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Reservoir performance prediction becomes an important consideration for making the proper field development <br /> <br /> and optimization plan. In petroleum industries there is a need to estimate performance prediction for large-scale <br /> <br /> reservoir. The capacitance...
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id-itb.:251612018-09-03T13:37:29Z#TITLE_ALTERNATIVE# AULIA JUSTISIANANTO (NIM : 12214098), AHMAD Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/25161 Reservoir performance prediction becomes an important consideration for making the proper field development <br /> <br /> and optimization plan. In petroleum industries there is a need to estimate performance prediction for large-scale <br /> <br /> reservoir. The capacitance-resistive model (CRM) which regarded as a powerful method to quick-look the <br /> <br /> reservoir performance, has recently been used in many reservoirs to simulate the waterflooding program but only <br /> <br /> in single-layer reservoir case. <br /> <br /> The modification of CRM equation and fractional oil model that is suitable for multilayer reservoir case are <br /> <br /> developed in this study. A simple analytical method to estimate layered interwell connectivity, time response <br /> <br /> delay, and fractional model coefficient is introduced in order to obtain specific solution for multilayer CRM and <br /> <br /> fractional flow model equations. <br /> <br /> Both multilayer CRMIP and multilayer empirical fractional oil model has successfully validated with two layers, <br /> <br /> three layers, and four layers of synthetical reservoir case. Validation results show good agreement between the <br /> <br /> calculated rate with the actual rate from historical production data. The proposed method in this study is very <br /> <br /> attractive in understanding the behavior and property of layer-scale reservoir. Simple approach that is used in this <br /> <br /> model, make the new powerful and easy to use of multilayer reservoir simulation tool. <br /> text |
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Reservoir performance prediction becomes an important consideration for making the proper field development <br />
<br />
and optimization plan. In petroleum industries there is a need to estimate performance prediction for large-scale <br />
<br />
reservoir. The capacitance-resistive model (CRM) which regarded as a powerful method to quick-look the <br />
<br />
reservoir performance, has recently been used in many reservoirs to simulate the waterflooding program but only <br />
<br />
in single-layer reservoir case. <br />
<br />
The modification of CRM equation and fractional oil model that is suitable for multilayer reservoir case are <br />
<br />
developed in this study. A simple analytical method to estimate layered interwell connectivity, time response <br />
<br />
delay, and fractional model coefficient is introduced in order to obtain specific solution for multilayer CRM and <br />
<br />
fractional flow model equations. <br />
<br />
Both multilayer CRMIP and multilayer empirical fractional oil model has successfully validated with two layers, <br />
<br />
three layers, and four layers of synthetical reservoir case. Validation results show good agreement between the <br />
<br />
calculated rate with the actual rate from historical production data. The proposed method in this study is very <br />
<br />
attractive in understanding the behavior and property of layer-scale reservoir. Simple approach that is used in this <br />
<br />
model, make the new powerful and easy to use of multilayer reservoir simulation tool. <br />
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AULIA JUSTISIANANTO (NIM : 12214098), AHMAD |
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AULIA JUSTISIANANTO (NIM : 12214098), AHMAD #TITLE_ALTERNATIVE# |
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AULIA JUSTISIANANTO (NIM : 12214098), AHMAD |
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AULIA JUSTISIANANTO (NIM : 12214098), AHMAD |
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https://digilib.itb.ac.id/gdl/view/25161 |
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1821844894745886720 |