Overview / Road Map / Approach
1. PRODML Background
2. PRODML
–
–
Opportunity
Scope, Strategy and Road Map
3. Other relevant industry activities
– SPE Realtime Optimization TIG
– SPE IT Section
4. PRODML Process
–
–
Use Cases
Solution Development
PRODML Background – New Millenium
• Boom in highly instrumented fields. Energy
companies keen to exploit opportunity for
better use of near real-time data in optimal
operation of assets. (aka “Digital Oilfield” etc.)
• Current landscape fragmented – multiple
commercial and in-house tools
• Efficient means of interoperability between
these tools is essential for more efficient
workflows
PRODML Background
PRODML – Work Group ‘06 and ‘07 Participants
An initiative started in 2005 by five energy companies, then joined by
eight vendor companies and an industry-neutral standards
organization.
Energy
Companies
BP
Chevron
ExxonMobil
Shell
Statoil Hydro
Conoco Phillips
Pioneer
Vendors
Halliburton
Invensys
OSIsoft
PETEX
Schlumberger
Sense Intellifield
TietoEnator
Weatherford
Aspentech
Euriware
Infosys
Kongsberg
Intellifield
Matrikon
P2ES
Tibco
Zedi Solutions
Standards
Organization
Energistics
PRODML: Business Drivers
• The Opportunity:
– Production application domain highly fragmented
– Doing nothing requires point to point integration: costly, slow, very
high maintenance  Opportunity to fix this!
• The Objective:
– Make integration cheaper, faster, simpler
– Enable dynamic creation of “value loops” with new workflows and
applications added “on the fly”
• Supply chain models “standards” and “consolidation”
– SCADA – many vendors, public standards
– G&G/Reservoir – few vendors, de facto standards
– Production – industry standards approach PRODML
PRODML: Addresses Key Area of Asset Management
High Frequency
Business Processes
Low Frequency
After Chevron,
ExxonMobil
30
Sensor
Data
SCADA
Systems
Reservoir
Models
OPC Domain
Geoscience
Data
De facto Standards
Application
A
Application
B
Application
C
Application
etc.
2008
2006 PRODML
Many Production Applications
Initial Scope
PRODML Domain
Maintenance
Systems
Drilling
Systems
Maintenance Domain
WITSML Domain
2010
THE
THEPROBLEM
SOLUTION
Multiple Component
PRODML
Open
Solutions
Standards
Lack of Interoperability
standards
PRODML Focus: Production Optimization
Roadmap in place: 3 more years to industry standard
High Frequency
Business Processes
Low Frequency
30
PRODML Focus
Timeline:
Timeline:
Daily
Weekly
Field
Surveillance
Development
Production
and
Management
Planning
Reporting
Timeline:
Field
Optimisation
Year
Year
Year
Year
Year
2006 2006
2007
2008
2009 2009
2010
2007
2008
2009
20062006
2010
2006 2007
2007 2008
2008 2008
2009
2010
2007
2009
2010
2007 2008
2008
2010
2006
2009
2010
2006
2007
2008
2009 2010
2010
2006
2007
2009
(i) (i)
(i)
(ii)
(i)
(ii)(i)
(i)(i)(ii)
(ii)(ii)
(i)
(ii) (ii)
(i)
(ii)
(i)(ii)
(i) (i)
(ii)
(ii)
(i) (ii)
(ii)
(ii)
Use Cases (i)
ReservoirReservoirUse
Water SmartShared
well Water Reservoir
Well
Welltest Monthly
Integrate
with
Use
Integrate
Use Smart well Shared
Production
Devwith
Use
Smart
well
Fluids
Smart
well
Fluids
Well
Welltest
Integration
Use
Shared
network
Shared
Reservoir
Integration
Monthly
Gas
ModelDTShandling
Daily with
Reporting
ESP
SRP
Use
Production
control
opt.capacity
handling opt.
with
completions
validation
facilities
Cases
Cases
Planning
network
network
ops.
Cases
Cases
completion
validation
facilities
Cases offtake
model
with optimiz-ation
network capacityvoidage
and
with
process regulatory
regulatory
forecast
downhole
opt.
maintenance
Lift
based
well
Monitoring
reporting
NOJVs
wells
wells
Use
Gas forecast
G/L & with
flowing
Downhole
Daily & process
Reporting
ESP
SRP
model
model
with
reporting
Cases
optimiz& downhole
optimiz-monitoring
transfer
maintenance
change
model
with
simulation
reporting
Dev
Planning
allocation
ation
referencing
propagation
different
Cases ationOpt.
Lift
well
sensors
reportingsimulation
NOJVs
wells
wells
allocation
change
different
surveillance
detail
levelDTS
Opt.
surveillance detail
PTQ,
propagation
level
Year
Year
Use Case Examples:
[Timescales
approximate]
Gas Lift
Optimisation
(changes in well
status or lift gas
available) during 1
day
Smart well control
optimisation
(offtake control
from production
data) weekly
ProductionReservoir
Operational mgt.
(transient testing,
voidage etc)
monthly
Development
Planning
(production data
integrated with
reservoir
simulation) year
Scope of PRODML Applications
•
•
•
•
•
Operational Modeling
– Predictive algorithms to predict future measurements from
historical measurements and operational plans
Allocation and Reconciliation
– Derives critical values from measurements, as in backallocation of volumes to wellbores
Surveillance and Monitoring
– Continuous comparison of actual to predicted measurements;
out of range condition invokes analysis
Simulation and Optimization
– Predictive algorithms to predict future measurements and
related set points that achieve pre-defined objectives
Advisory and Alert
– Invoked when post-analytical predicted and actual
performance differ significantly; alerts for remedial control
changes
PRODML Data Scope
• Production Systems in Producing Fields consist of
– Flow Network topology (Product Flow Model)
• Production and injection wells, equipment, etc.
• Static Model of Flow connections: outlet to inlet
– Measurements (Product Volume)
• Production volumes and flow rates
• Pressures, temperatures, etc.
– Test results (Well Test)
• Captures the results of a well test
PRODML – Material Progress 2007-08
• A common language for production data has been
created
• Commercial application has commenced, eg:
–
–
–
–
Production Reporting (Statoil)
Waterflood management (Chevron)
DTS data management (Weatherford)
First Commercial Applications (Schlumberger)
• R&D Proofs of Concept have been substantial:
–
–
–
–
Gas Lift Optimisation
Downhole sensors
5,000 well dataset transfers
Network Model changes moving between applications
PRODML Public Site
Documentation Overview
Workflow Analysis and Use Case
Development
Workflow Analysis and Integration – Relevant Activities
Group
History
Mission
SPE Realtime
Optimization TIG
Established after SPE forum in July 2001
(“Reconciling realtime production
optimization and reservoir
management”). Operates under structure
of SPE TIG
Four SPE papers
To promote and encourage the development of
hardware and software tools including associated
standards and work processes for ‘real-time’
optimization of hydrocarbon systems
PRODML
Started in 2005 by five oil companies.
Subsequently joined by service providers
/ software developers and transitioned to
Energistics for stewardship
Three SPE Papers
Develop an open industry standard for data exchange to
support production optimization within a ‘digital oil field’
context
SPE IT Section
(Oilfield
Integration
Subcommittee)
Formed in March 2006. First meeting at
SPE ATCE in September 2006
Facilitate implementation of the digital oilfield by
integration of information technology, people, processes
in the oilfield business by:
1.Providing best practices for integration of information
technology between subsurface and field operations
2.Promoting establishment of a new discipline
combining information technology and oilfeld
technologies…..
3.Develop information security best practices…..
4.Provide a forum to combine petro-technical
information initiatives
4/15/2008
Workflow Analysis – Generic Process
Identify Opportunities
Develop List of
Ideas
Document
Flow
Improvement
Opportunity
Select
Opportunities
to Pursue
Develop Solution
Develop
Specifications
Build
Solution
Develop Model
(Detailed Data
Flow &
Application
Interactions)
Develop Use
Case
Develop Flow
Diagram
Quantify
Business Value
Optional Steps shown in Dashed Boxes
IT Perspective
Business Perspective
SPE RTO TIG
PRODML
SPE IT OI
Workflow Analysis and Integration – PRODML Process
Strategy
Scope
Inventory of
Opportunities
Stage 1
Stage 2
Stage 3
Modeling
Use Case
Business Perspective
4/15/2008
Flow Diagram
Detailed Data Flow
& Application
Interactions
Stage 4
Solution
Development
IT Perspective
Workflow Analysis and Integration – PRODML Process
and Deliverables
Strategy
Scope
Inventory of
Opportunities
• Pilot Project
List
Stage 1
Stage 2
Stage 3
Use Case
Flow Diagram
Detailed Data Flow
& Application
Interactions
Solution
Development
Verbal
Description of
Process
Graphical
Representation
of Workflow
Paper-based
Solution (XML
transactions)
Application
Build / Test and
Deploy Plans
• Use Case Description
(.doc)
• Flow Description
• Animated flow
Diagram (.ppt)
Modeling
4/15/2008
• Process and
Data Definition
(.xls) and XML
flow (.txt)
Stage 4
• Code Development
• System Integration &
Testing
• Deployment
PRODML Solutions
1. BP – Optimized gas lift (model
management)
2. Chevron – Field wide water management
3. Shell – Distributed Temperature Sensing