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Published byNoah Peters Modified over 9 years ago
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Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostics A New Approach Daniel Lucas-Clements Baker Jardine
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Petroleum Engineering & Software Introduction Baker Jardine Update PIPESIM Update Gas Lift Diagnostic Gas Lift Diagnostics in Context
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Baker Jardine Petroleum Engineering & Software PIPESIM / Baker Jardine Update Baker Jardine acquired by Schlumberger April 2001 Continue to Focus on PIPESIM Suite and ProdMan Plus Integration with SLB Products e.g. Eclipse, OFM, Finder… PIPESIM2000 launched. Development project to rewrite program interface. Integration under one user interface.
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Baker Jardine Petroleum Engineering & Software
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Baker Jardine Petroleum Engineering & Software Reservoir & Surface Facility Integration Reservoir & Surface Facility Integration Field Planning Field Planning System Optimization & Constraint Management System Optimization & Constraint Management Production Optimization Production Optimization Production Network Modeling Production Network Modeling Network Analysis Network Analysis Detailed Pipeline Studies Detailed Pipeline Studies Pipeline & Facilities Analysis Pipeline & Facilities Analysis Total System Integration Total System Integration Multilateral Well Simulator Multilateral Well Simulator Horizontal & Multilateral Well Models Horizontal & Multilateral Well Models Inflow Modeling, Nodal Analysis Inflow Modeling, Nodal Analysis Well Performance Analysis Well Performance Analysis What is PIPESIM 2000
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Baker Jardine Petroleum Engineering & Software Field Planning Tool Allows PIPESIM 2000 Well / Network models to be linked with detailed reservoir descriptions Built-in models: Look-up tables, Blackoil / Compositional Material balance models Reservoir models: Eclipse 100 / 300 and others Allows time-stepping of the coupled model through field life Includes field planning events controlled via an easy to use graphical user interface Time based events Conditional events
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Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostics
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Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostics What is happening down hole? Is my well working correctly? Can my well be more efficient? What data do I have? What do I need to correct the problem? Can I correct the problem without intervention? Do I need to collect further data? Can I justify the chosen course of action?
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Baker Jardine Petroleum Engineering & Software Traditional Approach Analyse well by well – No targeting Analyse well when new data available Mostly analyse after Flowing P&T survey Occasionally analyse with new well test First analysis leads to more data gathering Initiates use of chart recorders Cycle times on well optimisations can be long
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Baker Jardine Petroleum Engineering & Software Production Challenges The Challenge Better surveillance Faster problem diagnosis Optimum production operations The Method Data management Apply simulation
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Baker Jardine Petroleum Engineering & Software ProdMan Features Data Management Well tests, field data, SCADA & DCS data Automated collection Presentation and trending to operators Simulation Conversion of data into information with PIPESIM 2000 Automated Surveillance Diagnostics Constraint Management Real-Time Optimization
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Baker Jardine Petroleum Engineering & Software ProdMan Data Flows Field Data Well Test Data ProductionDatabase ProdMan Production System Models ( PIPESIM Suite) DataData Collection Presentation & Analysis => Information to Operators SCADA/DCS SCADADatabase
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Baker Jardine Petroleum Engineering & Software What’s Changing? Field Automation Real time data on Engineers Desk Cheaper controls for continuous control People Issues Fewer operational staff Monitoring more information Tend to be “Fire fighting”
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Baker Jardine Petroleum Engineering & Software Typical Well DCS System Interface P CH T PP P T F DCS/ SCADA System Set Point
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Baker Jardine Petroleum Engineering & Software ProdMan Gas Lift Diagnostic Determine the status of each gas lift valve and how much gas is being passed Automatic data retrieval Batch processing to screen large numbers of wells Analysis capability to diagnose individual wells
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Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostic Design Philosophy Use simulation to determine information Use real-time and offline data Design system to short list potential problem wells Allows large numbers of wells to be monitored Use available data Increase in data provides enhanced diagnostic
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Baker Jardine Petroleum Engineering & Software Batch Processing Focus on Wells with Problems
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Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostic Calculations
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Baker Jardine Petroleum Engineering & Software Long term Results stored to database Builds history for well Reporting module
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Baker Jardine Petroleum Engineering & Software ProdMan Gas Lift Diagnostic One Part of ProdMan
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Baker Jardine Petroleum Engineering & Software ProdMan Focus Production Surveillance Calculating unmeasured variables Comparing measured to calculated values Production Diagnostics Well test analysis On-line Gas Lift Diagnostics Production Optimization Field wide production optimization Reacting to hourly changes in equipment availability
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Baker Jardine Petroleum Engineering & Software ProdMan Structure DB SCADA 1 TEXT/ EXCEL PRODMAN Functional Modules MODULE ACTIVE X COMPONENT MODULE ACTIVE X COMPONENT MODULE ACTIVE X COMPONENT MODULE ACTIVE X COMPONENT MODULE ACTIVE X COMPONENT MODULE ACTIVE X COMPONENT Third Party Applications PIPESIM Suite Applications FIELD DATA MANAGER (ADO,DAO,ODBC,API's) SCADA 2 LAN WAN PRODMAN DB
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Baker Jardine Petroleum Engineering & Software Other Gas Lift Based Modules Validation of well tests Well Performance Analysis Module Field Wide gas lift optimisation Constraint calculation Dual String optimization Retrieval / Return of data to control system
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Baker Jardine Petroleum Engineering & Software Related Modules ESP Diagnostic Data Processing Process Material Balance Production Allocation Long term monitoring Inflow Performance
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Baker Jardine Petroleum Engineering & Software Conclusions Automation is multiplying data availability Analysis must capture value in data Tools should focus on presenting - The problems wells The complete picture to understand the problem The Challenge – Are you making the most of your data?
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