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Evaluation of reservoir parameter are usually done by well-testing and become a critical part, especially in young reservoir where most of the reservoir lithology are broadly sands interbedded with thin shales and debris flows. This lithology is prone to permeability reduction due to compaction, and...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/30666 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Evaluation of reservoir parameter are usually done by well-testing and become a critical part, especially in young reservoir where most of the reservoir lithology are broadly sands interbedded with thin shales and debris flows. This lithology is prone to permeability reduction due to compaction, and skin increase due to fines migration leading to PI degradation. <br />
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This research was done by modelling a well to obtain theoretical production rate and flowing bottom hole pressure (operating point) based on NODAL Analysis. The Inflow Performance Relationship for gas reservoir is approached by Babu & Odeh's horizontal pseudo steady-state flow equation. Extended Gray correlation for deviated well is used to construct Tubing Performance Curve. Theoretical production rate and FBHP were optimized to get exact value of permeability and skin factor in every time step by minimizing deviation between theoretical and field data with reverse problem method. PI degradation will be identified through plot of matched reservoir parameters versus time. <br />
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The procedures were applied to production data of deep water horizontal gas well in East Borneo, Indonesia. Using comparison to field data, we show minimum error between the theoretical production rate and flowing bottom hole pressure compare to field production rate and flowing bottom hole pressure. The result shows that the skin factor value has increased and the permeability value has declined over time. Related to driving mechanism, it shows that the reservoirs with fluid expansion and compaction drive mechanism are prone to PI degradation due to pore pressure reduction and high rock compressibility. Output of this study could be a solid foundation for forecasting future production rate and production optimization planning for future sustainability. |
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