POSC WITSML

1
POSC / WITSML Mudlog SIG - April 27, 28 2004
Project Review
Presented by Cary Fico (ExxonMobil) Participants
John Lottinville (BHI) Jim Theriot (POSC)

• Agenda
• Project Status Examples
• Next Steps
• Project Resources

POSC Presentation Mudlog SIG Apr 2004.ppt
2
Complexity of Mudlog Data Content from Different
Sources / Operations

• Gas Hydrocarbon Data
• hydrocarbon shows staining, fluorescence, cut
• total gas, gas chromatograph analysis (component
  concentrations), gas ratios
• H2S CO2

• Cuttings Lithologic Data
• lith description rock type, color, texture etc.,
  visual porosity
• interpreted log and lithology percentage log

• Mud Data
• composition, volume,
• temp, resistivity, mud wt (in/out)

• Drilling Operation Data
• hole depth, ROP
• bit info bit trips, type, no.,WOB, RPM
• drilling parameter changes, drilling rate
  exponent
• pump pressure, mud rate, mud pump stroke counts
• coring points, DST, LOT
• MWD / LWD

3
Mudlog Data Definitions (Partial List)

• Approximately 175 types of information

4
POSC / WITSML Meeting Sep 18, 19 2003

• POSC / WITSML Meeting Mudlog Initiative Agreed
  upon as high priority.
• Interested Parties
• Shell Linda Dodge
• BP Matthew Kirkman
• Statoil Oivind Berrgraf
• ExxonMobil (Cary Fico)
• Paradigm John Turvill
• Datalog David Tonner
• Baker Hughes Inteq John Lottinville, John
  Shields
• Halliburton Sperry Sun Robert Schave
• Petrolink Nick Williams
• SDC Geologix Samit Sengupta
• POSC (Alna Doniger, Jim Theriot)
• Landmark (Marcus Ridgway)

5
Mudlog Worksessions Dec 2003 - Apr 2004

• Core Work Team
• POSC (Jim Theriot)
• Baker Hughes Inteq John Lottinville
• ExxonMobil (Cary Fico)
• Early Discussions
• SDC Geologix Samit Sengupta
• Datalog David Tonner
• ??

• Mudlog Data Definitions
• Map to WITSML Elements
• Propose New Elements
• Cold Eyes Review of Data Elements
• Review of Other Implementations
• Data Flow / Process Data Exchange
• Data Packaging

6
Annotation Style of Information
Mudlog Data Elements
WITSML Element - New - Mudlog Annotation
lt?xml version"1.0" encoding"UTF-8" ?gt -
ltwmudLogs xmlnsw"http//www.witsml.org/schemas/
130"gt - ltwmudLoggt - ltwannotationgt
ltwannotationTypegtMidnight_Depthlt/wannotationTyp
egt ltwmdDepth uom"ft"gt11695lt/wmdDepthgt
ltwtextgt12/7/02lt/wtextgt lt/wannotationgt -
ltwannotationgt ltwannotationTypegtCore_Intervallt/w
annotationTypegt ltwmdTop uom"ft"gt9000lt/wmdTopgt
ltwmdBottom uom"ft"gt9090lt/wmdBottomgt
ltwtextgtCore 3. Core 81/2 from 9000 MD to
9090 MD, recovered 98lt/wtextgt
lt/wannotationgt
Casing Point Midnight Depth Bit Change Bit
Parameters Short Trip Gen Engr Comment Core
Interval Sidewall Core Gas Peaks Show
Report Circulation System Comments Steam Sill
Results Gen Chromatograph Comment Lithlog Log
Comment General Mudlog Comment Directional Survey
Comment MudCheck Paramertes Wireling Log
Run Etc...

• annotation type
• mdTop - uom depth mdBottom - uom depth
• or mdDepth - uom depth
• text

7
Curve Style Information
Mudlog Curve Data
WITSML Elements - logHeader, logCurveInfo, logData
Curve Data

• Drilling Ops
• ROP
• RPM
• Torque
• WOB
• Hookload
• SPM
• Pump Pressure
• Dxc
• Gas
• Total Gas
• Reference Gas
• C1, C2, C3 ...
• Etc.

• log.xsd
• logHeader
• logCurveInfo
• mnemonic - use spreadsheet curve mnemonic
• units
• mnemonic index
• nullValue
• classPOSC - Property Type Name (PWLS
  classification)
• mnemAlias - not needed
• curveDescription - use spreadsheet Description
• logData

8

• Examples
• Annotation
• Lithology
• Annotation
• Interpreted Interval
• Mixed Interval
• Directional Survey
• Annotation
• Survey Object
• Log / Curve Objects
• Lithology Qualifier
• Hydrocarbon Show
• Discrete Value Data

• Mudlog Data Definitions
• Map to WITSML Elements
• Propose New Elements
• Cold Eyes Review of Data Elements
• Review of Other Implementations
• Data Flow / Process Data Exchange
• Data Packaging

9
Business View Complexity of Capturing and
Distributing Mudlog Data
Rig
HTTP

Rig Server
Server
Mudloggers or WSG
Cuttings lithology show
Screens
descriptions,
calcimetry
,
Drilling
shale density
Reports
Contractor
(DOC, XLS)
On-line plots
Analysis
Real-time
Log Image
HTTP
(PDF, PDS)
Sensors
Engineer
Reports
(DOC, XLS)
Raw
Comments
Data
Observations
Data
Mudloggers
Time
Log Image
Multiplex
(PDF, TIFF)
disk
Edited
Database
Geol
Samples/
Depth
Ops
Cores
Data File
(ASCII, LAS)
transported
Bus. Unit
/FE
Data
from
disk
wellsite
WSG Lithology
Generalized Data Flow Model (Changes with time,
technology and organizational roles)
Show Descriptions
from SWC and cores
Network
E-Mail,
WITS
WSG
Reports
HTTP
(DOC, XLS)
Wellsite
Comments
HTTP
Observations
Geologist
Log Image

(PDF)
Archive
HTTP
QA/QC
Screens
On-line plots
Real-time
Memory
HTTP
Tools
Data
Ext Links
Reports
(DOC, XLS)
Engineer
Raw
Data
Comments
Data
Observations
disk
LWD/MWD
Log Image
(PDF, PDS,
Multiplex
Database
TIFF)
Edited
Partners/
Gov
Data File
(ASCII, LAS)
Tools
Engineer
Data
Comments
Raw
disk
Log Image
Observations
(PDF, PDS)
Data
Edited
Wireline
Multiplex
Database
Data File
(DLIS, LAS)
Real-time
Screens
On-line plots
Rig Server
10
Mudlog Format / Media Standards
Data Transfer, Usage and Display
Data Type
Recommended Format
Curves Associated Data Log Image Log Drawing
File (Geo) Files / Reports Etc. Physical Media
LAS 3 (LAS 2, XML) .PDF (.PDS,
.TIFF) .ODF .xls, .doc, .mdb
Needs to be worked with data providers, database
apps vendors
?
?
11
Next Steps Project Resource Review

• ExxonMobil, BHI, POSC, Datalog, Geologix,
  Landmark, ??
• Cold Eyes Review Mudlog Data Content, Mapping
  to WITSML Elements
• Propose Mudlog data process as seen in Business
  View - how data is generated, captured,
  distributed, used
• Data Packaging (Multiple Objects / Multiple
  Data Streams)
• Use of WITSML Server - Publish, Subscribe ...
• Service Provider and Application Vendor
  Specifications
• Tentative Pilot Project 4th Qtr pending scope
  and commitment
• Organizational Acceptance Use
• Future Potential (2005 - 2006 ?)
• Core Analysis / Reports WITSML Object
• Fluid Reports WITSML Object
• Formation Evaluation / Log WITSML Object
• Operations Report / Daily Drilling WITSML Object
• Real Time Data WITSML Data Object

12
Thank - You
13
Benefits

• Why Standardized Formats ? (Data Content)
• Ensure complete data set with at least minimal
  data information
• Expedite data receipt loading, data search
  tracking
• Expedite transfer and integration of data for
  Engineers Geoscientists
• Simplify the Complexity - WITSML benefits
  achieved through data schema standards applied
  across different processes (as provided by
  service providers and internal departments) that
  generate or modify data eliminate need for point
  to point specifications for data exchange

• Business Benefits
• Reduce administration costs
• Reduce loss of data cost associated with
  re-order, time searching or re-creating data
• Reduces time costs associated with data loading
  into repositories and applications
• Improves data quality by ensuring data is
  complete and fit for business use.
• Improved decision making i.e more comprehensive
  information readily available when needed in a
  useable format.