Honeywell on-Line Optimization URT

8/10/2019 Honeywell on-Line Optimization URT

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1Feb. 6 - 10, 2012 2012 Gas-Lift Workshop

35thGas-Lift Workshop

Houston, Texas, USA

February 6 10, 2012

Honeywells On-line Gas LiftOptimization Solution

Ravi Nath and Sanjay Sharma

Honeywell Process Solutions

Houston, TX


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Agenda

Introduction

GLO problem definition

Traditional GLO solution

Honeywells GLO solution

Case Study Conclusions


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Introduction: Production Process mature field (no gas lift)

Reservoir

Well

Choke

Riser

Separator

Sales Gas

OilWater

Other Wells

P1

P2

P3

Mature field: lower reservoir pressure chokes are fully open production P

P1 reservoir pressure

P2 well head pressure = P1 liquid column weight

P3 separator pressure

othersuppliers

P4

P4 Gas pipeline pressure


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Introduction: Production Process mature field (gas lift)

Reservoir

Well

Choke

Riser

Separator

Lift Gas

OilWater

Other Wells

P1

P2

P3

Lift gas lightens the liquid column increases P2 increases P increases production

Sales Gas

othersuppliers

P4


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Introduction: Gas lift optimization problem definition

Reservoir

Well

Choke

Riser

Separator

Lift Gas

OilWater

Other Wells

P1

P2

P3

To determine the amount of gas lift to eachwell that will maximize oil production.

? ? ??

Sales Gas

P4

othersuppliers


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Gas lift optimization traditional solution

Assumes that the separator pressure (P3) is fixed.

Generates Gas Lift Performance Curves by well simulation.

Determines the optimum lift gas to each well and/or generatessensitivity tables.


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Gas lift optimization traditional solution work flow

Step Act iv ity Responsibility Frequency

1 Generate Gas Lift Performance Curves Production Engineer periodically

2 Generate sensitivity tables Production Engineer periodically

3 Implement gas lift optimization using

sensitivity tables

Board Operator hourly



Gas lift optimization traditional solution summary

Traditional gas lift optimization gives benefits, but less than estimated.

Can we do better? Yes!

How can we do it?1. Global optimization

Consider top side constraints

Compressor constraints Valve constraints Water handling constraints

Consider external factors Ambient conditions Sales gas pipeline pressure

2. Real time implementation

How much better?



Honeywells on-line Gas lift optimization : HGLO

1. Global optimization

Considers top side constraints Compressor constraints Valve constraints Water handling constraints

Considers external factors Ambient conditions

Sales gas pipeline pressure

2. Real time implementation



HGLO top side constraints -compressor

Compressor must be limiting , why?Increase in gas lift will increase gas flow to the compressor increase separator pressure tendency to reduce production

Reservoir

Well

Choke

Riser

Separator

Compressor

Lift Gas

OilWater

Other Wells

P1

P2

P3

? ? ??

Sales Gas

othersuppliers

P4



HGLO compressor constraint trade offs

Separator

pressureLift gas

Gas

Flow

Oil

Flow


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HGLO dynamic constraints

Top side constraints can change quickly and create short term

opportunities.

A real time optimizer is best suited to exploit such opportunities.

Examples: A drop in gas pipeline pressure

A rain or drop in ambient temperature


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HGLO change of state

As conditions change new constraint can becoming active.

Then implementing a stale optimum is not desirable; instead a re-optimization must be performed.

A real time optimizer is best suited to re-optimize.

Example: A lift gas valve going wide open A well comes on-line


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HGLO automation

A fast executing, on-line, real time optimizer is best suited for gas

lift optimization .

The optimizer can quickly respond to changes in the operatingenvironment.

Maximizes production.


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HGLO work flow

Step Act iv ity Responsibility Frequency

1 Generate Gas Lift Performance Curves Production Engineer Periodically

2 Determine global optimum solution NOVA Optimizer Minute by

minute

3 Control process and implement gas lift

optimization solution

Profit Controller Minute or

less


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HGLO -solution

Honeywell NOVA optimizer

State of the art SQP optimizer(with integer optimization capability) Fast execution, typically < 1 min Layered on Real Time execution platform (URT) Maximizes production subject to all constraints: top side and sub-sea Determines all lift gas flows as well as compressor operation

Honeywell Profit Controller Multivariable predictive controller Inherently robust controller (patented) Manages constraints in real time

Implements the optimum solution from Nova No additional instrumentation (beyond lift gas flow controllers)

No changes to compressor controls

Manipulates the same handles as operator


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HGLO case study

8 operating wells on a platform in GOM

Lift Curves from client (generated using Prosper)

Traditional GLO

HGLO (simulation)

Benefit estimation


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HGLO case study

8 operating wells on a platform in GOM.

Lift Curves from client (generated using Prosper).

Traditional GLO: Total lift gas, MMSCFD 6.4 9.5 12.6 Total production, BPD 54,954 55,362 55,951

HGLO: Total lift gas, MMSCFD 6.4 9.5 12.6 Total production, BPD 55,297 55,792 56,105

Benefit:

Initial production increase, BPD 343 430 514 Initial production increase, % 0.6% 0.8% 0.9%

1styear CF benefit*, MM$ 7.5 10 11.3 Project NPV benefit*, MM$ 5.5 7.3 8.2

*assuming : 80$/bbl, 15% IRR, 4.6 productive years remaining, linear decline

Case 1 Case 2 Case 3


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HGLO Results

HGLO

turned ON Production

Well sensitivities, bbl/SCF


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HGLO dynamic constraints


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Conclusions

0.8% initial production increase10 Million $ 1styear CF benefit7 Million $ NPV benefit

Honeywells on-line Gas Lift Optimization (HGLO)

Asset wide, real time optimization

Considers all constraints including the top side

Continuous constraint protection and opportunistic optimization

No new instrumentation:beyond lift gas flow controllers

Significant benefits:over and above traditional GLO


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Questions


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25Feb 6 - 10 2012 2012 Gas-Lift Workshop

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Honeywell on-Line Optimization URT