baker jardine petroleum engineering & software gas lift diagnostics a new approach daniel...
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Baker JardinePetroleum Engineering & Software
Gas Lift Diagnostics A New Approach
Daniel Lucas-ClementsBaker Jardine
Baker JardinePetroleum Engineering & Software
Introduction
Baker Jardine Update PIPESIM Update Gas Lift Diagnostic Gas Lift Diagnostics in Context
Baker JardinePetroleum 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 JardinePetroleum Engineering & Software
Baker JardinePetroleum Engineering & Software
• Reservoir & Surface Reservoir & Surface Facility IntegrationFacility Integration
Field PlanningField Planning • System Optimization & System Optimization & Constraint ManagementConstraint Management
Production OptimizationProduction Optimization
• Production Network ModelingProduction Network ModelingNetwork AnalysisNetwork Analysis
• Detailed Pipeline StudiesDetailed Pipeline StudiesPipeline & Facilities AnalysisPipeline & Facilities Analysis
Total System IntegrationTotal System IntegrationMultilateral Well SimulatorMultilateral Well Simulator• Horizontal & Multilateral Well ModelsHorizontal & Multilateral Well Models
• Inflow Modeling, Nodal AnalysisInflow Modeling, Nodal AnalysisWell Performance AnalysisWell Performance Analysis
What is PIPESIM 2000
Baker JardinePetroleum 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 JardinePetroleum Engineering & Software
Gas Lift Diagnostics
Baker JardinePetroleum 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 JardinePetroleum 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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Production Challenges
The Challenge Better surveillance Faster problem diagnosis Optimum production operations
The Method Data management Apply simulation
Baker JardinePetroleum 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 JardinePetroleum Engineering & Software
ProdMan Data Flows
Field DataField Data
Well Test Data
Production Production DatabaseDatabase
ProdMan
Production System Models (PIPESIM Suite)
Data Data Collection Presentation & Analysis=> Information to Operators
SCADA/DCS SCADA SCADA DatabaseDatabase
Baker JardinePetroleum 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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Typical Well DCS System Interface
P
CH
T
PP
P
TF
DCS/ SCADA System
Set Point
Baker JardinePetroleum 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 JardinePetroleum 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 JardinePetroleum Engineering & Software
Batch Processing
Focus on Wells with Problems
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Gas Lift Diagnostic Calculations
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Long term
Results stored to database
Builds history for well Reporting module
Baker JardinePetroleum Engineering & Software
ProdManGas Lift Diagnostic One Part of ProdMan
Baker JardinePetroleum 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 JardinePetroleum Engineering & Software
ProdMan Structure
DB
DB
SCADA 1
TEXT/EXCEL
PRODMAN
Functional Modules
MODULEACTIVE X
COMPONENT
MODULEACTIVE X
COMPONENT
MODULEACTIVE X
COMPONENT
MODULEACTIVE X
COMPONENT
MODULEACTIVE X
COMPONENT
MODULEACTIVE X
COMPONENT
Third PartyApplications
PIPESIMSuite
ApplicationsFIELD DATA MANAGER
(ADO,DAO,ODBC,API's)
SCADA 2
LAN
WAN
PRODMANDB
Baker JardinePetroleum 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 JardinePetroleum Engineering & Software
Related Modules
ESP Diagnostic
Data Processing Process Material Balance Production Allocation
Long term monitoring Inflow Performance
Baker JardinePetroleum 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?