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IMPLEMENTATION OF PWLS MNEMONICS IN FINDER UNDER EPINET by OIL AND NATURAL GAS CORPORATION LTD.

IMPLEMENTATION OF PWLS MNEMONICS IN FINDER UNDER EPINET by OIL AND NATURAL GAS CORPORATION LTD. LOG DATA MANAGEMENT IN EPINET. Log Data Management is an integral part of EPINET. Original Logs are managed in LogDB in original format.

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IMPLEMENTATION OF PWLS MNEMONICS IN FINDER UNDER EPINET by OIL AND NATURAL GAS CORPORATION LTD.

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  1. IMPLEMENTATION OF PWLS MNEMONICS IN FINDER UNDER EPINETbyOIL AND NATURAL GAS CORPORATION LTD.

  2. LOG DATA MANAGEMENT IN EPINET • Log Data Management is an integral part of EPINET. • Original Logs are managed in LogDB in original format. • Edited and spliced logs (Composite Logs) are managed in Finder. • Web Based data delivery from both LogDB as well as Finder.

  3. FLOW CHART OF LOG DATA MANAGEMENT IN EPINET COMPOSITE LOG* GENERATION (GEOFRAME) ONLINE / NEARLINE STORAGE ATTRIBUTE INFORMATION LOG TAPES COMPOSTE LOG MANAGEMENT (FINDER) ORIGINAL LOG MANAGEMENT (LOGDB) TRANSCRIPTION (dlisu) WEB BASED DATA DELIVERY * Composite Log: Spliced Log

  4. DATA DELIVERY • Original Logs from LogDB (Petrophysical applications). • Composite Logs from Finder (Geological, Geophysical & Petrophysical applications). • Web based data delivery to authorized users.

  5. CURVES WHICH ARE SPLICED AND LOADED INTO FINDER • Deep resistivity (if different type of tools are run in different intervals: LLD/ AT90 /RLA5/GRD) or 3/6 resistivities (if same type of tool is run in all the intervals: LLD, LLS, MSFL / ILD, ILM, LL3 / GRD, SGRD, FRXO / AT 90, AT 60, AT30, AT20, AT10, RXOZ / RLA5, RLA4, RLA3, RLA2, RLA1, RXOZ) • Density (RHOB / RHOZ) • Neutron Porosity (NPHI) • Sonic (DT / DTCO / DTL / DTLN / DTLF) • Gamma Ray (GR / SGR / GKUT)

  6. CURVES WHICH ARE LOADED INTO FINDER RUNWISE • Self Potential (SP) • Resistivity (LLD, LLS, MSFL / ILD, ILM, LL3 / GRD, SGRD, FRXO / AT 90, AT 60, AT30, AT20, AT10, RXOZ / RLA5, RLA4, RLA3, RLA2, RLA1, RXOZ) • Density (RHOB / RHOZ) along with DRHO & PE • Neutron Porosity (NPHI) • Sonic (DT / DTCO, DTSM, VPVS / DTL / DTLN, DTLF) • Gamma Ray (GR / SGR / GKUT) • Spectral Gamma Ray (SGR, CGR, THOR, URAN, POTA/ HSGR, HCGR, HTHO, HURA, HFK)

  7. CHALLENGES FACED • Two different types of tools are used in different intervals. • DLL-MSFL-GR (deep resistivity: LLD) recorded in the top interval • AIT-MCFL-NGS (deep resistivity: AT90) recorded in bottom interval • Proliferation in the number of curve mnemonics • A large number of LWD curve mnemonics have further compounded the problem

  8. SOLUTION TO THE PROBLEM PWLS (Practical Well Log Standards) Geology SIG of Energistics

  9. FLOW CHART OF LOG DATA MANAGEMENT IN EPINET COMPOSITE LOG* GENERATION (GEOFRAME) ONLINE / NEARLINE STORAGE ATTRIBUTE INFORMATION LOG TAPES COMPOSTE LOG MANAGEMENT PWLS STANDARDIZED (FINDER) ORIGINAL LOG MANAGEMENT (LOGDB) TRANSCRIPTION (dlisu) WEB BASED DATA DELIVERY * Composite Log: Spliced Log

  10. PWLS Joined (1 of 3): Change Results REMOVED

  11. PWLS Joined (2 of 3)

  12. PWLS Joined (3 of 3): Change Results

  13. THE PROJECT • A project to implement PWLS mnemonics was initiated in Mumbai region of ONGC. • It has already been implemented in Bassein field. • For remaining wells being implemented. • After implementation in MR it may be implemented in other regions of ONGC.

  14. KEY BENEFITS • Simplified curve mnemonics. • User friendliness. • True representation of a curve if different types of tools are run in a well.

  15. KEY BENEFITS • For example: For deep resistivity before PWLS implementation: • LLD • ILD • GRD • AT 90 • RLA5 • ……… • After PWLS implementation • RES_DEP

  16. Thank you

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