Energistics Asia South Region Meeting (Production) PRODML SIG Update
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Transcript of Energistics Asia South Region Meeting (Production) PRODML SIG Update
Energistics Asia South Region Meeting(Production) PRODML SIG Update
New Delhi, India Alan Doniger14 January 2007 Chief Technology OfficerLe M▲ridien New Delhi HotelEnergistics
Background
• In recent years, many energy companies have begun to exploit the benefits of highly instrumented producing fields seeking optimal operation of these assets.– These efforts are known by many names,
including Smart Field, Digital Field of the Future, e-Field, i-Field, etc.
• A key element in these achievements is making good use of the near real-time data streaming from the field to the office or operations center.– To do this well requires the use of industry
standards for data and for the communications and computing infrastructure.
The Role of Industry Standards
• The PRODML initiative, hosted by Energistics, is being driven by energy companies and vendors who believe the industry needs a freely available, universally applicable set of industry standards.– For data definitions, formats, semantics– For communications and computing infrastructure based
on state-of-the-art technologies and standards– To establish a level playing field for vendors– To enable low-risk and low-cost use of proven
optimization solutions including interchangeability– To accelerate and encourage innovation in the design,
configuration, and deployment of optimization solutions
GatheringSeparation & Distribution
Injection (Water, Steam, CO2)
Water Handling
GasTreating Facilities
OilTreatingFacilities
GasExport
Facilities
OilExport
Facilities
Reservoir Management:
Gas & OilContract
Deliverability
Scope: Asset View
The Production DomainInitial Scope
•From bottom of the well to initial separation
•Decisions we can effect in a day
Scope of PRODML Application Software
• Operational Modeling– Predictive algorithms to predict future measurements from
historical measurements and operational plans• Allocation and Reconciliation
– Derives critical values from measurements, as in back-allocation 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
Basic PRODML Optimization Use Case
RTData
Capture
Meas& Model
Data
Ops Modeling
Appl
Alloc& Recon
Appl
Surv &Monitor
Appl
Simul &Optimiz
Appl
Advis &Alert Appl
PRODML’s Vision
• We all talk about “Fields of the Future”– But we want them now.
• The task of integrated optimization and other operational application software solutions could be horrendous– What is we had an industry standard that would
interface – not necessarily integrate – software applications?
– Wouldn’t that be a good thing?– Isn’t this a problem that everyone in the industry
faces?• PRODML can help take us there!
What is this data?
• Now– Emergency Shutdown
Data– Fire & Gas Data– Process Data
• Reservoir• Well• Surface• Pipeline
– Device Data• End elements,
DTS data• RTU/PLC data• SCADA/DCS data
• Future– Sensor technology will
enable the capture of continuous streams of data from every part of the physical environment
What is “Optimization?”
• Optimization– A word we use often, but rarely understand– An objective often mentioned, but rarely
achieved– If achieved, it is rarely sustained
• One Definition– Improving the bottom-line results by timely,
effective and sustained use of sufficient, good production information.
The Business Case
• Enable continuous optimization– Artificial Lift– Estimate well/reservoir oil, gas, and water flows– Safeguard integrity– Manage abnormal situations– Get the right information to the right people, at
the right time, in the right context and in the right workplace to serve the right work processes.
• Examples that illustrate the business case follow.
Gas Lift Optimization
0.0
0.5
1.0
1 7 13 19 25Time
Oil
Pro
du
ctio
n
.
True Production Potential Periodic Manual Optimization No Optimization Activity
GasLift OptimizationApplication
SCADA orHistorian
2 Phase FlowModel
Real time dataTo and from wells
Real time dataTo and from SCADA Optimal Set Points
From model
Real time dataTo model
Gas Lift Optimization
• When a well is completed, we decide how to set up gas lift parameters using multi-phase flow models.
• The initial production, however, declines over time.• After a few years, the well production is analyzed and
revised gas lift parameters are put in place. Production increases, but then gradually declines again.– This gives the saw-tooth pattern shown in the
diagram.• If we analyze and model continuously, we can achieve
production up to the blue line on the diagram.• The space between the saw-tooth and blue lines is the
prize from continuous optimization. – Increased recovery, reserves, production
• This is a potential benefit from PRODML.
Potential Optimization Business Benefits
• Improved technical integrity• Improved safety• Increased production• Reduced operating expenses
• A Shell engineer working on the PRODML team reported:– Production is about 4 million BBLS oil equivalent daily– Conservatively, optimization can contribute a 5%
increase or 200k BBLS daily– To achieve the same increase would require 2 new
platforms in the Gulf of Mexico• Cost: 3 Billion USD• Time: 5 years• People: 3,000
PRODML is a Key Enabler for These Benefits
• PRODML helps get real-time data from the field capture systems to applications
• PRODML helps move data among applications
REAL-TIME Data– ESD– F&G– Processes– Devices– Etc.
Applications– Abnormal Sit.– HC
Accounting– Maintenance– Simulators
• Reservoir• Well• Pipeline• Process
Set Points andRecommendations
Field Data
What was the PRODML Work Group?
• Five oil companies proposed an initial standards development effort with established goals and constraints.
• Eight vendor companies and POSC (now Energistics) were invited to join the effort.
• The size was kept as small as practical.• All results will be by consensus and will be shared openly.• The duration was limited to one year – Q4 ’05 – Q4 ‘06
– Afterwards, the results went to Energistics for maintenance and further development.
• State-of-the-art communications and computing technologies would be put to use.– Internet, Web Services, SOA, W3C, etc.
PRODML Teams
• Steering Committee– Set direction and deliverables; oversight– All members represented
• Operational Team – Day-to-day management by funding companies
and team leaders– Weekly conference calls
• Content Team– Business and data requirements; use cases
• Technical Team– Infrastructure requirements; architecture
• Communications Team• Pilot Coordination Team• Legal Framework Team
PRODML Initial Scope
• Work Group participants agreed to scope limitations for the initial work effort:– Start from field data already received and stored
in Historians– Stop short of closed-loop control changes– Address only optimizations with recommended
changes that can be implemented within one day• Reference Use Cases were chosen:
– Gas Lift Well (Inlet Gas Changes)– Free Flowing Wells (Surveillance)– Field-wide (Surveillance)
• Each pilot testing activity supported one of these use cases
Data Scope
• Production Systems in Producing Fields consist of– Flow Network topology (Flow Network XML Schema)
• Production and injection wells, equipment, etc.• Flow connections: outlet to inlet
– Measurements (Volume Reporting XML Schema)• Production volumes and flow rates• Pressures, temperatures, etc.
– Test results (Well Test XML Schema)• Production well test results
Application Plug-and-Play
• PRODML seeks to enable application software components from different vendors to interact in a consistent way.– As Service Requests– And Service Responses
• One vendor’s component may be exchanged for another vendor’s component with comparable functionality– Without damaging the integrity of the
optimization loop configuration• Some of the pilot testing activities explicitly
demonstrated application Plug-and-Play.
PRODML Working Culture
• Funding Companies (5)• Vendor Companies (8)• Standards Organization (Energistics)• Teams• Project Management (Full-time)• Team Interactive Web Site• Public Web Site• Shared Computing Facility (“Sandbox”)• Process
– Use Case Described and Agreed– Interactions (Cartoons and Spreadsheet)– Pilot Testing Activities (Software)
• Public Demonstrations / Seminars
Tracking PRODML Progress
Months
2 4 6 8 11 14
• Project planning• Team Kick-Off
• Workshop preparation and scheduling
• Standards investigation• Develop Scope
• Conduct workshops• Detailed Requirements• Macro Design
• Process mapping • Technology assessment• Detailed Requirements• Macro Design
Design-Develop-Test
• Project Management• Communication
Build
• Implementation guide outline• Process flow documentation• Plan Pilot
Pilot
ImplementationPhase 1 – Scope and Define
Steering Committee Meetings
Content
Technology
• Design POC• Build POC
Requirements Build & Communicate
• Design Communication Plan• Develop Test Bed Scenarios
StartAugust 16, 2005
EndNovember 15, 2006
Industry Review
Strong Typing
November 15, 2006V1.0 Release
How has PRODML built on WITSML?
• WITSML (Wellsite Information Transfer Standard – Markup Language) is an Energistics family of standards primarily intended to support the movement of drilling data from well-site to office. – Started in early 2001– Promoted and supported by the WITSML Special
Interest Group (WITSML SIG) made up of over 40 industry organizations
• Similarities– Initial development organization and process– Data and infrastructure aspects re-used or adapted– Longer-term alignment remains a goal
PRODML’s Completion Announcement
• PRESS RELEASE (September 28, 2006) coordinated with SPE Conference in San Antonio and a PRODML Hospitality Suite Session
• PRODML Version 1.0, open industry standards, completed and released to improve data exchange and work process efficiency in production optimization.– Launch of Work Group in August 2005– Viability demonstrated with four realistic pilot
testing activities led by BP, Chevron, Shell and Statoil
• From 1 to 1000 wells• Plug-and-Play multi-vendor applications• Meaningful workflows
PRODML’s Completion Announcement (2)
• Standards under custody of Energistics for maintenance and further development.
• XML-based data exchange solutions are available for adoption and extension
• Work Group Participants– BP, Chevron, ExxonMobil, Shell, Statoil– Halliburton, Invensys, OSIsoft, Schlumberger, Sense
Intellifield, TietoEnator, Weatherford– Energistics
• Further information on www.prodml.org or from Energistics
PRODML ’07 Work Group
• Repeat Successful Aspects of PRODML Work Group in 2006– Small but sufficient number of participating
companies– Small but sufficiently meaningful scope of new
functionality achievable within one year’s effort– Funding from participating companies to pay for
full-time project management, collaborative meetings, support facilities, subject experts where needed, etc.
– Comprehensive work planning based on well defined teams with strong leadership and frequent communications within and across the teams
What’s New for 2007?
• Replace remaining hard-coded and proprietary interfaces of optimization application software with PRODML-based solutions– Example: Driving applications from a common
Production Flow Network Model description.• Extend the footprint of the types of optimization that
PRODML has been demonstrated to support.– Example: Demonstrate support for ESP (Electrical
Submersible Pump) Artificial Life Well Optimization• Demonstrate the ability to integrate the previously
published Energistics Production Reporting Standards with PRODML-based solutions.– Example: Have back-allocated wellbore volumes
reported and/or recorded using PRODML defined Web Services
In the Marketplace
• Vendors are planning to develop commercial PRODML-based versions of products during 2007.– This work will be enhanced by the additional work
planned for ’07, e.g. widening the footprint, as this will strengthen the market for such products.
• Without PRODML strength and growth, there are risks:– Point solutions will continue to be developed
• Preventing low-cost, low-risk innovative optimization deployments, especially those that mix and match products from multiple vendors
– Energy companies will develop solutions themselves• Further fragmenting the market and making conversion
to standards-based solutions more difficult
Vision for 2007 and Beyond
• For end of 2007– Demonstrate additional PRODML-based functionality
through Pilot Testing Activities.• Build on Version 1.0; try to maintain compatibility
– Encourage the PRODML SIG Steering Committee to define a multi-year roadmap for PRODML Standards, that increasingly:
• Helps reduce cost, time, complexity and risk for production optimization solutions using communications and computing technologies
• Enables novel and valuable workflows with integration not conceived or not practical until now
• Work with other solutions and standards related to production optimization, wells, reservoirs, processing plants, production accounting, etc.
Vision for 2007 and Beyond
• Consider similar efforts in associated areas, such as– Well Management– Well Optimization– Reservoir Performance– Opportunity Portfolio Management– Facility Optimization– Etc.The PRODML approach and the PRODML
architecture may fit well in some or all of these areas.
PRODML ’07 Work Group Scope: Flow Network Model
• Requirements– Basic Flow Network Model content: Units, Ports,
Connections, Locations, etc.– Enable applications to respond to configuration changes
either of Units/Connections or operational parameters– Address connections with adjacent models, e.g. reservoir– Enable levels of abstractions and subsets – Enable different depths of information about Units– Enable interactions with existing / emerging standards
• Proposed Pilot Testing Activities– Support multiple levels of detail and support major/minor
configuration changes– Consider Web Services to supply Flow Network
information to applications, including information about changes
PRODML ’07 Work Group Scope: Well Types
• Priorities for ’07– Fluid-Driven Artificial Lift – Surface Connections only
• Consider Time Cycles for intermittent gas lift/plunger lift• Jet and Hydraulic Pump wells
– Power-Assisted Artificial Lift• Consider electric motors at the surface • Consider mechanical lift • Consider variable frequency drives in electrical controllers [later]
– Down-Hole Sensors• Consider wellbore configuration (WITSML Completion)• Consider multi-zone allocated volumes• Consider further aspects of well description [later]
– Down-Hole Equipment [after progress on the above]• Consider down-hole gas lift for surveillance• Consider artificial lift device internals, e.g. motor / pump shaft• Consider flow controller devices
PRODML ’07 Work Group TimeLine & Milestones
• January – June Cycle– January – Planning, sign-up, initiation of work and Pilots– February – Design, architecture confirmed, Pilot interactions,
Paper prototypes– May – Pilot software work progressing, review by participating
organizations, plan July-December Cycle– June – Pilot demonstrations ready, Public review period, Accept
July-December Cycle plan• July – December Cycle
– July – Change Requests from January-June Cycle, Planning, sign-up, initiation of work and Pilots
– August – Design, architecture confirmed, Pilot interactions, Paper prototypes
– October – Pilot software work progressing, review by participating organizations
– November – Pilot demonstrations ready, Public review period, Plan 2008
– December – Change Requests from July-December Cycle.
PRODML SIG and PRODML ’07 Work Group
SteeringCommittee
Spec.Team*
Impl. Sup.Team*
’07 Ops.Team
’07 ContentTeam
’07 Tech.Team
Promoting and supporting useof current Standards and
supporting needs of PRODML ’07 WG
Focus on defining, implementing,piloting, demo-ing ’07 capabilities
in optimization
* Coverage for existing Standards:- optimization stds (PRODML V1)- reporting (WITSML Prod Rptg)- temp surveys (WISML Prod DTS)- fluid properties (WITSML Prod FP)
PRODML ’07 WG
Continues Successful Ways of Working
• IP and Non-Commercial policies• Value, short-duration, Pilot testing activities• Interaction with PRODML SIG and other Standards/SIGs• Resource commitments• Self-funded• Closed participation of small but adequate number of members
– Energy, Service/Software, Technology, Standards [Energistics]• Communications out to Energistics community and the industry• Comprehensive hands-on project management• Agreed Terms of Reference; approved by SIG Steering Committee• Operational Team, Interaction Tools (Web Sites)• Meetings and Conference Calls• Effective Work Group Team structure
How to Participate in PRODML in ‘07
• Use PRODML Version 1.0 Standards– Develop (and sell) or license and use PRODML-based
products• Join the open PRODML Special Interest Group
– The Energistics open user community for all Production industry standards, including PRODML
• Also, Fibre Optic Temperature Surveys, Production Reporting, and Laboratory Fluid Sample Analysis Results
– Promotes and supports use of PRODML V1.0 Standards Contribute to the long-term roadmap for PRODML Standards
– Contact Energistics for details• Join the PRODML ’07 Work Group
– A self-funded, closed work effort to push PRODML to a new level of functionality mainly through more Oil Company led, Vendor involved Pilot Testing Activities
Shell Pilot Testing Activities
• Free-Flowing Well Surveillance• Purpose
– Notify operator whenever measured and projected production volumes differ beyond a defined threshold
– Uses three sources of information• Actual and two sets of simulation results (Plug-and-Play)
• Data Validator Application [Invensys: InFusion]– Triggered according to a schedule
• Historian [OSIsoft: PI]• Simulation #1 [Petex: Prosper]• Simulation #2 [Weatherford: WellFlo] • Notification [Invensys]
Shell Pilot
PE
TE
XP
rosp
er
We
ath
erf
ord
We
llFlo
models
3
models
3
55
OSISoft PIHistorian
InvensysInFusion App Env
6Invensys
Notification
Response2b2b
GetDataInvoke2a2a
Response4b4b
GetFromStore4a4a
GetF
romS
tore
1a
4 Get operational conditions
1 Get measured data every X minutes
6 Assess Results
7 Notify alarm
2 Get simulated data
3 Determine well type
5 Simulate well performance
8 Assess Results
8
7 AddToStore
1b
Response
BP Pilot Testing Activities
• Gas Lift Optimization• Purpose:
– Optimize Gas Lift by recommending revised lift gas rate changes
– Plug-and-Play demonstrated by 2 Monitor applications
• Data Consolidator #1 (Monitor) [OSIsoft: ACE]• Data Consolidator #2 (Monitor) [Intellifield:
SITECOM]• Historian [OSIsoft: PI]• Optimizer [Weatherford: GL Optimizer]• Notification [Intellifield: Portal]
GetD
ataInvokeG
etDataInvoke
6a
6a
GetF
romS
toreG
etFrom
Store
1a
1a
BP PilotS
en
se In
tellifie
ldP
orta
l
OSISoftPI Historian
Response
6b
Response
6b
OSISoftACE Consolidator
Sense IntellifieldSITECOM Consolidator
Response
4b
GetFromStore
4a
GetF
romS
toreG
etFrom
Store
3a
3a
Response
3b
Response
3b
Response
Response
1b
1b
models
7
WeatherfordGL Optimiser
2
2
5
5
8
8
3 Get measured data
1 Request gas lift rate every X minutes
4 Get manual input data
6 Trigger optimiser
7 Optimise
9 Send optimiser results
2 Assess results
5 Consolidate data
8 Distribute results
9
9
AddT
oStore
AddT
oStore
Chevron Pilot Testing Activities
• Field-wide Water Management• Purpose
– Notify user when water tanks will reach high level, and prescribe rates for highest impact wells
– 1000 wells (of 10,000 in the field)• Production Accounting [TietoEnator: EC] • Monitor Application [Invensys: InFusion]• Historian [Invensys: InSQL]• Simulator [Weatherford: LOWIS]• Forecasting [Landmark: DSS]• Data Integrator [Schlumberger]• Notification [Invensys]
GetD
ataInvoke6a
GetD
ataInvoke19a
GetD
ataInvoke
18a
GetD
ataInvoke
21a
GetDataInvoke
9a
GetD
ataInvokee
23a
Chevron Pilot
InvensysInSQL
Data SetSimulator
InvensysInFusion
models
3
InvensysNotification
EnergyComponents
models
7
LandmarkDSS
models
20
WeatherfordLOWIS
SchlumbergerData Integrator
2
1
4b
GetF
romS
tore
4a
5a 5b
14
8a 8b
6b
models
10
11a 11b
23b
18b
9b
21b
GetD
ataInvoke
16b 16a 19b
models
17
12
13
25 Send instruction data
16 Trigger optimisation
19 Get well forecasts
3 Determine tank type4 Get operational conditions
14 Forecast tank level15 Notify Alarm
2 Surveil tanks every X days
20 Determine well type
18 Get well statuses
21 Get allocations
17 Determine well type
24 Develop prioritised list
10 Determine well type
22 Forecast wells23 Get rig on/off dates
1 Simulate data sets
5 Get simulated tank level data6 Get water allocations
7 Determine well type8 Get simulated sales & status data9 Get well test data
11 Get simulated well data12 Consolidate data
13 Allocate flows
22
24
15AddToStore
25
AddToStore
Statoil Pilot Testing Activities
• Optimize smart wells• Purpose
– Optimize smart wells and report recommended operational parameters
• Data Consolidator (Monitor) [Schlumberger: DECIDE] • Historian [Out of Scope]• Production Accounting and Operational Parameters
[TietoEnator, PROSTY]• Optimizer [Schlumberger: IAM]• Simulator [Petex: PROSPER]
GetDataInvoke
8a
AddT
oStore
12a
Response
12b
Statoil PilotP
ET
EX
Pro
spe
r
GetF
romS
tore7a
Response
7b
SchlumbergerIAM
Energy ComponentsPROSTY
Response
8b
models
9
Sch
lum
be
rge
rD
EC
IDE
12 Distribute recommended results
11 Optimize
7 Get manual data
3 Get well dynamic data
1 Poll Historian
AspentechHistorian 13
1
22 Trigger time base every X minutes
4 Consolidate data
5 Trigger optimizer
4
6 Get cleansed & consolidated data
8 Get simulated data
9 Determine well type
10 Simulate well performance 10
11
13 Optimize
3a
GetF
romS
tore3b
Response
5aGetDataInvoke
5b Response
6aG
etFrom
Store
6bR
esponse