Gas lift diagnostics a new approach
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Gas Lift Diagnostics A New Approach. Daniel Lucas-Clements Baker Jardine. Introduction. Baker Jardine Update PIPESIM Update Gas Lift Diagnostic Gas Lift Diagnostics in Context. PIPESIM / Baker Jardine Update. Baker Jardine acquired by Schlumberger April 2001

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Gas Lift Diagnostics A New Approach

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Gas lift diagnostics a new approach

Gas Lift Diagnostics A New Approach

Daniel Lucas-Clements

Baker Jardine


Introduction

Introduction

  • Baker Jardine Update

  • PIPESIM Update

  • Gas Lift Diagnostic

  • Gas Lift Diagnostics in Context


Pipesim baker jardine update

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.


Gas lift diagnostics a new approach

Network Analysis

  • Production Network Modeling

Pipeline & Facilities Analysis

Well Performance Analysis

  • Detailed Pipeline Studies

  • Inflow Modeling, Nodal Analysis

Production Optimization

Field Planning

  • System Optimization & Constraint Management

  • Reservoir & Surface Facility Integration

Multilateral Well Simulator

  • Horizontal & Multilateral Well Models

What is PIPESIM 2000

Total System Integration


Field planning tool

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


Gas lift diagnostics

Gas Lift Diagnostics


Gas lift diagnostics1

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?


Traditional approach

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


Production challenges

Production Challenges

  • The Challenge

    • Better surveillance

    • Faster problem diagnosis

    • Optimum production operations

  • The Method

    • Data management

    • Apply simulation


Prodman features

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


Prodman data flows

ProdMan Data Flows

DataData Collection Presentation & Analysis

=> Information to Operators

Field Data

Production

Database

ProdMan

Well Test Data

SCADA

Database

Production System Models

(PIPESIM Suite)

SCADA/DCS


What s changing

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”


Typical well dcs system interface

Typical Well DCS System Interface

DCS/ SCADA System

Set Point

T

P

P

F

T

P

P

CH


Prodman gas lift diagnostic

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


Gas lift diagnostic

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


Batch processing

Batch Processing

  • Focus on Wells with Problems


Gas lift diagnostic calculations

Gas Lift Diagnostic Calculations


Long term

Results stored to database

Builds history for well

Reporting module

Long term


Prodman

ProdMan

Gas Lift Diagnostic

One Part of ProdMan


Prodman focus

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


Prodman structure

ProdMan Structure

DB

PRODMAN

DB

PIPESIM

LAN

Suite

FIELD DATA MANAGER

Applications

(ADO,DAO,ODBC,API's)

SCADA 1

WAN

Functional Modules

SCADA 2

MODULE

MODULE

MODULE

ACTIVE X

ACTIVE X

ACTIVE X

COMPONENT

COMPONENT

COMPONENT

TEXT/

Third Party

EXCEL

Applications

MODULE

MODULE

MODULE

ACTIVE X

ACTIVE X

ACTIVE X

COMPONENT

COMPONENT

COMPONENT

PRODMAN

DB


Other gas lift based modules

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


Related modules

Related Modules

  • ESP Diagnostic

  • Data Processing

    • Process Material Balance

    • Production Allocation

  • Long term monitoring

    • Inflow Performance


Conclusions

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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