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首页> 外文期刊>Journal of Petroleum Science & Engineering >Prediction of the surface tension of gas-based nanofluids plus model oils system by CPA EoS: Implementation in the simulation of by-passed oil recovery from a single block matrix of fractured reservoirs fully-immersed in the nanofluids
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Prediction of the surface tension of gas-based nanofluids plus model oils system by CPA EoS: Implementation in the simulation of by-passed oil recovery from a single block matrix of fractured reservoirs fully-immersed in the nanofluids

机译：CPA EOS预测天然气纳米流体加上模型油系统的表面张力：实施在纳米流体中全浸入裂缝储层的单块矩阵逐块矩阵模拟

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By increasing oil drainage from the gas-invaded zone of fractured reservoirs, the capillary force resists and a huge volume of the in-place oil is by-passed in the matrix blocks where the main recovery mechanism is gravity drainage. In this work, the effectiveness of the injection of gas-based nanofluids for the recovery of the by-passed oils is analyzed. Asphaltene was extracted from a dead oil sample and characterized. Model oils of asphaltene in n-heptane/toluene (heptol) solutions were prepared and the surface tension of the model oils thorn air was measured by pendant drop tensiometry. Cubic plus association equation of state (CPA EoS) with tuned parameters exhibits precise predictions of the surface tension data. The asphaltene self-association energy in the gas-liquid interface is found to be lower than that in the bulk of the liquids. This implies that the configuration of the asphaltene molecules in the bulk and the interface is not the same. The CPA EoS exhibits reasonable predictions of the surface tension of gas-based nanofluids thorn air system. Using the CPA EoS and the principles of the gravity displacement, a mathematical model was developed for the simulation of the by-passed oil recovery from a single matrix block fully-immersed in the gas-based nanofluids. It is found that, although the oil recovery is enhanced slowly by the nanofluids injection, no plateau is observed in the recovery factor curves in short injection times. The diffusion coefficient of the nanoparticles in the matrix block plays a key role in the by-passed oil recovery by the injection scenario.
机译：通过增加来自裂缝储存器的气体侵入区域的排水，毛细管力抗蚀剂和大量的就地油在基质块中通过，其中主恢复机制是重力排水。在这项工作中，分析了注射气体基纳米流体用于回收副通过油的有效性。从死油样品中提取沥青质并表征。制备正庚烷/甲苯（庚咯醇）溶液中沥青质的模型油，通过吊坠滴度测定模型油刺空气的表面张力。立方Plus状态（CPA EOS）具有调谐参数的状态（CPA EOS）表现出表面张力数据的精确预测。发现气液界面中的沥青烯自相关能量低于大部分液体中的沥青质自相关能量。这意味着散装和界面中的沥青质分子的配置不相同。 CPA EOS表现出对基于气体的纳米流体刺空气系统的表面张力的合理预测。使用CPA EOS和重力位移的原理，开发了一种数学模型，用于模拟从浸入基于气体基纳米流体的单个基质块的逐个矩阵块的模拟。结果发现，虽然通过纳米流体注射缓慢增强了溢油，但在恢复因子曲线中没有观察到短喷射时间的高原。基质块中的纳米颗粒的扩散系数在通过喷射方案中在旁路的溢油中起着关键作用。

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