Title: Practical Welllog Standards Phase 2 London 30th Jebruary, 2001
1Practical Well-log StandardsPhase 2London30th
Jebruary, 2001
2Agenda
- 1000 Introduction
- 1015 Phase 1 Summary and Analysis
- 1115 Practical Implementation
- 1130 Phase 2 Definition
- 1230 Lunch
- 1330 Phase 2 Management
- 1400 Close
3Introduction
End
Agenda
4Well-Log Management Business Issues
- Data overload
- Too many curves - users cant find the important
data - Complex naming
- Both curve and LOG (collection of curves) names
are complex and changing at an ever increasing
rate - No consistency over time
- Confusing for experts and generalists alike
- No recognised central source for well-log naming
standards
End
5Data Overload
- Business Value
- Real Business Value is concentrated in a
relatively small number of data curves - filtered
views focus on high value data
Data Overload!
End
6Confusing Names
- CURVE Names
- Sonics DT1R, DT4P, DT4S, DT5, DTCR, DTMN, DTRP,
DTSD, DTSM, DTHC, DTHU - Densities RHOZ, NRHB, RHOM, HNRH, HRHO, RHOB,
HDEB, HROM - 712, 7121, 7122
- All Sonics DT, Densities RHOB
- GR_ED_001_AJB
- LOG/Tool Names
- GRAND SLAM
- DSI Vs DSST Vs SDT?
- PEX (HALS)
- HALS, HDLL, HDIL, HGNS, HNGS, HRDD, HRGD
- PROC1
- DAVE21
- 22MAY97
- COMP
- GEOL
- LOG refers to a collection of curves
- for example from a logging acquisition or
- interpretation process
End
7Clear NamesTool
Purpose to de-mystify proprietary and
esoteric naming systems
- Tool Names for acquisition data
- Keep full technical/marketing name
(information) - Generic Tool String Name from component Tool
Types (this is main LOG-level NAME that is
understandable to all and will be time-invariant - Specific Tool String Name created by
concatenating component tool names (information
and searchable) - (Other process stages)
- standard names for key composite and CPI data
sets
End
8Generic Tool Type AttributeExamples
Description
Tool Type
End
9Clear NamesCURVE
Use generic names to de-mystify proprietary
and esoteric naming systems
- CURVES
- Keep original Mnemonic as CURVE NAME
- Curve Property Type Curve Type generic
classifications which helps user understand
purpose and can be used to drive processing - Property Type based on extending Schlumbergers
original classifications - Curve Type a short-form version of the above
based on mnemonic tokens - Property Type and Curve Type map one-to-one
- DESCRIPTION a text description of the curve
End
10Curve and Property Type AttributeExamples
Property Type
Curve Type
- Note on Curve Type Structure
- Separator improves readability
- Hierarchical structure - can set to level of
detail required - Structure facilitates searching/listing
- Can be treated as a single value (easy to use in
existing systems)
End
11Phase 1 Deliverables
- Standard CURVE level attributes and reference
values - Business Value
- Property and Curve Type
- Classification hierarchy
- Standard TOOL level attributes and reference
values - Generic, Technical and Marketing Tool Names
- Web-based delivery mechanism
End
12Phase 1 Project Management
- POSC Multi-company sponsored Project
- POSC Management
- Flare Consultants as Technical Contractor
End
13Project Management
- tool lists and grouping
- attribute definitions and usages
- tools grouped by stage and service company
- service companies make initial classifications
- service company classifications 'normalised'
- TechCom, Steering Group approval and publication
End
14Lessons Learned
Build on existing work but need to balance
legacy effects
Things always take longer than expected
Main classification issues are understood and
solved
Is TechCom Steering Group split effective?
Difficult to get oil company involvement/feedback
The project is deemed a success but uptake will
be the real test
End
15Success Factors
Need enthusiasm to keep Projects moving forward
Maintenance is very important
Communicate results but it takes resources
End
Agenda
16Maintenance in Phase 1
- Current maintenance is self-policing
- Website can be updated by authorised service
company users - Current standards are held as (an extendable)
look-up list - Question
- Is this sufficient to prevent standards creep
due to - Misapplication of existing standards
- Arbitrary addition of further classifications
- If not, what is the alternative and is it
cost-effective? - Release schedule?
- Should there be a release schedule?
End
Success Factors
17Practical Implementation
- Ingvar Espeland, PetroData
- The value of a common standard
- A common dictionary
- Business Value provides a selective loading
mechanism - Norwegian DISKOS database dependencies
- Phase 2 required for completeness
- DISKOS and CDA cooperation
End
Agenda
18Phase 2 Definition
- Acquisition companies their support is critical
- Undertake the bulk of the technical work
- Focus on technical details of acquisition process
- Baker and Schlumberger have already expressed an
interest - Halliburton?
- Others?
- Oil Companies
- Needed to provide a reality-check on
deliverables - Focus on use of well-log data
End
19Phase 2 Definition
- Define target customers
- Generalist
- Tool-level standards
- Curve definitions for KEY products (Composites,
CPIs) only - Specialist
- Curve-level standards
End
20Phase 2 Definition
- Phase 2 Deliverables
- Extend scope of acquisition tools covered
- Older technology tools
- Specialist tools
- Production tools
- Dipmeter/Image
- Mechanical Inspection
End
21Phase 2 Definition
- Phase 2 Deliverables
- Processed or Interpreted data sets
- Composited sets (standard curve names/types, log
names) - Interpreted sets
- Web site improvements
- Cater for generalist and specialist users
End
22Phase 2 Definition
- Phase 2 Timing
- Phase 1 Stages were highly coupled
- Could deliver Stages more easily if coupling was
minimal - Older technology tools are unlikely to require
much additional technical input - Processed and Interpreted products are not
strongly linked to tools - Phase 2 is behind Phase 1 in terms of annual
cycle. Should optimise early deliverables before
summer holiday season
End
Agenda
END
23Phase 2 Management
Agenda