child hierarchy but
the order of elements

23. Test cases
The schema can also help with test cases. This is a very
small, valid WITSML well (some XML namespace
information is missing).

24. PPDM data model
There is similar machine-readable information on PPDM:
data types, constraints, documentation, null values etc

25. • Understand implications
• Manually regurgitate into
implementation
Implementation benefits: We can read it

26. • Analyse
 Check for potential issues
• Generate
 Implementation (with help)
 Auditing
• Report
 Timely, accurate
information on data flow
Implementation benefits: The computer can read it

27. • Data movement is part of
data management
• A sustainable strategy is
required
• Much work is inadvertently
duplicated
• We can reduce the effort
and improve our ability to
maintain data mappings
Conclusion

28. Watch an E&P data management
demo by Richard Cook, our senior
E&P specialist
http://www.etlsolutions.com/what-we-do/oil-and-gas/
Read our free white paper on
PPDM data integration:
http://www.etlsolutions.com/wp-
content/uploads/2012/07/Whitepaper-on-PPDM-Data-
Integration-Sept12.pdf
Free resources
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