SPE WA Technical Luncheon – Autonomous Inflow Control Devices (AICD) – Prediction Modelling

Abstract:

Optimising oil production from long horizontal wells to obtain maximum reservoir contact and effective reservoir sweep management has been a challenging task. Uneven production and early water or gas breakthrough are the main challenges to achieve the target production. For many years, inflow control devices (ICDs) which restrict flow by creating additional pressure have been used to mitigate this problem. They are, however passive in nature and once water or gas breakthrough, the chocking effect cannot be adjusted without intervention.

The autonomous inflow control device (AICD) is an active inflow control device with a self-adjustable design to self-regulate and provide greater chocking when gas and water breaks through. This prevents the well from being flooded when unwanted fluid breakthrough therefore providing the advantage of being able to even out the inflow into well and in addition choke compartments producing unwanted fluids leading to greater recovery, lower water cuts and gas production.

Prediction modelling used to select a well candidate process between Passive and Autonomous inflow control device using systematic approach. Analysis on actual results comparing modelling studies, field application and long term performance.

Presenter: Dr Ismarullizam Mohd Ismail 

Dr Ismarullizam Mohd Ismail is the Subsurface Engineering Manager for Tendeka based in Aberdeen, United Kingdom. He is in charge of inflow control and sand control research and development and reservoir modelling team. He has over 13 years of experience in multiple role in sand control and inflow control product starting from application engineer, operation engineer, product champion, technical advisor and currently in research & development. He has work for various major service company and university research. He holds a PhD and MSc. in Mechanical Engineering from University of Leeds, United Kingdom.

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