REAL TIME EXPERT SYSTEMS FOR PRODUCTION OPTIMIZATIONalrdc.org/workshops/2005_Spring2005GasLift... · olonhini Corrêa Sthener - PETROBRAS Rio de Janeiro-Brazil February 24 and 25

SME/API/ISO Spring 2005 Gas-Lift Workshop

Rio de Janeiro-Brazil February 24 and 25 2005olonhini Corrêa Sthener - PETROBRAS

RT Expert System for Prod. Optimization

REAL TIME EXPERT SYSTEMS FOR PRODUCTION OPTIMIZATION

Edson Henrique Bolonhini - UN-RNCE/ST/ELVJosé Francisco Corrêa - UN-BA/ST/ELVSthener R.V. Campos - CENPES/PDP/TE




OUTLINE OF PRESENTATION

Field Production IntegrationStrategy and concept of intelligent systems

Expert System for Continuos Gas Lift Variable definitionsControl strategyField examples

Expert System for Intermittent Gas LiftIntroductionSystem ArchitectureHardwarePattern RecognitionControlOver all architectureRemarks

Conclusions




INTEGRATIONPRODUCTION

MANAGEMENT

DATAMANAGEMENT

ARCHITECTUREMODEL

MONITORING

OPTIMIZATION

CONTROL

Field Production Integration




DecisionIt is a process that, considering the uncertainty and preferences, choose just one action among several possibilities.

Intelligent SystemAn intelligent system must be capable to self adaptation undernew situations, understand relations between facts, discovermeanings, recognize strategies and learn based on experience.

$$$ Investments proportional to uncertainty $$$





Expert System for Continuous Gas Lift Variable definitionsControl strategyField examples


Conclusions




PROCESS VARIABLE DEFINITIONPROCESS VARIABLE DEFINITION

ion using flowrate injection asurement together with the valve

Control Valve - Globe ¾”

IxP converter

Pressure Transmitter

Dif Pressure Transmitter

Temperature Trasmitter

3 x solenoide

Flow Computer

Pressure Gauge

Coaxial Cable

Filter / Regulator

Eletric cable – instrumentsBottom hole Cable

Field PLC Data integration / analysis

Closed Loop System

Otis Valve




DATA FLOW CHARTDATA FLOW CHART

SCADASCADA

SCADASCADAClientClient

[ Petrobras Net ][ Petrobras Net ]SoftwareSoftware

Process

Communication

Control

Trends

OPERATIONFIELD UPN & RFQ

REMOTE ACESSNatal

TRANSMISSIONRiacho da Forquilha

ardwareardware

DATA BASEDATA BASE

SoftwareSoftware Software & HardwareSoftware & Hardware

SoftwareSoftware

DiagnosticControl Update

HardwareHardware



RT Expert System for Prod. OptimizationSUPERVISORY INFORMATIONSUPERVISORY INFORMATION




100 21OperationCondition Strategy

Verification

PwfrefIdentification

10Step

Identification

6

51Strategy

Execution

5System

Reconfiguration

OptimizatinOptimizatinOptimizatinTriangleTriangleTriangle

mização de Pwf, com controle de gás injetado.

wf

Qgi

Pwf(min)

Qgi (pto de trabalho)




WellWell onon StableStable Operation Operation –– Switching states 51 and 21Switching states 51 and 21

Analysis Time = 3h Well stabilized with state 21 extended

Waiting Time

40 min

Wellhead Pressure [kgf/cm2 ]StateGas lift injection flowrate - Qgi [m3 /d ]Gas lift Pressure Line [kgf/cm2 ]

Casing Pressure Setpoint [kgf/cm2 ]Casing Pressure [kgf/cm2 ]Valve opening [%]Bottom Hole Pressure [kgf/cm2 ]

Reference Bottom Hole Pressure [kgf/cm2 ]Filtered Bottom Hole Pressure [kgf/cm2 ]




ControlControl CicleCicle

Injection setpoint change afterprocess reach the minimum

value of the function..

Wellhead Pressure [kgf/cm2 ]StateGas lift injection flowrate - Qgi [m3 /d ]G lif P Li [k f/ 2 ]

Casing Pressure Setpoint [kgf/cm2 ]Casing Pressure [kgf/cm2 ]Valve opening [%]B H l P [k f/ 2 ]





Comparation Manual x AutomaticComparation Manual x Automatic

Formation TestComparation P and T = OK

Modo de operação: ManualStatus do algoritmo: State 5 cte

Operation Mode: AutomaticStatus do algoritmo: : On States

Wellhead Pressure [kgf/cm2 ]StateGas lift injection flowrate - Qgi [m3 /d ]G lif P Li [k f/ 2 ]

Casing Pressure Setpoint [kgf/cm2 ]Casing Pressure [kgf/cm2 ]Valve opening [%]B H l P [k f/ 2 ]





OperationalOperational Comparation Comparation -- Qgi manual x QgiQgi manual x Qgi automaticautomatic

Modo de operação: ManualStatus do algoritmo: State 5 cte

Operation Mode: AutomaticStatus do algoritmo: On States

Wellhead Pressure [kgf/cm2 ]StateGas lift injection flowrate - Qgi [m3 /d ]Gas lift Pressure Line [kgf/cm2 ]

Casing Pressure Setpoint [kgf/cm2 ]Casing Pressure [kgf/cm2 ]Valve opening [%]Bottom Hole Pressure [kgf/cm2 ]






Expert System for Continuous Gas Lift Variable definitionsControl strategyField examples


Conclusions




INTRODUCTION

Intermittent Gas Lift Typical Installation




INTRODUCTION

IGL cycle - Casing & Tubing pressure vs. timeCP

A

B

C

D E

Time

A B

C

D E

Time

TP

ITTc




SYSTEM ARCHITECTURE

Central Office

•Well mechanical characteristics•CP/TP graphic patterns•Control algorithm

•First stage supervisory action•Matching

•Polling•Injection scaling•Supervision•Major Data base




Hardware

Gas Injection ON/OFFDI

DI

DI Man/Auto Key

AI

Tubing PressureAI

DO–Motor valve Gas Injection

SGLPCasing Pressure

Plunger magnetica sensor

DO– Motor valve Prod Line




Hardware cycleIntermittent Gas Lift

AQUISITIONProcess

Neuro-Fuzzy

PR

On/Off

PT

Gas lift well SGLiP

Action Module

User editedControl

Algorithm

SignificantPoints

PatternRecognition

Data acquisition

ACTUATION

Plg

Casing and TubingPressure

Acquisition




CP

A

BC

D E

Time

A B

C

D E

Time

TP

Pre

ssur

eP

ress

ure

PATTERN

Rec.

Over all cycleIntermittent Gas Lift

ALGORITHM

CONTROL

Act i oniT

cT




CP Patterns

A

B

C

D E

1

A

C

D

E

2

A

C

D E

3

1 - Normal

2 - Motor-valve Leakge

3 - GL valve leakge




CP Patterns

A

C E4

A

C

E

5

A

C

E

6

D

A

C

E

7

D

4 - GL valve closed

5 - GL valve open

6 - GL valve take to long to close

7 - After pattern 4




Over all cycle

ALGORITHM

CONTROL

Intermittent Gas Lift

CP

A

BC

D E

Time

A B

C

D E

Time

TP

Pre

ssur

eP

reur

e

PATTERNS

Act i on

ss

iTcT




Control Algorithm

Estructure:

VARIABLES

START// coments

IF (condition)

THENCode

ELSECode

ENDIFCode

RETURN

END

Code

Functions:

VM ( xx ) Read / Write integer values

VD ( xx ) Read / Write real values

SetMsgMCI ( Cod , text ) To send messages to central office

SetTimer(x,yy) Timer setting;

ValTimer(x) To get timer value

Matching(x,1) Matching result to CP patterns

Matching(x,2) Matching to TP patterns

Confiança(x,1) Similarity degree to CP patterns

Confiança(x,2) Similarity degree to TP pattern

PreFundo (prof, press) To calculate pressure at prof. depth

SelCiclo ( x ) To set cicle X to the system




Control Algorithm

EXAMPLE:




Graphic User Interface




Graphic User Interface




Engineering Analysis GUI



RT Expert System for Prod. OptimizationOver all architecture

COP- FBM

OP-FBM

PCP – 81ESP – 02SRP –177 COP- BA

OP-BA

PCP –120SRP – 68COP- CAN

OP-CAN

IGL – 105

COP- AGOP-AG PCP – 07

ESP – 36SRP – 10IGL – 99

COP- AROP-AR

PCP – 10SRP – 97IGL – 60

COP-MGOP-MG PCP – 53

SRP – 22IGL –167

431 IGL wells




IMPORTANT REMARKS

• The system was installed in 431 wells located at four production areas;• Now a days the production team is been trained to manage the system

and develop and implement the algorithm and patterns;• The culture changes and production personnel motivation to use the full

system potential is proven to be a big chalange;• A learning curve is now being developed, and a big effort is being done in

training production and maintenance teams;• An improvement in the IGL well operational control were reported by the

field personel;• A reduction in production losses was also reported by field personel.




CONCLUSIONS

• The technology used allows the field engineer to put his own knowledge and experience in the controller;

• The use of AI concepts were successfully used to analyse the IGL;

• The use of control algorithm need to be improved to obtain better optimation results;

• Time has to be given to field personel explore the system full potencial.

Documents

REAL TIME EXPERT SYSTEMS FOR PRODUCTION OPTIMIZATIONalrdc.org/workshops/2005_Spring2005GasLift... · olonhini Corrêa Sthener - PETROBRAS Rio de Janeiro-Brazil February 24 and 25