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

S. Mishra, A. Pandey
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Abstract

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.
高CO2油藏采出气速率模型的拟合验证
Aishwariya油田Fatehgarh油藏位于印度拉贾斯坦邦Barmer盆地,储层流体中CO2含量非常高。之前开发了一个程序来模拟油藏二氧化碳对该领域水驱、聚合物驱和三元复合驱的影响(Mishra和Pandey 2017,2018)。另一个观察结果是,在这样一个二氧化碳含量非常高的系统中,产气量不遵循常规趋势。通常,天然气溶解在石油中,产出的天然气是从石油中释放出来的气体。然而,在像Aishwariya这样溶解气体中含有大量二氧化碳的系统中,产生的气体是从两种液体流(即油和水)释放出来的气体的累积。有趣的是,即使系统不再生产石油,天然气也能继续生产。在Aishwariya油藏条件下,进行了活体油岩心驱出产气量剖面。这项工作的目的是验证开发的建模程序,以预测油藏流体中二氧化碳含量非常高的系统的产气量。在Aishwariya油藏压力和温度条件下,采用12英寸长的Bentheimer岩心进行了活体驱油实验。在岩心用活油饱和后,岩心被盐水淹至约3.7孔隙体积。在不同时间测量采出气量,得出产气剖面。采用了两种不同的模拟技术来模拟实验并匹配产气量剖面。第一种技术是使用基于EOS的PVT的组合模拟器,而另一种技术是使用基于分区系数的“高级过程模拟器”对组件分布进行建模。这两种方法都可以成功地捕获两种液体流产生的气体;可以得到油、水和采出气的合理匹配。通过与Aishwariya油藏实际条件下的岩心驱油实验相匹配,验证了模拟CO2对Aishwariya油田不同含水驱过程影响的方法。尽管Aishwariya油田存在大量的二氧化碳,但它有助于确认对水性驱机制性能预测的信心。本文介绍了在Aishwariya油田高溶解CO2条件下进行的一次岩心驱非常规产气剖面的历史拟合。该方法可应用于其他油藏流体中CO2含量非常高的油田的产气量估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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