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IMPLEMENTATION OF ENERGISTICS STANDARDS IN ONGC

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Edited and spliced logs (Composite Logs) are managed in Finder. ... TIME STAMPED DATA WILL FLOW INTO ICE-SAP FOR BUSINESS COMPUTATIONS. ... – PowerPoint PPT presentation

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Title: IMPLEMENTATION OF ENERGISTICS STANDARDS IN ONGC


1
IMPLEMENTATION OF ENERGISTICS STANDARDS IN ONGC
2
Energistics e-Standards
  • PWLS (Practical Well Log Standards)
  • WITSML (Well-site Information Transfer Standards
    Markup Language)
  • PRODML (Production Markup Language)
  • Geophysics SIG
  • GUWI (Global Unique Well Identifier)

3
EPINET PROJECT OF ONGC
4
Integrated EP Database
Compliance of industry standards best
practices
Single validated E P data base throughout ONGC
EPINET OBJECTIVE
Flow of analytical interpretation Data to
EPINET
Web based reporting And current EP data flow
into EPINET
5
3 - Tier EPINET Server Structure
Corporate Server, Dehradun
Data Aggregation
Regional Server Kolkata
Regional Server Mumbai (Panvel)
Regional Server Baroda
Regional Server Chennai
Regional Server Jorhat
RAJAHMUNDR Y
AHMEDABAD
ANKLESHWAR
CAMBAY
JODHPUR
MEHSANA
KARAIKAL
S I LCHAR
AGARTALA
NAZ IRA
MUMBAI H IGH
NEELAM HEERA
BASSEIN SAT
6
Epinet data model draws extensively from
Energistics Epicentre data model for production
and rock sample data
7
IMPLEMENTATION OF PWLS MNEMONICS IN EPINET
8
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.

9
FLOW CHART OF LOG DATA MANAGEMENT IN EPINET
COMPOSITE LOG GENERATION (GEOFRAME)
ONLINE / OFFLINE STORAGE
ATTRIBUTE INFORMATION
LOG TAPES
COMPOSTE LOG MANAGEMENT (FINDER)
ORIGINAL LOG MANAGEMENT (LOGDB)
TRANSCRIPTION (dlisu)
WEB BASED DATA DELIVERY
Composite Log Spliced Log
10
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)

11
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)

12
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 Logging While Drilling (LWD)
    curve mnemonics have further compounded the
    problem

13
SOLUTION TO THE PROBLEM
  • PWLS
  • Practical Well Log Standards (PWLS) Special
    Interest Group (SIG) of Energistics has come out
    with a solution to this problem. PWLS is now part
    of Geology SIG of Energistics.
  • PWLS has standardized the curve mnemonics of
    spliced (joined) curves.

14
PWLS Joined
15
PWLS Joined
16
PWLS Joined
17
THE PROJECT IN ONGC
  • The PWLS standardized mnemonics have been
    implemented through Data Viewer in Mumbai Region
    of ONGC.

18
MAPPED MNEMONICS
19
FLOW CHART OF LOG DATA MANAGEMENT IN EPINET
COMPOSITE LOG GENERATION (GEOFRAME)
ONLINE / OFFLINE STORAGE
ATTRIBUTE INFORMATION
LOG TAPES
COMPOSTE LOG MANAGEMENT (FINDER)
ORIGINAL LOG MANAGEMENT (LOGDB)
TRANSCRIPTION (dlisu)
PWLS STANDARDIZED MNEMONICS
WEB BASED DATA DELIVERY
Composite Log Spliced Log
20
FLOW CHART OF LOG DATA MANAGEMENT IN EPINET
COMPOSITE LOG GENERATION (GEOFRAME)
ONLINE / OFFLINE STORAGE
ATTRIBUTE INFORMATION
LOG TAPES
COMPOSTE LOG MANAGEMENT (FINDER)
ORIGINAL LOG MANAGEMENT (LOGDB)
TRANSCRIPTION (dlisu)
WEB BASED DATA DELIVERY
Composite Log Spliced Log
21
SAMPLE-1
22
SAMPLE-2
23
KEY BENEFITS
  • Simplified curve mnemonics.
  • User friendliness.

24
ROAD AHEAD
  • Organization wide implementation.
  • Implementation in Finder n-list itself.

25
IMPLEMENTATION OF WITSML
26
OBJECTIVE
To facilitate right time seamless flow of
well-site data in multi-vendor multi-operator
environment to speed up and enhance decision
making
27
WITSML FOR REAL TIME OPERATION
28
WITSML FOR REAL TIME OPERATIONS
  • ONGC, Paradigm and Halliburton developed a
    software (2003).
  • Interact Insite (2004 onwards)
  • LWD/MWD objects.
  • Used for Geo-steering in Mumbai High.
  • Also used for deep water exploration

Well-site / platform
Visualization Center (VRC)
29
WITSML IN SCADA PROJECT
30
WITSML IN SCADA PROJECT
  • AN ENTERPRISE-WIDE SCADA (SUPERVISORY CONTROL AND
    DATA ACQUISITION) SYSTEM.
  • WITSML COMPLIANT SERVER.

31
SCADA THREE-TIER STRUCTURE
Corporate Data Center
TIER -3
Drilling SCADA at IDT
TIER -2
Offshore Asset Data Center
Onshore Asset Data Center
TIER -1
GGS
HAZIRA Plant
CPF
Process Complex
CTF
Typical On-shore Asset
Western Offshore Assets
32
3 - Tier EPINET Server Structure
Corporate Server, Dehradun
Data Aggregation
Regional Server Kolkata
Regional Server Mumbai (Panvel)
Regional Server Baroda
Regional Server Chennai
Regional Server Jorhat
RAJAHMUNDR Y
AHMEDABAD
ANKLESHWAR
CAMBAY
JODHPUR
MEHSANA
KARAIKAL
S I LCHAR
AGARTALA
NAZ IRA
MUMBAI H IGH
NEELAM HEERA
BASSEIN SAT
33
THE CHALLENGE
34
SEAMLESS INTEGRATION OF SAP EPINET WITH SCADA

  • FROM WITSML COMPLIANT SCADA
  • TIME STAMPED DATA WILL FLOW INTO ICE-SAP FOR
    BUSINESS COMPUTATIONS.
  • THE E P DATA WILL FLOW TO EPINET.


35
Integrated SCADA-EPINET-ICE System
Managers for Business Information
Drilling, GG, Prod SCADA System
MIS Reports
1
Web portal
3
Capture Data
End Users
Third Eye, IIWS Collaborative Teams
Data Historian High Frequency Database
Manual entry
...
Transfer Decimated Data
Epinet Master Data
Well References
Validation Done at Assets, basins
Domain Experts
2
EPINET Team
Validate / QC
Export validated data in prescribed formats (
templates) to be loaded by the EPINET team
Data Loaders
(Lab, Institute etc.)
Data Transfer
Data Access by Users
36
PRODML (Production Markup Language)
37
STATUS IN ONGC
  • A pilot in Panna-Mukta-Tapti (PMT) JV in
    association with Reliance and BG under production
    data management.

38
Thank you
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