1. Integrating GIS & IM Systems
Acreage Analysis & Ranking at Enterprise Oil
Gareth Smith (Exprodat Ltd)
Adrian Birch (Enterprise Oil plc)
Mark Sawyers (Enterprise Oil plc)
2001 ESRI Petroleum User Group

2. Enterprise’s Business
The North Sea is a core Enterprise area
over 130 blocks
20 fields, producing over 150,000 boepd
Enterprise look to actively manage NS portfolio
North Sea Regional Team (NSRT) set up to support this process and identify new opportunities
Need to leverage all available information / knowledge sources when analysing opportunities

3. NSRT: Business Drivers
Reduced discovery size and higher risk means that optimal portfolio management is key to business success in the North Sea
Licence trading activity increasing as companies divest and rationalise portfolios
$10 billion of assets traded in 2000
4.8 billion boe equivalent traded in 2000 (double ‘99)
Web-based asset trading initiatives making it easier to trade / sell assets
~ 120* opportunities currently available for trade on LIFT (UK licence trading site)
* Excludes private opportunities

4. Recent Deals (April-November 2000)

5. NSRT: Goals Rapid review of exploration opportunities
screening
platform for detailed work
Exploration block and portfolio ranking
instantaneous pursue/monitor/avoid listings
have an opinion on every block in the CNS
Continual development and refinement
no more repeated work
capture knowledge from previous studies
Target resources on the best opportunities
Find hydrocarbons that others have missed

6. Enterprise’s IM Systems
Enterprise have established a leading edge IM system: the Exploration & Production Data Management System (EPDS)
Uses Landmark’s OpenExplorer technology at its core
Integrates over 25 different information sources for the UKCS
physical integration of structured data
‘virtual’ integration of unstructured, spatial and external data sources using Web and GIS
The challenge: leveraging EPDS to support the NSRT’s business objectives

7. EPDS Architecture Model
Subsurface Portal: RAPID / ArcIMS
The User Environment
Integrated Software Suite & GIS
Project/Apps DBs
Regional OE
3rd Party DB’s
Digital Data
Shared Knowledge
Project Documenter
OpenJournal
Knowledge Reference System
Lessons Learnt
Purchased
Data Sets
Trade/Partner Data
Log/Seismic/ Production etc
Web & Intranet
Operational/Archive DB’s
Spatial
Data

8. Solution: Acreage Analysis System
Development of the DART system
Spatial and structured data extraction from EPDS using custom ArcView GIS routines
Data manipulation and analysis using MS Access
Data presentation thorough GIS and MS Office tools
Knowledge capture through Access application and external project documentation tools (OpenJournal, Project Documenter)

9. DART: General Architecture2
Transfer to Access 1
Extract Data in GIS 3
Analyse & Report 4
Link to EPDS
EPDS

10. Step 1: GIS Data Integration / Extraction
Custom Avenue application developed to set up data extraction process
User selects data for extraction / transfer to data analysis application
Designed to be as generic as possible
accesses data from standard OpenWorks data structures where possible
user controlled data classification set-up
goal: use in all of Enterprise’s offices worldwide
Data extraction process time typically 2-3 hrs for CNS size area (~ 800 blocks)

11. Help!

12. EPDS ‘Structured’ Data Sources
Description
Arthur Andersen
Well, lease, field, facilities, pipelines
Asset Geoscience (Target)
Hydrocarbon shows, untested HC columns, test information, basin stats
RRI
Tests, shows, well picks, CPI
DTI, LIFT, UKOOA
Licence rentals, fallow block lists, available acreage, released seismic data availability
Prospect Inventory (in-house)
Prospect information

13. EPDS Spatial Data Sets General ‘culture’ data
wells, fields, leases, pipelines, facilities, water depth etc.
Regional surface / isochore maps
constructed from in-house data, RRI picks and other regional data sets using Zmap+
imported into ESRI GRID format direct from Zmap+
Play maps
reservoir distribution maps for all major stratigraphic levels at a regional scale
maturity / migration maps
Attribute analysis (e.g. amplitude)

14. Regional Structure / Isopach Maps

15. Regional Play Maps Maureen Formation Lista Formation Sele Formation
Balder Formation

16. General Culture / Facilities

17. GIS Data Extraction

18. GIS: Standard Data Definitions

19. Step 2:Access Data Manipulation / Analysis
Custom Microsoft Access application developed to ‘condition’ data imported from GIS routines
User controls individual data type ‘scoring’ rules
Analysis models can be stored and recalled
Sums individual attributes to provide a total score for each block
calibrate against prospect inventory and well known acreage
Blocks can be reported in several ways (e.g. by company, portfolio, score)
Additional metadata can be captured against a block
External information can be linked to a block (e.g. block review document, link to Rapid web portal)

20. Ranking Factors

21. Licence Information Review

22. Detailed Analysis & Knowledge Capture

23. Link to RAPID

24. Step 3: Data Analysis
Results easily exported for review in Excel or GIS
A number of pre-defined reports provided
Plan to produce a ‘live’ link from GIS to Access database

25. Access Reports

26. Net Yet To Find (Fields > 10 MMB)20 40 60 80
100
120
140
160
MMBOE
Company A
Company B
Company C
Company D
My Company
Company E
Company F
Company G
Company H
Company I
Company J
Company K
Company L
Compnay M
Company N
Company O
Company P
Company Q
Company R
Your Company
Net Yet To Find (Fields > 10 MMB)

27. Portfolio Comparison - All Blocks
2500
2000
1500
Block
Structure
Wells
Plays
Economics
1000
500
Company A
Company B
My Company
Company C
Company D
Company E
Company F
Company G
Company H
Company I
Company J
Company K
Company L
Company M
Company N
Company O
Company P
Company Q
Your Company
Company R
Company S

28. Spatial Display of Results
Slides removed for handout:
Summed ranking
Play ranking
LIFT ranking
Portfolio ranking

29. Business Benefits
Acreage ranking and analysis process reduced from months to hours
Allows Enterprise to be fully pro-active in opportunity assessment and asset management
Prospect portfolio can be calibrated against a regional model
Knowledge is captured and time is saved in future evaluations
Allows Enterprise to leverage investment in information assets

30. What Next? Roll-out to all regional offices Expand data coverage
economics and risk
prospect information
Tighter GIS / Access application integration
Deliver results through ArcIMS
Tighter integration with portal and knowledge capture tools
Apply methodology to other ‘assets’
fields
prospects