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Gas-Water Two Phase Flow Simulation Based on Pore Network Model for Reservoir Rocks

机译:基于孔网模型的储层岩石煤气水两相流模拟

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The relative permeability and capillary pressure are essential to investigate fluid flow in porous media, in terms of studying seepage characteristics of gas -water for CO2 emission reduction through deep saline sequestration. In this paper, we presented gas -water phase flow numerical simulation based on pore network extractions of four rock samples. The influence of temperature,-pressure and pore structure on relative permeability and capillary pressure were carefully investigated. Analysis of evaluated results demonstrated that pore structure has significant impact on relative permeability and capillary pressure both for gas/water drainage and imbibition cycles. However, the influence of temperature and pressure on relative permeability and capillary pressure for drainage cycle is neglect-able, while during the imbibition cycle, the gas phase relative permeability is decreasing with increasing pressure and temperature, while capillary pressure and wetting phase relative permeability are decreasing with increasing pressure and increasing with increasing temperature. That might cause by change of rock wetting behavior and interactions between fluid-gas-rock as temperature, pressure change which has more impact on gas flooding process than water flooding. After comparing numerical simulation results of drainage cycle based on Berea sandstone sample to the literature, it is seemed that numerical simulation based on pore network extractions is more efficient and economical method of studying seepage characteristics of gas -water at CO2 reservoir storage conditions.
机译:就研究通过深盐封存的CO2排放减少的渗流特性来研究多孔介质中的流体流动,相对渗透性和毛细管压力是必不可少的。本文基于孔隙网络提取的四个岩石样品呈现了气体相流数模拟。仔细研究了温度,缓和和孔隙结构对相对渗透性和毛细管压力的影响。评估结果分析表明,孔隙结构对气/排水和吸收循环的相对渗透性和毛细管压力产生显着影响。然而,温度和压力对引流循环相对渗透性和毛细管压力的影响是忽略的,而在吸入循环期间,气相相对渗透率随着压力和温度的增加而降低,而毛细管压力和润湿相相相相相相相相随着压力的增加和随着温度的增加而降低。这可能导致岩石润湿行为的变化和流体 - 气岩之间的相互作用作为温度,压力变化,这对气体泛滥的过程产生更多的压力变化而不是水驱。似乎基于Berea Sandstone样品对文献的排水循环的数值模拟结果进行了比较,似乎基于孔网络提取的数值模拟是研究CO2储层储存条件下气水渗流特性的更有效和经济的方法。

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