SF 02 09B Navarrete Gasatacama

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Operational Intelligence in Pipeline Natural Gas Transmission Wilson Navarrete, [email protected] www.gasatacama.cl Luis Yacher, [email protected] www.contac/scan.cl

description

pipeline

Transcript of SF 02 09B Navarrete Gasatacama

  • Operational Intelligencein Pipeline Natural Gas Transmission

    Wilson Navarrete, [email protected] Yacher, [email protected]/scan.cl

    Copyright 2006 OSIsoft, Inc. Company Confidential. All rights reserved.

  • 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 Argentinas Northwest Basin. YPF and Pluspetrol, under long term agreementsOverviewSome 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.

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  • AricaMejillonesIquiqueAntofagastaAlto NorteSmelterCerro DominadorGasAtacama PowerPlantBOLIVIAARGENTINAP. PatacheTaltal PowerPlant (Endesa)TaltalMain PipelineFrom Cornejo (Argentina) to Mejillones (Chile)Length: 951 km 20 pipe2 compressor stationsCurrent Capacity 5.4 million scm /dayMaximum Capacity 8.5 million scm /day

    Taltal pipelineFrom Mejillones to Taltal power plantLength: 223 km, 16 and 12 pipeMaximum Capacity 2.2 million scm /dayPipeline systemAtacama GasPipelineCuenca GasPipelineTaltal GasPipelineCornejoPERUCHILE

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  • Overview - Transmission Gas Pipeline SCADA System3 Gas Control RoomsSantiago ChileAntofagasta ChileJujuy Argentina

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  • The RtPM Infrastructure ( Chile & Argentina Gas Control Room)MS Excel Add-inData LinkPI-TGNET

    PI Server

    SimulationpipelinestudioTGNETPI-NotifyEmailBack-endOperational SystemsMiddleTierRtWebParts Web Browser / Enterprise PortalClientsPI Interface

    Data abstraction layerOA Framework

    OA PDA via WiFi

    PI-ACE( *)CalculationEngineReal-timeData CacheSCADAObjectAutomationServerMicrosoft W2K3

    PI Notify( *) EngineGIS Interface (*)ESRIOAViewpipelinestudio

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  • Operational Intelligence RtPM application reviewPipeline status and online reporting examplesOnline calculations for efficiency, quality and operational indicatorsProvides 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.

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  • 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

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  • 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 architecturePIPI ACEpipelinestudioMultivariate Analysis

    External Models ACE (Native) ModelsControl Systempipelinestudio

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  • 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.

  • 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 FlowsGas Compressor(GC) Stations DischargeCornejo GC Suction PressureFlow at Cornejo GC.Operation

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  • OperationInput Data: Simulation of the Future

    Client Flows (Nominations)Volcan GC Pressure DischargeCornejo GC Suction PressureFlow at Cornejo GCCornejo GC Discharge Pressure, as an MAOP to force TGNET to control by flow (Cornejo GC is controlled by flow, through a pressure setpoint).

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  • OperationOutput data Predicted Future State

    Clients Pressures and FlowsPressure at valve locationsPressure, Flow and Power at compressor stations.

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  • PI DataLink Add InnUser options:Generate Transient dataGenerate PredictionTransient Re StartImport Values from TgNet ModelData Validation and export to PI

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  • Sample Results ObtainedDetailed compressor station calculation: Units, RPM y PowerLinepack 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) :historyreal time next hourReal Time and Model Based VariablesA custom ActiveX was developed to show Time Series & Spatial values on the Process Book

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  • 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

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  • Compressor Modelling Operation MappingOperation 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 valvesVerification 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.

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  • Valve Model, Module DataBase Editor

    Model Parameters Management

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  • Statistical Multivariate analysisPurpose:

    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 Tags 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

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  • Few statistical indexes allow for complex variable relationships representation.Indexes provide early alerts for process deviationsDrill from aggregated indexes down to individual variables give the problem explanationPerfomance Analysis, summaryPhenomenological and empirical models allow for the online supervision of the pipeline

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  • Thank you for your attentionThe 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.

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