Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostics A New Approach Daniel Lucas-Clements Baker Jardine

Petroleum Engineering & Software Introduction  Baker Jardine Update  PIPESIM Update  Gas Lift Diagnostic  Gas Lift Diagnostics in Context

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.

Baker Jardine Petroleum Engineering & Software

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

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

Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostics

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?

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

Baker Jardine Petroleum Engineering & Software Production Challenges  The Challenge  Better surveillance  Faster problem diagnosis  Optimum production operations  The Method  Data management  Apply simulation

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

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

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”

Baker Jardine Petroleum Engineering & Software Typical Well DCS System Interface P CH T PP P T F DCS/ SCADA System Set Point

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

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

Baker Jardine Petroleum Engineering & Software Batch Processing  Focus on Wells with Problems

Baker Jardine Petroleum Engineering & Software Gas Lift Diagnostic Calculations

Baker Jardine Petroleum Engineering & Software Long term  Results stored to database  Builds history for well  Reporting module

Baker Jardine Petroleum Engineering & Software ProdMan Gas Lift Diagnostic One Part of ProdMan

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

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

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

Baker Jardine Petroleum Engineering & Software Related Modules  ESP Diagnostic  Data Processing  Process Material Balance  Production Allocation  Long term monitoring  Inflow Performance

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?