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optimize the completion, either by using reservoir simula- tors or steady-state hydraulics software

Conclusions

The methods described above have been successfully implemented to evaluate autonomous versus passive

ICDs in several large feld developments. Some stability problems were reported in the reservoir simulators and several suggestions have been made on how to improve the stability.

Setting annular fow in the completion annulus to zero when running the reservoir simulator seems to improve stability and create results often verifable by steady-state simulators like NETool. With ICDs or AICDs, annular fow is zero across the reservoir block such that the error by switching off annular fow can be disregarded. The fowing bottom hole pressure during the life of the well should also be compared to a simple NETool style steady state simulation to ensure the reservoir simulator is in fact calculating the pressured drop correctly.

Unless the bottom hole viscosity of oil and water is the same, an AICD should always outperform a passive

ICD system. Ensuring suffcient hydraulics capacity for total liquids over the life of the well is important when running these simulations. As the reservoir engineers become more comfortable with the AICD-coeffcients and with the ability to scale up and down for meeting the required fux rate, there should be a major increase in

AICD completions, similar to that experienced over the last 20 years with the passive ICD systems.

Benn Voll is VP Completions, Tendeka.

He is an MBA graduate with over 26 years’ experience in the oil and gas industry. He has 16 patents in the design and engineering of sand control products. Benn’s vast range of knowl- edge includes marketing, business planning, project management, well completions, hydraulics and drilling engineering.

ENHANCING TECHNOLOGY THROUGH

Ismarullizam Mohd Ismail is

Product Line Manager, Sand Control,

ENGINEERING DESIGN &

Tendeka. Mohd is responsible for sand control and infow control

PRODUCT DEVELOPMENT product development, material selection and subsurface modeling.

He holds a PhD and MSc. in

Mechanical Engineering from

University of Leeds, UK, specializing in Oilfeld Sand

Erosion and Corrosion.

Iko Oguche is a Development

Engineer, Tendeka. He is an Advanced

Mechanical Engineering graduate (MSc) from Brunel University, London.

He joined Tendeka as a development engineer in November 2011 and has been infuential in the design and optimization of near well-bore modeling software tools and analysis of well-bore compo- nents for monitoring optimum oil and gas production.

[email protected] www.nylacast.com

Booth 2341-J oedigital.com 042_OE0415_D&C1_Tendeka.indd 45 3/23/15 2:31 PM

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