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Validation of Produced Gas Rate Modelling in an Oil Reservoir with Very High CO2 Through Matching of Live Oil Coreflood

机译:通过匹配Live Il CoreFlood匹配验证石油储水器中的储油储量模型

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Fatehgarh reservoirs in Aishwariya field, located in Barmer Basin of Rajasthan India, have very high CO2 content in reservoir fluid. A procedure was developed earlier to model the impact of reservoir CO2 on waterflood, polymer flood and ASP flood (Mishra and Pandey 2017, 2018) in this field. Another observation is that in such a system with very high amount of CO2, produced gas rate does not follow conventional trend. Conventionally, gas is dissolved in oil and produced gas is the gas released out from the oil. However, in a system like Aishwariya with very high amount of CO2 in dissolved gas, produced gas is the cumulative of gas released out from both liquid streams i.e., oil and water. Interestingly, gas can continue to produce even after no more oil is being produced from the system. A live oil coreflood was carried out to generate produced gas rate profile under Aishwariya reservoir conditions. The objective of this work was to validate the modelling procedure developed to predict the produced gas rate in such a system with very high amount of CO2 in reservoir fluid. A live oil coreflood experiment was carried out using 12 inches long Bentheimer core under Aishwariya reservoir pressure and temperature conditions. After saturating the core with live oil, the core was water flooded with brine for ~3.7 pore volumes. Produced gas volume was measured at different times so as to generate gas production profile. Two different simulation techniques were used to simulate the experiment and match the gas production profile. First technique was using a compositional simulator with EOS based PVT while the other technique was using an "advanced processes simulator" modeling the component distributions based on partitioning coefficients. Both methods could successfully capture the production of gas from both liquid streams; oil and water and a reasonable match for the produced gas could be obtained. The approach developed to simulate impact of CO2 on different aqueous based flooding processes in Aishwariya field was validated by matching the coreflood experiment carried out under actual Aishwariya reservoir conditions. It helped to confirm confidence in performance prediction of aqueous based flooding mechanisms planned in Aishwariya field despite the presence of significant amount of CO2. The paper presents history match of unconventional produced gas profile of a coreflood carried out under Aishwariya field conditions with very high amount of dissolved CO2. The proposed method can be applied to estimate produced gas rate in other fields with very high amount of CO2 in reservoir fluid.
机译:位于阿尔瓦里亚野外的阿希瓦里亚野外的Fatehgarh水库,位于Rajasthan印度的Barmer盆地,在水库流体中具有非常高的CO2含量。早些时候开发了一种程序,以模仿该领域的水库二氧化碳的影响(Mishra和Pandey 2017,2018)。另一种观察是,在这种具有非常高的CO2的系统中,产生的气体速率不会遵循常规趋势。通常,气体溶解在油状物中并产生的气体是从油中释放出的气体。然而,在溶解气体中具有非常高的CO2的Aishwariya这样的系统中,产生的气体是从液体流中释放出来的气体的累积。,油和水。有趣的是,即使在没有更多的油中,煤气也可以继续产生。在Aishwariya储层条件下进行了现场油芯,以在Aishwariya储层条件下产生产生的燃气速度曲线。这项工作的目的是验证开发的建模程序,以预测这种系统中的产生的气速,其在贮存器流体中具有非常高的CO 2。在Aishwariya储层压力和温度条件下,使用12英寸长的Bentheimer核来进行Live Oil CoreFlood实验。用活油饱和核心后,核心用盐水淹没〜3.7孔隙。在不同时间测量产生的气体体积,以产生气体生产曲线。使用两种不同的仿真技术来模拟实验并匹配气体生产型材。第一技术是使用基于EOS的PVT的组成模拟器,而其他技术是使用基于分区系数的“高级过程模拟器”建模组件分布。两种方法都可以成功地捕获来自液体流的气体的生产;可以获得油水和生产的气体的合理匹配。通过匹配实际Aishwariya水库条件下进行的CoreFlood实验,验证了在Aishwariya领域进行了模拟CO2对不同水基洪水过程的影响。尽管存在大量二氧化碳,但它有助于确认在Aishwariya领域中计划中计划的水性洪水机制的性能预测的信心。本文介绍了在Aishwariya田间条件下进行的核心普通的非常规生产气体轮廓的历史匹配,具有非常大量的溶解二氧化碳。可以应用所提出的方法来估计在贮存器流体中具有非常大量的CO 2的其他领域的产生的气速。

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