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Operational Intelligencein Pipeline Natural Gas Transmission
Wilson Navarrete, [email protected]
www.gasatacama.cl
Luis Yacher, [email protected]
www.contac/scan.cl
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 2
•The operation area is home to the largest copper mines, lithium and nitrates reserves in the world.
•GasAtacama Pipeline owners are Endesa, Chile (50%) and CMS Energy, USA (50%)
•Gas supply comes from Argentina’s Northwest Basin. YPF and Pluspetrol, under long term agreements
OverviewSome characteristics of the pipeline are: •The 800+ miles GasAtacama Pipeline goes from northern Argentina to northern Chile, through the Atacama desert and the Andes mountain range, reaching altitudes over 16,000 feet.
•A Remote control and supervision system based on satellite telemetry is necessary due to :Very difficult access to the pipeline locations, adverse climate conditions and the need for secure and controlled operations.
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 3
Arica
Mejillones
Iquique
Antofagasta
Alto NorteSmelter
Cerro Dominador
GasAtacama PowerPlant
BOLIVIA
ARGENTINA
P. Patache
Taltal PowerPlant (Endesa)
Taltal
Main Pipeline• From Cornejo (Argentina) to Mejillones (Chile)• Length: 951 km 20“ pipe• 2 compressor stations• Current Capacity 5.4 million scm /day• Maximum Capacity 8.5 million scm /day
Taltal pipeline• From Mejillones to Taltal power plant• Length: 223 km, 16“ and 12“ pipe• Maximum Capacity 2.2 million scm /day
Pipeline system
Atacama GasPipeline
Cuenca GasPipeline
Taltal GasPipeline
Cornejo
PERU
CHILE
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 4
Overview - Transmission Gas Pipeline SCADA System
3 Gas Control RoomsSantiago ChileAntofagasta ChileJujuy Argentina
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 5
The RtPM Infrastructure ( Chile & Argentina Gas Control Room)MS Excel Add-in
Data Link
PI-TGNET
PI Server
Simulationpipelinestudio®
TGNET
Trend Client
PI-NotifyEmail
Back-endOperational Systems
MiddleTier
RtWebParts Web Browser / Enterprise PortalClients
RelationalDatabaseMS-SQL
MRO MAXIMO
TimeSeries Data
GAS Flow Computer
DANIEL
Real TimePoint DataTime
Series Data
OPC RS Linx Server
PI InterfaceData abstraction layer
OA Framework
OA PDA via WiFi
PI-ACE( *)Calculation
EngineReal-time
Data Cache
SCADAObject
AutomationServer
Microsoft W2K3
PI Notify( *) Engine
Process Book
GIS Interface (*)ESRI
OAView
pipelinestudio®
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 6
Operational Intelligence RtPM application review
• Pipeline status and online reporting examples• Online calculations for efficiency, quality and
operational indicators• Provides a common view of critical business and
operational data from different sources throughout the company.
• Enabling plant floor and operations personnel, as well as operation management to monitor real-time performance against business goals.
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 7
Trend Graphics manager
Operation and supervision tool that allows a direct an easy access to pipeline variables using role specific MDB
structures as well as “personal views”
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Report AGA 3:2000 , AGA8 GAS Supercompressibility (Gas Custody Transfer, Metering Station )
Integrates disparate data into an organizing data model.
The data model brings a broader business context to the data delivering comprehensive views of a situation in real-time”
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 9
Gas Compressor Station Supervision
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Reciprocating Compressor Power, Efficiency &. Flow Calculation
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Gas Quality Control
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Perfomance management of the pipeline
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System architecture
PI
PI ACE
pipelinestudio®
Valve Modeling
Compressor Modeling
Multivariate Analysis
•External Models
•ACE (Native) Models
Control System pipelinestudio®
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 14
•GasAtacama has developed an application, customized to facilitate the operation and to complement the pipeline simulation and tracking performed with the pipelinestudio® Gas (TGNET) software package form Energy Solutions International. www.energy-solutions.com
•The application uses a reference model calculated from TGNET to evaluate the real operation of the pipeline.
•The main purpose is to determine the future behavior of the pipeline system under certain forecasted operation conditions.
GasAtacama PI-TGNET (pipelinestudio®)
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 15
•GasAtacama PI-TGNET application allows for the complete automation of the simulation of future forecasting of the pipeline, based on historic information as a baseline for dynamic simulations.
GasAtacama PI-TGNET interface is a powerful tool that enables a quick and accurate prediction of the pipeline operation since it loads historic information (real data) from PI directly into TGNET for a more reliable dynamic analysis. •Steady State Generation: It establishes the initial condition for pipeline simulation. It considers about 72 hours of historical data in order to create the initial conditions for transient (dynamic) simulation. •Transient Simulation: for every variable a complete transient analysis is performed.
GasAtacama PI-TGNET
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Simulate the “past” 96 hours of the transient history of the pipeline, in order to accurately reproduce the “present” state and predict the “future” transient states of the operation.
Model Operation base concept
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Input Data - Simulate the “Past” 96 hours
• Client Flows• Gas Compressor(GC) Stations Discharge• Cornejo GC Suction Pressure• Flow at Cornejo GC.
Operation
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Operation
Input Data: Simulation of the Future
• Client Flows (Nominations)• Volcan GC Pressure Discharge• Cornejo GC Suction Pressure• Flow at Cornejo GC• Cornejo GC Discharge Pressure, as an MAOP to
force TGNET to control by flow (Cornejo GC is controlled by flow, through a pressure setpoint).
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 19
Operation
Output data – Predicted Future State
• Clients Pressures and Flows• Pressure at valve locations• Pressure, Flow and Power at compressor
stations.
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 20
PI DataLink Add InnUser options:
Generate Transient data
Generate Prediction
Transient Re Start
Import Values from TgNet Model
Data Validation and export to PI
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 21
Sample Results Obtained
Detailed compressor station calculation: Units, RPM y Power
Linepack change validation.
Initial – Final, Balance.
Actual vs. Simulated.
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Sample results, Pressure Profiles History, Actual and Predicted (Activex Add Inn for ProcessBook)
Pressure Profiles (along the pipeline length) :
•history
•real time
•next hour
Real Time and Model Based Variables
A custom ActiveX was developed to show Time Series & Spatial values on the Process
Book
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 23
•Using SCAN, a PI DataLink and PI-ACE based application development tool.
•Off Line modeling tool that runs as an add in to PI DataLink
•On Line analysis models runs on PI-ACE, model values are sent to PI Server and shown on ProcessBook and Excel
•Dedicated models were developed for pipeline valves and compressor perfomance supervision.
•Model parameters are managed in PI-MDB
Advanced analytical applications for equipment and pipeline perfomance
monitoring
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 24
Compressor Modelling Operation Mapping
Operation point is shown using the
Compressor curves as calculated based on the
actual operating conditions.
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Actual operation is compared with the simulation of “best” cases.
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Smart diagnostic of pressure control valves •Verification of real vs. theoretical operation, using real time data from PI and a Valve Model. •Monitor performance of control valves variables in order to meet with standard practices as per IEC 60534 related to industrial control valves performance. •Uses on-line PI-ACE model calculations of control valve performance, including percentage of opening, noise level, critical conditions and performance curves.
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 27
Valve Model, Module DataBase Editor
Model Parameters Management
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Statistical Multivariate analysis
Purpose:
evaluate the operation against empirical (statistical) models and then be able to early detect abnormal conditions.OFF Line analysis and Model Build is done using SCAN OffLine, that works with DataLink/Excel.
Models are then downloaded to PI-ACE, using the SCAN Online shell.
Using PI-MDB, Input/Output Tag´s are then assigned to the models, calculated values are sent back to PI, for displaying, alarming and reporting
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Multivariate Analysis, examples
1 Real vs. Predicted values for the output pressure of a Gas Station showing a good fit for the theoretical model
2 Model parameters are trended, showing a deviation from the pattern limits
3 Individual Statistical Indexes are trended, three of them showing an abnormal variability, Pattern indexes shows the deviation trend in advance as compared to the individual variables deviations
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 30
•Few statistical indexes allow for complex variable relationships representation.
• Indexes provide early alerts for process deviations
•Drill from aggregated indexes down to individual variables give the “problem explanation”
Perfomance Analysis, summary
•Phenomenological and empirical models allow for the online supervision of the pipeline
Copyright © 2006 OSIsoft, Inc. Company Confidential. All rights reserved. 31
Thank you for your attention…
The value of GasAtacama Operational Intelligence solution, based on OSISOFT platform, comes into effect when pipeline users take actions based upon the information provided by the solution.