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Update on POSC xField
1. Update on POSC xField WITSML SIG Public Meeting 29 April 2004 Calgary David Archer [email protected]
2.
POSC xFieldxField = {
SmartField,
i-field,
e-field,
Digital Oilfield of the Future,
Intelligent Field,
Field of the Future,
Digital Oil and Gas Field,
…}
3. The Smart Field
measure-model-control … measure-model-decide-execute… throughout the asset lifecycle
4. Smart Systems
From self-guiding missiles to self-replenishing fridges, the basicapproach of all “smart technology” is measure-model-control
–
–
–
–
measure system properties
model actual vs desired behaviour
derive required correction parameters (adaptive control)
implement control
Acquire
∆
Control
xField
Model
Analyze
Source: Shell
5.
Time-scaleFast
cycle
Business Headquarters
Capacity Planning Design
[months/years]
-Asset life cycle and installed based maintenance or growth
-Supply Chain Management & Market and customer demands
Operational Planning
[months/years]
-Planning of injection/production plan and resources
-Planning drilling and workover resources
-Supply Chain Management & Market and customer demands
Scheduling
[days/months]
-Scheduling of injection/production plan and resources
-Opening and closing wells or partial completions
-Adjusting well operating parameters
Supervisory Control
[minutes/hours]
-SCADA systems for coordinating flow stations and pipelines
-Gas distribution/optimization on a pipeline network
-Monitoring wellheads, multiples and flow stations
Regulatory Control
[sec/minutes]
-Flow, pressure and temperature in wells and separator
-Fuel injection to produce heat out of a boiler
Automation level
Slower
cycle
Well & Surface facilities
Source: Saputelli SPE 83978
6.
Layered ArchitectureRef: SPE 79893
7. Some related activities
CERA DOFFSPE Real Time Operations TIG
SPE Digital Energy Study Group
API/GCIMT eFields Project
Real Time Reservoir Management [TTG Group-OG21]
WITSML SIG
Strategic Decision Sciences ‘Roadmap’
UH CIOO
…
Many internal / joint projects in oil / service companies
…
8.
CERA DOFF: Potential Industry benefits / remarksEnhanced recovery: 125 billion BOE
Lower operating costs: $4-8 billion/year
Increased production rates: increase utilization 2-6%
Lower facilities cost: 5-10% (3-5 years)
Decreased drilling costs: 5-15%
But
Benefits are not independent, and they require
Integration of higher quality data
Significant change in organizations and work processes
Total asset awareness
Acting on awareness
Increased use of full asset awareness
Source: CERA DOFF executive summary
9. Comments from Operators (re: DOFF)
Better decisions fasterPrediction vs. reaction
$250 million USD / year cost savings
It’s not about the technology
Integrate facilities, wells, subsurface
Find right level of ‘smartness’ for each asset
10.
Key xField TechnologiesCERA1
Real-time drilling
Intelligent
completions
3D visualization
Remote sensing
monitoring & control
RTRM2
Drilling
Wells
Seismic
Facilities
Data Management
Tools & Software
Saputelli3
RT drilling &
completion
Integrated asset
management
RT production
optimization
1 CERA DOFF Executive summary
2 TTA report on Real Time Reservoir Management. OG21 - Norwegian Continental Shelf
3 L. Sapultelli, et al. SPE 83978 [JPT December 2003]
xField =
{SmartField, i-field, e-field, Digital Oilfield of the Future, Intelligent Field,…}
11.
Classification of xField …Saputelli1
Measurement
Analysis &
Interpretation
Decisions &
Optimization
Change & Control
Data Management
ChevronTexaco2
Instrumentation
-Surveillance
Information
-Analysis
Interpretations
- Optimization
Innovation
- Transformation
SDC3
Basic
Standardized
Structured
Integrated
Optimal
1 L. Sapultelli, et al. SPE 83978 [JPT December 2003]
2 T. Unneland, IQPC RT Field Management, February 2004
3 Strategic Decision Science, Roadmap to Enterprise Optimization Study
xField =
{SmartField, i-field, e-field, Digital Oilfield of the Future, Intelligent Field,…}
12.
Asset Maturity Model (AAM)Basic - Minimum IT structure, ad hoc processes
Standardized - COTS solutions with minimum of customization
Structured - Configured / customized IT solutions to meet specific needs
for the asset
Integrated - Assets networked to operation center(s), EPR systems, wide
range of applications and vendors
Optimal - Smart devices (with human oversight), field performance
integrated with back office, feed-forward and feedback loops for optimal
control
Source: S. Shemwell, SDS, ( www.energypulse.net)
13.
POSC xField: suggested workXML standards for collaboration
extending footprint of WITSML to include all data types required for
Production System Surveillance and Reservoir Surveillance
Smart Sensors
what is needed for plug-and-play at each level of OSI model
API’s for downhole intelligent devices, protocols (SOAP?), metadata
and metadata management
Market Studies
smart surveillance
for “shared services” in data acquisition and management,
value-added services (pre-processing, analysis, interpretation)
publishing,…
potential business models, and implementation technologies: web
services.
14.
POSC xField ApproachesUnderstanding / problem identification
- pursue problems will clear (shared) business purposes
Adopt / adapt WITSML
-new Data Types to focus on Production Operations
-production volumes, production tests, temperature, pressures
Focus = Architectures + Data
Develop standards via Pilot Projects
Players = oil + service + regulators
Incremental, rapid results
Catalogues of related work / relevant standards
15. POSC xField SIG events
8 May 2003 (Houston)http://www.posc.org/meetings/may03_SFields
23 May 2003 (London)
http://www.posc.org/meetings/may03uksfields
19 November 2003 (Houston) @ POSC Annual Meeting
http://www.posc.org/meetings/nov03
14 January 2004 (Houston) @ IOO Workshop
http://www.posc.org/meetings/jan04_ioo
17 May 2004 (Houston) @ UH 13:30-16:30
http://www.posc.org/meetings/may04_ioo
June or September 2004 (Europe)
16.
xField meeting attendeesAnadarko
BP
ExxonMobil
Marathon
Shell
Halliburton
Schlumberger
Accenture
Total
CGEY
HP
Microsoft
SAIC
SGI
Invensys
OSISoft
Paras
POSC
UK DTI
Univ. of Houston
ABB
SDS
AspenTech
eProduction Solutions
TheEnergyForum
17.
An oil company perspective on StandardsStandards save money!
uniform hardware, applications, data save $100 Million/year
Standards lead to better science and increased value
Use standards to address interface issues
It’s better to get common than to be best
Industry standards provide cost effective bridge to the digital
oil field
18.
Source: Downes & Mui, “Unleashing the Killer App”19. Some lessons learned / best practices
The Right Players - clear focusBP & Statoil
Baker, Halliburton, Schlumberger, NPSi
Commitment
Initial funding by oil companies
Oil & service companies remain engaged after initial delivery
Processes
Practical, incremental approach
Clear focus on target outcomes - through implementation
Frequent communications - steering & technical teams
Technologies
XML, SOAP
Output
XML Schema + Server API + sample implementation
Openness / evolution
Transfer to POSC for commercially neutral custody, publication, promotion
and evolution