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6 - Kuwait Oil Company

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Conclusions<br />

ALES is basically a computerized model that uses<br />

a knowledge base of human expertise along with<br />

the proper design calculations for each A/L system<br />

available in KOC, all-in-one, providing the all<br />

necessary inputs to make right decisions. This<br />

concept has let KOC expedite the A/L selection and<br />

pre-design evaluation for each well with the same<br />

manpower providing very high quality results, which<br />

makes this system highly reliable for the company.<br />

In Summary, the following characteristics<br />

can be assigned to ALES:<br />

- Accurate, since all widely used assumptions<br />

and rules of thumb have been reduced<br />

to the minimum expression.<br />

- Time Saving due to all steps related<br />

to data analysis, A/L performance<br />

evaluation and method selection has been<br />

concentrated into three clicks only.<br />

- Assertive, since ALES considers all necessary<br />

equations, limits and properties to emit<br />

the results, providing a complete picture to<br />

the users to make the right decision.<br />

- Knowledge Transferring as result of the permanent<br />

availability of the experts in the KOC servers.<br />

- Complementary Trainer as new Engineers<br />

can use it to identify how changes in some<br />

parameters can impact and affect the method<br />

selection and the A/L performance, obtaining<br />

at the same time the assessment of the experts<br />

by warnings, suggestions and observations.<br />

Some new features will be added soon that will<br />

enhanced ALES capabilities such as TVD-MD<br />

corrections for horizontal/deviated wells, IPR for<br />

multilayers, IPR construction based on multirate<br />

tests, ESP design module, Gas Lift and Hydraulic<br />

Jet Pump pre-design and expert system modules.<br />

After all this improvements, it is expected ALES to<br />

be considered one of the most advanced petroleum<br />

engineering-related applications in KOC.<br />

REFERENCES<br />

- Espin, D. Gasbarri, S and Chacin J. 1994. Expert<br />

System for Selection of Optimum Artificial Lift Method.<br />

Paper SPE 26967 presented at the SPE Latin American<br />

& Caribbean Petroleum Engineering Conference,<br />

Buenos Aires, Argentina. 27-29 December<br />

- Clegg, J.D, Bucaram, S.M, Heln, J.R. 1993.<br />

Recommendations and Comparisons for<br />

Selecting Artificial-Lift Methods. Paper<br />

SPE 24834, JPT 15 December.<br />

- Takacs, G. 2003. Sucker-Rod Pumping Manual, First<br />

edition. Tulsa, Oklahoma: PennWell Corporation<br />

- Takacs, G. 2009. Electrical Submersible<br />

Pumps Manual: Design, Operations, and<br />

Maintenance, First edition. Burlington,<br />

Massachusetts: Gulf Professional Publishing<br />

- Cholet, H, G. 1997. Progressing Cavity Pump,<br />

First edition. Paris: Editions Technip.<br />

- American Petroleum Institute 2004. Recommended<br />

Practice for Sizing and Selection of Electric<br />

- Submersible Pump Installations: API Recommended<br />

Practice 11S4, Third edition. Washington<br />

D.C.: American Petroleum Institute<br />

- American Petroleum Institute 2008. Design<br />

Calculations for Sucker Rod Pumping Systems:<br />

API Recommended Practice 11L, Second edition.<br />

Washington D.C.: American Petroleum Institute<br />

- American Petroleum Institute 2010. Progressive Cavity<br />

Pumps for Artificial Lift: ANSI/API Standard 11D2, First<br />

edition. Washington D.C.: American Petroleum Institute<br />

36<br />

April - June 2013

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