Self-Tuning Algorithm for Intermittent Gas Lift Gustavo Moises - - PowerPoint PPT Presentation

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Gas-Lift Workshop Qatar February 4 - 8, 2007 Self-Tuning Algorithm for Intermittent Gas Lift Gustavo Moises Artificial Lift Engineer Jaildo Silva Petroleum Technician Joseil Silva Petroleum Technician Nadilson Muniz Petroleum

SLIDE 1

Gas-Lift Workshop

Qatar February 4 - 8, 2007

This presentation is the property of the author(s) and his/her/their company(ies). It may not be used for any purpose other than viewing by Workshop attendees without the expressed written permission of the author(s).

Self-Tuning Algorithm for Intermittent Gas Lift

Gustavo Moises – Artificial Lift Engineer Jaildo Silva – Petroleum Technician Joseil Silva – Petroleum Technician Nadilson Muniz – Petroleum Technician

SLIDE 2

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 2

Summary

1) Abstract 2) Starting Point 3) Solution Design 4) Pilot Implementation 5) Lessons Learned 6) Conclusion

SLIDE 3

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 3

Abstract

This work describes a self-tuning algorithm that was developed in PETROBRAS to identify equipment failures and behavior changes of intermittent Gas Lift wells Prior Objective: Improve asset production cycle efficiency

SLIDE 4

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 4

Starting Point

Snap Shot

Daily Analysis of 150 Wells;
Low Produced Oil Rate per Well;
Delayed Equipment Failure Diagnoses;
Complex Production Losses Identification;
Limited Number of Employees;
One Controller per Well;
PETROBRAS in House SCADA System;

SLIDE 5

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 5

Starting Point

WAN LAN LAN

SLIDE 6

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 6

Starting Point

SLIDE 7

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 7

Solution Design

Petroleum Technician Expertise made by Preliminary Analysis of

Signature of Casing Pressure;
Signature of Tubing Pressure;
Closed Pressure Limit of Gas Lift Valve ;
Geometry of Well;
Valves Position;

SLIDE 8

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 8

Solution Design

Signature of Casing Pressure (CP)

1) Normal Signature : Major Points Identification

A. Surface On-Off Valve Opening;
B. Gas Lift Valve Opening;
C. Surface On-Off Valve Closure;
D. Gas Lift Valve Closure;
E. End of Acquisition Time;

SLIDE 9

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 9

Solution Design

Signature of Casing Pressure (CP)

Most Common Equipment Failures Signatures

2 ) Surface On-Off Valve Opening Failure 3) Gas Lift Valve Opening Failure

SLIDE 10

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 10

Solution Design

Signature of Casing Pressure (CP)

Most Common Equipment Failures Signatures

4) Casing Leakage 5) Surface On-Off Valve Leakage

SLIDE 11

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 11

Solution Design

Signature of Casing Pressure (CP)

Events described by binary variables

I) Was the Surface On-Off Valve opened? Yes / No II) Was the Gas Lift Valve opened? Yes / No III) Is there any Casing Leakage? Yes / No IV) Is there any Surface On-Off Valve Leakage? Yes / No V) If there is a leakage, is it severe? Yes / No VI) Is the Casing Pressure Signature normal? Yes / No

SLIDE 12

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 12

Solution Design

No Yes / No No Yes Yes Yes

Signature 4

Yes / No

Question

V No Yes No Yes Yes

Signature 5

No

Yes

Signature 3

No

Signature 2

Yes No No Yes Yes

Signature 1

Question VI Question IV Question III Question II Question I

Signature of Casing Pressure (CP)

SLIDE 13

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 13

Solution Design

Signature of Tubing Pressure (TP)

1) Production Signature : Major Points Identification

A. Surface On-Off Valve Opening;
B. Beginning of Slug Detection;
C. Maximum Tubing Pressure;
D. End of Slug Detection;
E. End of Acquisition Time;

SLIDE 14

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 14

Solution Design

Signature of Tubing Pressure (TP)

2) No Production Signature

If {C>A} THEN{PRODUCTION=YES} ELSE {PRODUCTION=NO} END

SLIDE 15

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 15

Solution Design

Applied Methodology Inside of Well Controller

Major Points Identification;
Comparisons based on

If {TRUE} THEN { PROCEDURE 1} ELSE {PROCEDURE 2} END;

Select Principal Equipment Failure from Error Message

Tree;

Send Error to the SCADA System via Radio;

SLIDE 16

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 16

Pilot Implementation

Pilot was implemented by Waves 1) 2 wells

a) Detect and Correct logical problem; b) Measure technician reaction; c) Explain how the algorithm works; d) Determine Error Tree priority;

2) 30 Wells

a) Definition of Responsibility Matrix; b) Analysis of false Error messages;

3) Broad Implementation

SLIDE 17

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 17

Lessons Learned

1) Listen to asset team; 2) Work with asset team (Synergy); 3) Before broad implementation, make sure that the algorithm works properly and doesn’t affect the whole system; 4) Be patient!!!! Apply Change Management is not an easy task; 5) By the end, it will be worthy; 6) Keep indicators tracking ; 7) Be prepare for maintenance and new implementations;

SLIDE 18

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 18

Conclusion

Connection between Production and Maintenance areas is very important to the success of in site well applications. It is necessary to add value to all information acquired from wells. Surveillance and Diagnostic Systems can help to increase the asset efficiency, minimizing production loss.

SLIDE 19

Feb. 4 - 8, 2007

2007 Gas-Lift Workshop 19

Gas-Lift Workshop

Qatar February 4 - 8, 2007

Self-Tuning Algorithm for Intermittent Gas Lift

Gustavo Moises – Artificial Lift Engineer Jaildo Silva – Petroleum Technician Joseil Silva – Petroleum Technician Nadilson Muniz – Petroleum Technician

Summary

1) Abstract 2) Starting Point 3) Solution Design 4) Pilot Implementation 5) Lessons Learned 6) Conclusion

Abstract

This work describes a self-tuning algorithm that was developed in PETROBRAS to identify equipment failures and behavior changes of intermittent Gas Lift wells Prior Objective: Improve asset production cycle efficiency

Starting Point

Snap Shot

Starting Point

WAN LAN LAN

Starting Point

Solution Design

Petroleum Technician Expertise made by Preliminary Analysis of

Solution Design

Signature of Casing Pressure (CP)

1) Normal Signature : Major Points Identification

Solution Design

Signature of Casing Pressure (CP)

Most Common Equipment Failures Signatures

2 ) Surface On-Off Valve Opening Failure 3) Gas Lift Valve Opening Failure

Solution Design

Signature of Casing Pressure (CP)

Most Common Equipment Failures Signatures

4) Casing Leakage 5) Surface On-Off Valve Leakage

Solution Design

Signature of Casing Pressure (CP)

Events described by binary variables

I) Was the Surface On-Off Valve opened? Yes / No II) Was the Gas Lift Valve opened? Yes / No III) Is there any Casing Leakage? Yes / No IV) Is there any Surface On-Off Valve Leakage? Yes / No V) If there is a leakage, is it severe? Yes / No VI) Is the Casing Pressure Signature normal? Yes / No

Solution Design

No Yes / No No Yes Yes Yes

Signature 4

Yes / No

V No Yes No Yes Yes

Signature 5

No

Yes

Signature 3

No

No

Signature 2

Yes No No Yes Yes

Signature 1

Question VI Question IV Question III Question II Question I

Signature of Casing Pressure (CP)

Solution Design

Signature of Tubing Pressure (TP)

1) Production Signature : Major Points Identification

Solution Design

Signature of Tubing Pressure (TP)

2) No Production Signature

If {C>A} THEN{PRODUCTION=YES} ELSE {PRODUCTION=NO} END

Solution Design

Applied Methodology Inside of Well Controller

If {TRUE} THEN { PROCEDURE 1} ELSE {PROCEDURE 2} END;

Tree;

Pilot Implementation

Pilot was implemented by Waves 1) 2 wells

a) Detect and Correct logical problem; b) Measure technician reaction; c) Explain how the algorithm works; d) Determine Error Tree priority;

2) 30 Wells

a) Definition of Responsibility Matrix; b) Analysis of false Error messages;

3) Broad Implementation

Lessons Learned

Conclusion

Connection between Production and Maintenance areas is very important to the success of in site well applications. It is necessary to add value to all information acquired from wells. Surveillance and Diagnostic Systems can help to increase the asset efficiency, minimizing production loss.

Conclusion Thank you! Questions????