A Robust Framework for ICD Design in a Giant Field Using 4-D Dynamic Modeling
- O. A. Ogunsanwo (Schlumberger) | B. O. Lee (Saudi Aramco) | O. Isichei (Saudi Aramco) | B. Amjad (Schlumberger)
- Document ID
- Society of Petroleum Engineers
- SPE Middle East Oil & Gas Show and Conference, 6-9 March, Manama, Kingdom of Bahrain
- Publication Date
- Document Type
- Conference Paper
- 2017. Society of Petroleum Engineers
- 5.6 Formation Evaluation & Management, 3.3 Well & Reservoir Surveillance and Monitoring, 1.6 Drilling Operations, 3.3.1 Production Logging, 2 Well completion, 3 Production and Well Operations, 5.5 Reservoir Simulation, 5.6.9 Production Forecasting, 2.3 Completion Monitoring Systems/Intelligent Wells, 2.3.3 Inflow Control Equipment, 5 Reservoir Desciption & Dynamics
- ICD Workflow, Dynamic Modelling, ICD Modelling Tool, 4-D Reservoir Modelling, ICD Design Framework
- 1 in the last 30 days
- 105 since 2007
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In this study, a review of production performance of four existing horizontal producers equipped with Inflow Control Device (ICD) completions was conducted using 4-D dynamic modelling on a sandstone reservoir with high water mobility. The aim of this study was to investigate the optimum regulation degree across ICD completion i.e. the ratio of pressure drop across ICDs to the reservoir drawdown, suitable to delay water breakthrough, minimize water cut and achieve production balance.
A single wellbore model was built by populating rock and fluid properties in 3-D around the wellbore for each of the studied wells. The model was then calibrated to the measured production log flow profile and bottomhole pressure profile for the deployed ICD completion in each well. Thereafter, several ICD simulation cases were run at target rates for a production forecast of 4 years. An optimum ICD case for each well was selected on the basis of water breakthrough delay, water cut reduction and incremental oil gain.
The study results showed that there is a correlation between reservoir heterogeneity index, well productivity index (PI) and optimum regulation degree required across ICD to achieve longer water breakthrough delay and better water cut control. In general, high heterogeneity, high PI wells require higher regulation degree across ICD of close to one; medium heterogeneity, low PI require regulation degree across ICD of between 0.3 – 0.45 while low heterogeneity, low PI, require very low regulation degree of between 0.1 – 0.15. Based on study results, a new ICD design framework and correlation chart were developed. This framework was then applied to two newly drilled horizontal producers to test the applicability of the workflow in real time ICD design scenarios and positive results were achieved.
Given the significant number of ICD completions deployed yearly, this new ICD design framework would provide guidance on how much pressure drop across ICD is required during real time design for newly drilled or sidetrack wells and would ultimately ensure maximum short and long term benefits are derived from deployment of ICD completions.
|File Size||1 MB||Number of Pages||14|
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