prognostics for oil & gas artificial lift applications

15
GE job title/1 1 GE Oil & Gas Proprietary & Confidential Information for internal use only © 2012 GE All Rights Reserved William Carrillo 2013 PHM Conference New Orleans GE Oil & Gas Prognostics for Oil & Gas Artificial Lift applications

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Page 1: Prognostics for Oil & Gas Artificial Lift applications

GE job title/1

1 GE Oil & Gas Proprietary & Confidential Information – for internal use only

© 2012 GE – All Rights Reserved

William Carrillo 2013 PHM Conference

New Orleans

GE Oil & Gas

Prognostics for Oil &

Gas

Artificial Lift applications

Page 2: Prognostics for Oil & Gas Artificial Lift applications

What’s our application?

Page 3: Prognostics for Oil & Gas Artificial Lift applications

Oil & Gas Environmen

t

Profile

Remote Site / Deep

operations

High CAPEX

Corrosive

High Temperature

Expensive Maintenance

Costs

Pressure to be

productive

Page 4: Prognostics for Oil & Gas Artificial Lift applications

Definition of Artificial Lift Gas Lift

ESP’s

PCP

HydroLift

Hydraulic Pumps Beam pump

Page 5: Prognostics for Oil & Gas Artificial Lift applications

Electro Submersible Pump System Monitor • Intake Pressure

• Intake Temperature

• Motor Temperature

• Discharge Pressure

• Vibration

• Motor Current

• Casing Pressure

• Tubing pressure

Control • ESP Motor Frequency

• ESP Remote Start

• ESP Remote Stop

Page 6: Prognostics for Oil & Gas Artificial Lift applications

Diagnostics using Analytic Analysis

Page 7: Prognostics for Oil & Gas Artificial Lift applications

Typical ESP failures & causes

Source: C-FER

FA

ILU

RE

S

FA

ILU

RE

S

MechanicalMechanical MaterialMaterial ElectricalElectrical OthersOthers

* Leaking

* Failed pressure test

* Stuck (e.g. does not rotate)

* Burst

* Bent

* Broken

* Disconnected

* Burn

* Corroded

* Worn

* Melted

* Overheated

* Short circuit

* Open circuit

* Faulty power

* Plugged with solids

* Contaminated fluid

CA

US

ES

C

AU

SE

S

Design relatedDesign related FabricationFabrication Storage & Storage &

TransportationTransportation InstallationInstallation OperationalOperational ReservoirReservoir

Improper :

* Equipment capacity

* Material selection

* System configuration

*Manufacturing problem

*Improper quality control

* Improper storage

* Improper transportation

* Assembly procedure

* Installation procedure

* Normal wear and tear

* Installation or

inadequate training

* Reservoir fluids

* Reservoir

performance

Page 8: Prognostics for Oil & Gas Artificial Lift applications

Diagnostics for ESP

Program

Development of a functional M&D system for ESPs

Transition to live field system

Advantage

Reliable lift performance

Reduced equipment downtime

Increased installed base and margin

Diagnostic

Solution

Domain knowledge

Analytics

Data

Data

Page 9: Prognostics for Oil & Gas Artificial Lift applications

Deliverables and Business value Deliverables Business Impact

Report & Algorithms :

• Data mining – identify

issues (known, emerging)

• Data for probabilistic

design

Tools & Algorithms :

• Anomaly Detection

• Change-Point Detection

• Data Fusion

Models & Tools :

• Survival Analysis

• Recurrent Event Analysis

• Probabilistic design models

Models & Tools:

• Long term service

agreements

• Optimize Spares & Logistics

• Optimize Maintenance

• Optimized operation

• ESP improved tracking

• Reduce downtime

• Services revenue

• Improved reliability

• Improved availability

• Lower cost of quality

• Lower lifecycle costs

Data Mining

& Reporting

Anomaly

Detection

Advanced

Reliability

Decision

Optimizatio

n 0 2 4 6 8 10 12 14 16 18 20

0

0.2

0.4

0.6

0.8

1

1.2

1.4Renewal Distribution (Percentiles of replacements per unit)

Design Life, years

M(t

), R

enew

als

Per

Unit

P2.5

P5

P10

P25

P50

P75

P90

P95

P97.5

Page 10: Prognostics for Oil & Gas Artificial Lift applications

How much will a failure cost?

• Lost production cost (Estimated): Price of oil barrel: $100

Typical production: 500 b/d

Water cut: 70% (percentage of water per each barrel produce)

Estimated downtime: 2 days (per incident in remote areas)

Estimated incidents per year: 10

Estimated savings: 500 b/d x 20 x 0.3 x $100 = $3MM !!

• Intervention cost (Estimated): Onshore conventional well: $5K to $25K per intervention

Onshore unconventional well: $150K to $250K per intervention

Offshore well: Up to $1MM per intervention

Intervention costs is often a deciding factor for customer sale!

Page 11: Prognostics for Oil & Gas Artificial Lift applications

Industrial Internet

Page 12: Prognostics for Oil & Gas Artificial Lift applications

GE job title/12

12 GE Oil & Gas Proprietary & Confidential Information – for internal use only

© 2012 GE – All Rights Reserved

Industrial Internet creating value in Oil & Gas

Intelligent

Machines Advance

Analytics People at

Work

Page 13: Prognostics for Oil & Gas Artificial Lift applications

In conclusion

The key for a successful Prognosis solution

implementation is an adequate management

of Big Data. At GE Oil & Gas, the Industrial

Internet will provide the tools and means

necessary to achieve this goal and facilitate

the transition to Brilliant Machines.

Page 14: Prognostics for Oil & Gas Artificial Lift applications

For more information, please visit..

Industrial Internet • http://www.ge.com/sites/default/files/Industrial_Internet.pdf

GE Predictivity™ Industrial Internet Solutions • https://www.ge.com/b2b/predictivity

Data Management & Data Analytics Software • http://www.ge-ip.com/products/data-management-data-analytics/c557

GE Oil & Gas Artificial Lift (ESP) • http://www.ge-energy.com/products_and_services/products/electric_submersible_pumping_systems/index.jsp

• http://www.ge-energy.com/products_and_services/products/artificial_lift_controls/index.jsp

Page 15: Prognostics for Oil & Gas Artificial Lift applications