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Practical Well-log Standards Phase 2 London 30th Jebruary, 2001

Practical Well-log Standards Phase 2 London 30th Jebruary, 2001. Agenda. 10:00 Introduction 10:15 Phase 1 Summary and Analysis 11:15 Practical Implementation 11:30 Phase 2 Definition 12:30 Lunch 13:30 Phase 2 Management 14:00 Close. Introduction. David Archer. End. Agenda.

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Practical Well-log Standards Phase 2 London 30th Jebruary, 2001

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  1. Practical Well-log StandardsPhase 2London30th Jebruary, 2001

  2. Agenda • 10:00 Introduction • 10:15 Phase 1 Summary and Analysis • 11:15 Practical Implementation • 11:30 Phase 2 Definition • 12:30 Lunch • 13:30 Phase 2 Management • 14:00 Close

  3. Introduction • David Archer End Agenda

  4. Well-Log Management Business Issues • Data overload • Too many curves - users can’t 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

  5. Data Volume Business Value 50,000+ 'Visible' Acquisition Curves 1000+? ‘Useful’ Curves Category 1 Category 2 Category 3 mapping Data 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

  6. 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 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 Confusing Names End

  7. Clear 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

  8. Generic Tool Type AttributeExamples Description Tool Type End

  9. Clear 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 Schlumberger’s 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

  10. Curve 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

  11. Phase 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

  12. Phase 1 Project Management • POSC Multi-company sponsored Project • POSC Management • Flare Consultants as Technical Contractor End

  13. Definition Phase Delivery Stage 1 Delivery Stage 2 Delivery Stage 3 End of Phase 1 Dec-2000 Project Management • Phase 1 consists of: • 1 definition phase • tool lists and grouping • attribute definitions and usages • 3 delivery stages • tools grouped by stage and service company • service companies make initial classifications • service company classifications 'normalised' • TechCom, Steering Group approval and publication End

  14. Lessons 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

  15. Success Factors Need enthusiasm to keep Projects moving forward Maintenance is very important Communicate results – but it takes resources End Agenda

  16. Maintenance 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

  17. Practical 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

  18. Phase 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

  19. Phase 2 Definition • Define target customers: • Generalist • Tool-level standards • Curve definitions for KEY products (Composites, CPIs) only • Specialist • Curve-level standards End

  20. Phase 2 Definition • Phase 2 Deliverables • Extend scope of acquisition tools covered • Older technology tools • Specialist tools • Production tools • Dipmeter/Image • Mechanical Inspection End

  21. Phase 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

  22. Phase 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 END Agenda

  23. Phase 2 Management • David Archer Agenda

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