Selected IO center research activities on

production optimization

Vidar Gunnerud – Production and performance optimization – IO center

Norwegian University of Science and Technology – NTNU

IO conference – Trondheim, September 2011

OUTLINE

• Workflow perspective

• Simulator Optimization

• Case study

Research partners

Selected IO center research activities on

production optimization

Vidar Gunnerud – Production and performance optimization – IO center

Norwegian University of Science and Technology – NTNU

IO conference – Trondheim, September 2011

OUTLINE

• Workflow perspective

• Simulator Optimization

• Case study

Production optimization – workflow perspective

AS-IS SITUATION

� Production engineer's decision support is

based on

- Pressure and temperature measures

- Well flow rate estimates

- Valve positions

- Various production measures

� Optimization software exists, but:

- It is only used on some assets

- Models are labor-intensive to maintain

- Quality of solution could be improved

Production engineer

Well operator

Production optimization – workflow perspective

VISION

� Improve production engineers’ decisions

on well management

- Identify wells for closer investigation

- Analyze alternative strategies

- Suggest well changes to well operator

� Provide tools for decision support

- Improved input models

- Optimization results integrated in existing decision

support tools

- Improved well production knowledge through

model update techniques

Production engineer

Optimal

decision

support

Well operator

Production optimization – workflow perspective

VISION

� Improve production engineer’s decisions

on well management

- Identify wells for closer investigation

- Analyze alternative strategies

- Suggest well changes to well operator

� Provide tools for decision support

- Improved input models

- Optimization results integrated in existing decision

support tools

- Improved well production knowledge through

model update techniques

Scenario 1 Scenario 2 Scenario 3

Production engineer

Optimization methods and software

Production

network

Optimization

Recommen-

dation 1

Recommen-

dation 2

Recommen-

dation 3

Production optimization – workflow perspective

PROGRAM 2 RESARCH

� Model maintenance

� Optimization

� The intersection between software and

people

� Workflow implications of new software

capabilities

� How new software tools affect

collaboration

� Several activities in collaboration with IO

center partners

- Statoil

- Petrobras

- FMC

- Kongsberg Oil & Gas Technology

- IBM

Production engineer

Optimal

decision

support

Well operator

Selected IO center research activities on

production optimization

Vidar Gunnerud – Production and performance optimization – IO center

Norwegian University of Science and Technology – NTNU

IO conference – Trondheim, September 2011

OUTLINE

• Workflow perspective

• Simulator Optimization

• Case study

/Ref: Statoil/

3x3 wells draining3 condensate reservoirs

140km multiphaseflow line

LNG plant,power generationCO2 capture

CO2 storagein undergroundstructure

ExportSnøhvit 2007->Capacity: 5 mill tonn per yr

Simulator optimization – Snøhvit

Model component i

Model component j

Simulator optimization – Snøhvit

Network simulator are in use – optimization

capabilities are lacking

Model component i

SimulatorOptimizer

model

Simulation

scheduler

Network

optimizer

Online

estimator

Model

updating

Model component

architecture

Model component j

SimulatorOptimizer

model

Online

estimator

User interface

i j

Example model

structureResearch

idea

Analytical

optimization

Black box

Derivative-free optimization A combination

Model component i

Model component j

Network simulator are in use – optimization

capabilities are lacking

Concept + example is being documented together with

IBM (Gunnerud, Conn, Foss) and will be available soon

Selected IO center research activities on

production optimization

Vidar Gunnerud – Production and performance optimization – IO center

Norwegian University of Science and Technology – NTNU

IO conference – Trondheim, September 2011

OUTLINE

• Workflow perspective

• Simulator Optimization

• Case study

Case study

Algorithmic approach

Separator

Well j

Manifold

1=jly

Mlp

Wjp

Wj

q

p

Plpq

Pipe l

Sp

Starting point

Run simulators

Create:

Surrogate well models

Surrogate pipe models

Establish

optimization problem

Solve with Bonmin

Well or pipe simulators

mismatch surrogate modelsWell or pipe simulators

match surrogate models –

“OPTIMAL” solution

Case study

Separator

Well j

Manifold

1=jly

Mlp

Wjp

Wj

q

p

Plpq

Pipe l

Sp

Results from test study

� Well models converge after:

- Two wells after two updates

- Last well after three updates

� Pipeline models converge after:

- First pipeline after two updates

- Second pipe line after four updates

� 2 min - to find high quality solution

Thank you

For more IO center research on Production

and performace optimization see:

www.iocenter.no

(and Reservoir management & production optimization)